Robot Brains – Meta-Guide.com

Notes:

The term “robot brain” refers to the central processing unit (CPU) or brain of a robot, which is responsible for controlling the robot’s actions and behaviors. The specific design and architecture of a robot brain can vary depending on the specific capabilities and functions of the robot.

In general, robot brains can be grouped into two main categories: analog and digital. Analog robot brains use continuous electrical signals to control the robot’s actions, while digital robot brains use discrete digital signals.

Analog robot brains are typically simpler and less expensive than digital brains, but are also less precise and less flexible. They are often used in simple robots that perform basic tasks, such as moving in a straight line or following a line on the ground.

Digital robot brains are more complex and can be more flexible and powerful than analog brains. They are often used in more advanced robots that require greater precision and control, such as robots used in manufacturing or robotics research. Digital robot brains may use a variety of technologies, such as microcontrollers, computer processors, or specialized hardware, and may be programmed using a variety of programming languages.

In general, the appearance of a robot brain will depend on the specific design and architecture of the robot, and may include a variety of hardware components, such as sensors, motors, and controllers, as well as software components, such as algorithms and control programs.

Associative neural architecture: This refers to a type of brain architecture that is inspired by the structure and function of the human brain. It is based on the idea that neurons in the brain are organized into networks that are activated by specific stimuli and that can learn and adapt to new experiences. In a robot brain with associative neural architecture, the connections between neurons are used to store and process information, and the strength of these connections can be adjusted based on the robot’s experiences.
Cognitive developmental brain: This refers to a type of robot brain that is designed to mimic the cognitive development of a human brain. It may include features such as learning, adapting, and developing new abilities as the robot gains more experience.
Distinct brain: This refers to a robot brain that is separate and distinct from the rest of the robot’s body. It may be located in a different location or may be connected to the body via a network of sensors and actuators.
Humanoid brain: This refers to a type of robot brain that is designed to control a humanoid robot, which is a robot that has a body shape and appearance similar to a human. A humanoid brain may include features such as natural language processing, facial recognition, and other capabilities that are useful for interacting with humans.
Hybrid brain: This refers to a robot brain that combines elements of different brain architectures, such as digital and analog, or rule-based and neural networks. A hybrid brain may be more flexible and adaptable than a single-type brain, but may also be more complex and harder to design and program.
In-vitro brain: This refers to a robot brain that is grown or developed in a laboratory or other artificial environment, rather than being built from physical components. An in-vitro brain may be developed from biological cells or from artificial materials, and may have the ability to learn, adapt, and change over time.
Positronic brain: This is a fictional concept that refers to a type of robot brain that is based on the idea of positrons, which are subatomic particles with the same mass as electrons but with a positive charge. In science fiction, positronic brains are often depicted as highly advanced and powerful, and are used to control robots with advanced capabilities.
Smart brain: This term is often used to refer to a robot brain that is capable of advanced reasoning and problem-solving, and may include features such as machine learning and natural language processing. A smart brain may be able to learn and adapt to new situations and environments, and may be able to perform complex tasks that require a high level of intelligence and decision-making ability.

Wikipedia:

Brain-computer interface (BCI)
Head-mounted display (HMD)

References:

Neuromorphic and Brain-Based Robots (2011)
The Cybernetic Brain: Sketches of Another Future (2011)
Robot Brains: Circuits and Systems for Conscious Machines (2007)
Robot Brains (2006)

Neural Cognitive Computing Mechanisms
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… Until now, the robots’ brains are only intelligent terminals and these robots’ brains are responsible for complex computing tasks, signal reception, command delivery and other … How does the robot brain identify key information (eg, faces, gestures or obstacles) from images …

Design and Implementation of a Smart Mobile Robot with Living Organisms Detection for Fire Extinguishing in Closed Areas Based on GSM
HM Marhoon – 2020 – easychair.org
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Evolutionary Robotics: Coevolution and Complexity
C Spanellis – projects.cs.uct.ac.za
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Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network
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… This data can be found here: http://www.eecs.qmul.ac.uk/mmv/datasets/deap/. Abstract. In the human-computer interaction (HCI), electroencephalogram (EEG) access for automatic emotion recognition is an effective way for robot brains to perceive human behavior …

Object Recognition Development for Android Mobile Devices with Text-to-Speech Function Created for Visually Impaired People
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The Effects of Robotics Programming on Secondary School Students’ Problem-Solving Skills.
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… It is the most effective for 4-8 grades. The VEX IQ Robot Brain Perception Level 5-point Likert- Type Scale Score Range PSI PSPS … 223 Figure 7. Code block activity that prints his/her name on the robot’s brain four times with each name on each line 2.4.2. Week 2 …

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… B. Robot Brains The controller of the robots is based on Central Pattern Generators (CPG) after [9, 10] … The number of configurable parameters for a robot brain is thus j+c, where j is the number of joints, and c is the number of connections between joints; in Figure 2 we show an …

Influences of Artificial Speciation on Morphological Robot Evolution
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… B. Robot Brains The controller of the robots is based on Central Pattern Generators (CPG) after [12, 13] … The number of parameters that need to be configured for a robot brain is thus N +C where N is the number of joints and C is the number of connections between joints, cf …

the key technologies of brain-computer interface
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… Abstract: As an important branch of intelligent robots, brain-computer interface (BCI) technology has great application prospects in the fields of neurological rehabilitation, functional prosthesis assistance and neurological monitoring …

Efficient and Small Network Using Multi-Trim Network Structure for Tactile Object Recognition on Embedded Systems
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… ABSTRACT Tactile object recognition (TOR) is critical in robot perception. However, as an embedded system, a robot brain has a fixed resource budget and is unsuitable for modern convolutional neural networks (CNNs). To …

Intelligent Internet of Things gateway supporting heterogeneous energy data management and processing
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Research on the Bionic Product Design of Smart Home Robots for the Urban Youth
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… The robot brain system is equipped with four microphones, a hemisphere camera, a temperature camera and a depth camera, and the whole body has various sensors such as air pressure, distance measurement and so on …

Lizard brain: Tackling locally low-dimensional yet globally complex organization of multi-dimensional datasets
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… experience (Li et al., 2019). This might require the emergence of specialized functions in the robot “brain.”. Tackling the complexity of high-dimensional data spaces is a central challenge in machine learning. The famous notion of …

Understanding Social Cognition Using Virtual Reality: Are We still Nibbling around the Edges?
RS Calabrò, A Naro – 2020 – mdpi.com
… Furthermore, VR represents one of the most promising technologies for neurorehabilitation, beyond robots, brain-computer interfaces, wearable devices for human movement analysis, noninvasive brain stimulators, neuroprostheses, and computers/tablets for electronic clinical …

Multimodal treatment for spinal cord injury: a sword of neuroregeneration upon neuromodulation
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… cord injury. With the development of biomaterial technology and biomechanical engineering, several emerging treatments have been developed, such as robots, brain-computer interfaces, and nanomaterials. These treatments …

Modeling empathy in social human-robot interaction
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… The field of knowledge representation and reasoning provides a lot of new insights for the future of robotics and could very likely be part of a future robots’ brain … SQ 3 : ”What are the required components/modules in the robots brain ar- chitecture?” …

Comparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots
M De Carlo, E Ferrante, AE Eiben – Proceedings of the 2020 Genetic …, 2020 – dl.acm.org
… and an active joint module. The robot brains (con- trollers) have a network structure where each joint of the body has a coupled oscillator that drives it, and neighboring joints are connected to each other. The design of the controller …

Conceptual design of BCI for mobile robot control
K Miatliuk, A Nawrocka, K Holewa, V Moulianitis – Applied Sciences, 2020 – mdpi.com
… part of the paper. Keywords: mechatronics; mobile robot; brain computer interface; mechatronic design; control mechatronics; mobile robot; brain computer interface; mechatronic design; control. 1. Introduction. At the end of the …

Robot-assisted neurosurgery versus conventional treatment for intracerebral hemorrhage: A systematic review and meta-analysis
R Xiong, F Li, X Chen – Journal of Clinical Neuroscience, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

OpenBot: Turning Smartphones into Robots
M Müller, V Koltun – arXiv preprint arXiv:2008.10631, 2020 – arxiv.org
… a commodity smartphone for sensing and computation (Figure 1). The smartphone acts as the robot’s brain and sensory system. This brain is plugged into a cheap electromechanical body that costs less than $50. Using off-the-shelf smartphones as robot brains has numerous …

Artificial intelligence as a new category of civil law
EA Kirillova, OE Blinkov, NI Ogneva… – J. Advanced Res. L. & …, 2020 – HeinOnline
… shop assistants, musicians, actors. Robot brain chips, as well as the use of artificial intelligence in the military-industrial complex and in other areas of society, are being developed (Kaplan, Haenlein 2019). The degree of human …

Rapid prediction of respiratory motion based on bidirectional gated recurrent unit network
S Yu, J Wang, J Liu, R Sun, S Kuang, L Sun – IEEE Access, 2020 – ieeexplore.ieee.org
Page 1. Received February 21, 2020, accepted March 5, 2020, date of publication March 11, 2020, date of current version March 19, 2020. Digital Object Identifier 10.1109/ACCESS. 2020.2980002 Rapid Prediction of Respiratory Motion Based on …

Topics and trends in artificial intelligence assisted human brain research
X Chen, J Chen, G Cheng, T Gong – PloS one, 2020 – journals.plos.org
Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in application scope of AI-assisted …

Intra-cortical brain-machine interfaces for controlling upper-limb powered muscle and robotic systems in spinal cord injury
N Fatima, A Shuaib, M Saqqur – Clinical Neurology and Neurosurgery, 2020 – Elsevier
… We used different MeSH terms (with Boolean Operator “And” and “OR”) which included: “upper limb”, “upper extremity”, “hand”, “grasp”, “exoskeleton”, “powered exoskeleton”, “orthosis”, “robot”, “brain computer interface”, “brain-machine interface”, “brain-controlled”, “motor …

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots
M Wairagkar, MR Lima, D Bazo, R Craig… – arXiv preprint arXiv …, 2020 – arxiv.org
… We conclude that simplified hybrid-face abstraction conveys emotions effectively and enhances human-robot interaction. Index Terms— Affective Robot, Brain-Robot Interface, Emotional Response, Event-Related Potential, Facial Expression, Human-Robot Interaction …

Introduction of Brain Cognition
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… Brain-inspired robots implement the biological mechanisms by sending orders from synapsis (memorizer) to neurons (backend monitoring center) and activating a series of brainwaves (pulse) for the robots to engage in brain-inspired compressive tracking …

Extending Concepts of Mapping of Human Brain to Artificial Intelligence and Neural Networks
A Joghataie – Scientia Iranica, 2020 – pdfs.semanticscholar.org
… through hardware or numerical simulations using artificial neural networks. 16 Keywords— Neural networks, Artificial intelligence, AIculus, NNculus, autonomous robots, brain mapping, 17 cortical homunculus, sensory homunculus 18 1. INTRODUCTION 19 …

Leg Structure Design for Special Hexapod Robot with Climbing Vertical Walls Ability
W CHENG – … Conference on Electrical Engineering and Control …, 2020 – ieeexplore.ieee.org
… robot. Among them, module 3 is the motherboard, is the control core of the robot, all the information received is fed back to here and all the messages sent out come from here, it undoubtedly plays the role of robot brain. Module …

Some Experiments on the Influence of Problem Hardness in Morphological Development Based Learning of Neural Controllers
M Naya-Varela, A Faina, RJ Duro – International Conference on Hybrid …, 2020 – Springer
… In fact, this has resulted in a noticeable growth of the field of Artificial Embodied Intelligence (AEI) [4, 5]. AEI postulates that robot intelligence emerges from the interaction between the robot brain, its morphology and the domain it is faced with …

Swimming Figures with Robots (Choreography)
J Leoste, L Pastor, JSM Lopez, C Garre… – Proceedings of the Future …, 2020 – Springer
… and VEX IQ. A typical ER has a programmable robot brain, 2 or more engines to move the robot, a number of different sensors for detecting light, movement, touch, etc., and is easily programmable with a dedicated app. At the …

Robot Programming without Coding
G Lentini, G Grioli, MG Catalano… – 2020 IEEE International …, 2020 – ieeexplore.ieee.org
… The authors are brought to think, from their experience in working with robots, that two of the pieces missing in this jigsaw are the right bodies for robots to be able to learn, on one side, and the choice of the right instruments for letting robot brains to communicate with humans, to …

On Task-Specific Redundant Actuation of Spring-Assisted Modular and Reconfigurable Robot
C Singh, G Liu – 2020 IEEE International Conference on …, 2020 – ieeexplore.ieee.org
… There is still much research room to be undertaken toward increasing robot brain and intelligence to form better plans with the brawn they have innately, whereas the physical capabilities and skill of robot manipulators are already much better understood, [1]. Compared with …

Integrating LMS and IoT in the Educational System
D Ganea, M Cr?ciun, C Aram?, C Vlad – … de Jos” din Gala?i. Fascicula II …, 2020 – gup.ugal.ro
… In this case a Raspberry Pi 4 Model B 4GB RAM was used (figure 2). This tiny desktop computer with dual- display can be a network AI core, a robot brain, factory controller, a smart home hub, and much more (figure 2) [10-12]. The role of a SBC is to support the IoT ecosystem …

Spy Robot that is Controlled by Bluetooth Android Mobile
B Suhendar, Y Hendra – 1st International Multidisciplinary …, 2020 – atlantis-press.com
… robot movement. • The Bluetooth module will act as an interface between the smart phone and the microcontroller. • Arduino Uno will act as a robot brain. The robot’s movement will be determined by the micro controller. • The …

A brain-inspired framework for evolutionary artificial general intelligence
M Nadji-Tehrani, A Eslami – IEEE transactions on neural …, 2020 – ieeexplore.ieee.org
… The CPPN, in conjunction with HyperNEAT [21], has proven to be very successful in evolving robot brains for improving motor behavior [21]. CPPN is created as a network of functions that can help produce phenotypes that follow patterns along with modularity and regularity …

Ontology-based knowledge model for human-robot interactive services
DS Chang, GH Cho, YS Choi – Proceedings of the 35th Annual ACM …, 2020 – dl.acm.org
… 3 ROBOT FRAMEWORK 3.1 Overview of Background Framework As shown in Fig.2, Artificial robot brain intelligence (ARBI) frame- work, a background framework operating based on the knowledge model proposed in this study, consists of a task planner, a context reasoner …

Cloud-Based Framework for Robot Operation in Hospital Environments
NMF Ferreira, J Boaventura-Cunha – Portuguese Conference on Automatic …, 2020 – Springer
… that were sent by web service, and therefore processed by software routines to perform SLAM task outside robot “brain”, provides a … Issues regarding security could be treated outside robots “brains”, were several tested software’s such as proxy servers or encryption programs …

Erle-copter Simulation using ROS and Gazebo
K Kumar, SI Azid, A Fagiolini… – 2020 IEEE 20th …, 2020 – ieeexplore.ieee.org
… The Erle-copter is the first Linux based smart drone that utilize robotics frameworks for example the Robot Operating System (ROS) [10]. The Erlecopter is equipped with the Erle brain 3, which is the latest edition of the robot brain from Erle robotics …

Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces
Z He, Z Li, F Yang, L Wang, J Li, C Zhou, J Pan – Brain Sciences, 2020 – mdpi.com
With the continuous development of portable noninvasive human sensor technologies such as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing attention in the area of affective computing. This paper primarily discusses the progress of research …

Detection of Error-Related Potentials during the Robot Navigation Task by Humans
K Nakamura, K Natsume – 2020 International Conference on …, 2020 – ieeexplore.ieee.org
… Consequently, we could obtain >70% of the maximum classification accuracy among subjects and 0.60 ± 0.22 of the area under curve. Keywords— EEG? Robot? Brain Machine Interface (BMI) ? Error-related potential? Human–Robot Interaction …

Effectiveness of technological interventions to improve upper limb motor function in people with stroke in low-and middle-income countries: Protocol for a systematic …
MMC Galarza, NO Chinchihualpa-Paredes… – medRxiv, 2020 – medrxiv.org
… Iosa conducts a review describing the “Seven capital devices for the future of Stroke rehabilitation”: robots, brain computer interfaces, neuroprostheses, non-invasive brain stimulators, wearable devices, virtual reality and tablet-pc.11 Likewise, other technologies such as …

Development of the Children’s Abilities in School.
AM Popa – Revista de ?tiin?e ale Educa?iei, 2020 – ceeol.com
… A typical ER kit contains a smart brick, acting as the robot brain, various sensors (eg the ones for light, colour, distance) and various other elements to be attached to the main module. A popular ER kit is Mindstorm, designed by LEGO. At the first LEGO competition …

EMSIAC Wars: Re-inserting the Human in Bernard Wolfe’s Limbo
M Ryder – Extrapolation., 2020 – search.proquest.com
… All the people he knew and had cared about (including himself: see his life with Irene) seemed to him now, in retrospect, to be little EMSIACs, little war-makers, little robot brains; the big EMSIAC had just put them all together, pooled their little wars and made a hell of a big war …

Robot Arm Teleoperative System Design with Flex Sensor
I Alfianto, A Falih, A Halim – Technium: Romanian Journal of …, 2020 – techniumscience.com
… This type of robot can find out the environmental conditions around it because it is equipped with sensors. Sensors for automatic robots function as input components that can provide data about their environment to the processor which functions as an automatic robot brain …

JCATI Automated Pyrolysis Project
J Lopez – 2020 – digitalcommons.cwu.edu
… The parts used in this test are a V5 Robot Brain, a device created for heating the scraps (an Oven), a Cover for the Oven (Cover), a Dispenser, 1st Rotary Page 16 … 3. Activate the V5 Robot Brain and activate the Complete Code program …

Measuring weighting factor of eigenstates in quantum superposition by classical mechanical ‘quantum’computer
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… force instead of self-propelled. Next, let’s assume that this type of quantum computer is installed in an example robot brain. Many qubits will be prepared for the complicated calcu- lations required by AI. Google[10] claims that …

Evolutionary Psychology and Robotics
R Finkelstein – The Sage Handbook of Evolutionary Psychology …, 2020 – books.google.com
… ROBOT INTELLIGENCE, LEARNING, ADAPTATION, WISDOM, AND SELF- AWARENESS invoke mysterious spiritual phenomena outside the realm of science. Likewise, the robot mind consists of the computational processes of the robot brain …

Design of a flexible reconfigurable mobile robot localization system using FPGA technology
A Ghorbel, N Ben Amor, M Jallouli – SN Applied Sciences, 2020 – Springer
… So, our approach is to propose a global modular FPGA based system for robot navigation where the FPGA is the robot’brain’ to manage complex tasks that other embedded platforms cannot guarantee especially for complex vision applications …

Adaptive Kalman Filtering for Hybrid ToA/AoA Navigation System
N Petukhov, A Chugunov, A Mitic… – … Ural Symposium on …, 2020 – ieeexplore.ieee.org
… [3] J. Lim, S. Lee, G. Tewolde and J. Kwon, “Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot’s brain,” 2015 IEEE International Conference on Electro/Information Technology (EIT), Dekalb, IL, 2015 …

Integrating Metamaterial Antenna Node and LiFi for Privacy Preserving Intelligent COVID-19 Hospital Patient Management
A Garhwal, M Bunruangses, AE Arumona, P Youplao… – Cognitive Computation – Springer
Light fidelity (LiFi) and wireless fidelity (WiFi) can be applied with the same network under the different constraints, which is suitable for COVID-19 sur.

WPI Teacher Prep. Practicum at Clinton High School
A Ring – 2020 – digital.wpi.edu
… Now it’s time to try coding your robot using the V5 Block Code Instructions: In your Programming Group, open the program and make sure the robot brain is connected. Explore the program, connect your motors, and test it. When …

Future of Job Market in the Fourth Industrial Revolution
PN Hoang, BTT Trang – 17th International Symposium on …, 2020 – atlantis-press.com
Page 1. 1 INTRODUCTION In the Fourth Industrial Revolution Era, most large technology companies such as Google, Amazon, Fa- cebook, IBM, and Microsoft have placed a high pri- ority on the application and development of Artificial Intelligence (AI) …

Haptic touch to improve motor skills and sense of touch of stroke patients
TS Chow – 2020 – eprints.utar.edu.my
… Several kind of devices are used to help assist in stroke rehabilitation. Some of the examples are robots, brain computer interfaces, neuroprosthesis and more (Iosa et al., 2012). Some popular current technological based solutions for stroke patients are using Page 13 …

Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study
PM Kebria, A Khosravi, I Hossain… – … on Systems, Man …, 2020 – ieeexplore.ieee.org
… Fig. 3 shows different components of the modified platform. The robot brain is a Nvidia Jetson board. It receives and process visual information and sensory measurements and executes commands for operating the au- tonomous robot …

Artificial Cognitive Architectures Review
A Toschev, M Talanov – BioNanoScience, 2020 – Springer
In this work we present the review of cognitive architectures and bio-inspired approaches used for cognitive modeling with focus on consciousness and commo.

Deep learning in plant diseases detection for agricultural crops: a survey
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… ahealthyone.TheyhaveusedbothAlexNet modelandSqueezeNetmodelandachievedaccuracy resultsof95.65%,and94.3%respectively.The reportedresultssuggestedtheuseofSqueezeNet asagoodlightweightcandidatefordeployingdeep learningmodelinarobotbrainora …

Use of Communication Robots in Health Care
EA Konijn, JF Hoorn – The International Encyclopedia of Media …, 2020 – Wiley Online Library
… robots. He combines user studies with the design of artificial intelligence (AI) systems in developing the Robot Brain Server, handling data, data security, AI, and a Cloud for the robot as a safe and trustworthy confidante to its user …

Evolving robot software and hardware
AE Eiben – Proceedings of the IEEE/ACM 15th International …, 2020 – dl.acm.org
… parents. The body of the offspring is then created by the Robot Fabricator. The evolution of robot brains is partly similar, the offspring starts is life cycle with the combination of the brain coding segments of the parents. However …

Citizen robots: biopolitics, the computer, and the Vietnam period
M Ryder – 2020 – eprints.lancs.ac.uk
… This blurring of the human and the machine continued at pace during the Second World War, with electronic devices often depicted as ‘robot brains’ or ‘Directors’ overseeing … robot brain. With America’s first overt activities in Vietnam in 1955, so the machine-like qualities …

Follow me Robot-Mind: Cloud brain based personalized robot service with migration
L Hu, Y Jiang, F Wang, K Hwang, MS Hossain… – Future Generation …, 2020 – Elsevier
… 3.1. Follow me robot-mind introduction. As a kind of robot brain encapsulated in the virtual network world, the follow me Robot-Mind has the thoughts of a human user and can move with the user and accompany him/her while they grow up …

Harari and Kaku
N ARAKI – Bull. Hiroshima Inst. Tech. Research Vol, 2020 – it-hiroshima.ac.jp
… Our best robots can barely recognize simple objects like a cup or a ball. The robot’s eye may see details better than a natural eye, but the robot brain cannot recognize what it is seeing. […] Robots also have a problem with common sense …

Electron Cloud Density Generated by Microring-Embedded Nano-grating System
M Bunruangses, P Youplao, IS Amiri… – Plasmonics, 2020 – Springer
… the ethic robotic brain. Therefore, the use of the integrated circuits of the QCA chip has the potential for the ethic humanoid robot brain applications. References. 1. Clarson SJ (2009) Charles Darwin and silicon. Silicon 1:59–63 …

Analysis of the use of the UTAUT model for modeling the information technology acceptance process
M Czerwinska – Journal of Computer Sciences Institute, 2020 – ph.pollub.pl
… [23] G. Wolbring, L. Diep, S. Yumakulov, N. Ball, D. Yergens, Social robots, brain machine interfaces and neuro/cognitive enhancers: Three emerging science and technology products through the lens of technology acceptance theories, models and frameworks, Technologies 1 …

The Prospective of Library Spurred by Artificial Inteligence-China Survey
B Wang, Y Qin, Q Huang – 2020 3rd International Conference …, 2020 – ieeexplore.ieee.org
… In the future, with the improvement of the quality of library professional Nnowledge database, the Nnowledge of robot brain is enriched, and intelligent consulting robots will become more and more intelligent and professional [16] …

Knowledge Building, Innovation Networks, and Robotics in Math Education
A Khanlari – 2020 – researchgate.net
Page 1. Knowledge Building, Innovation Networks, and Robotics in Math Education by Ahmad Khanlari A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department of Curriculum …

Newspaper coverage of artificial intelligence: A perspective of emerging technologies
S Sun, Y Zhai, B Shen, Y Chen – Telematics and Informatics, 2020 – Elsevier
… Chi-square test showed that there was a statistically significant difference in the distribution of the topics ( x 2 (13) = 1566.16, p < .001). Further tests showed that the three topics (robot, brain science, and regulation) contributed the most to the overall variance of distribution …

Mixed-reality robotic games: design guidelines for effective entertainment with consumer robots
FG Prattico, F Lamberti – IEEE Consumer Electronics Magazine, 2020 – ieeexplore.ieee.org
… foster the RIF compared, eg, to autonomous behaviors (AI control) but also to approaches based, eg, on Wizard of Oz (WoOz) techniques (in which the robot is directly con- trolled by another player who, however, is not considered as an agent in the IP, but just as the robot “brain …

Towards a theoretical framework of autonomous systems underpinned by intelligence and systems sciences
Y Wang, M Hou, KN Plataniotis… – IEEE/CAA Journal of …, 2020 – ieeexplore.ieee.org
Page 1. Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences Yingxu Wang, Senior Member, IEEE, Ming Hou, Senior Member, IEEE, Konstantinos N. Plataniotis, Fellow …

Automatic Collecting and Shooting Mobile Robot
CC Hung, HY Hsu, WC Li, CY Li… – International Journal of …, 2020 – pdfs.semanticscholar.org
… 7, no. 6, pp. 583-589, November 2018. [10] J. Lim, S. Lee, G. Tewolde and J. Kwon, “Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot’s brain,” in Proc …

Review on robot following human using body area structure to detect the innominate miscellaneous
V Harikrishna, M Lavanya – Materials Today: Proceedings, 2020 – Elsevier
… Japan in 2011. Google Scholar. [3] “Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a Smartphone as the robot’s brain” by jongil lim in 2015. Google Scholar. [4] “Ultrasonic …

ToA Positioning Algorithm for TDoA System Architecture
A Chugunov, N Petukhov… – 2020 International …, 2020 – ieeexplore.ieee.org
Page 1. 2020 International Russian Automation Conference (RusAutoCon) 978-1-7281-6130-3/20/$31.00 ©2020 IEEE ToA Positioning Algorithm for TDoA System Architecture Alexander Chugunov Radio&Electronics Department …

EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband
C Simar, M Petieau, A Cebolla, A Leroy… – … Joint Conference on …, 2020 – researchgate.net
Page 1. EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband Cédric Simar Machine Learning Group Université Libre de Bruxelles Bruxelles, Belgique cedric.simar@ulb.ac.be …

On artificial intelligence and consciousness
POA Haikonen – Journal of Artificial Intelligence and Consciousness, 2020 – World Scientific
… Helsinki University of Tech- nology, Applied Electronics Laboratory. Haikonen, PO [2003] The Cognitive Approach to Conscious Machines (Imprint Academic). Haikonen, PO [2007] Robot Brains: Circuits and Systems for Conscious Machines (John Wiley & Sons) …

Artificial Intelligence and Robotics: Ten Short Lessons
PJ Bentley – 2020 – books.google.com
Page 1. POCKET EINSTEIN Artificial Intelligence and Robotics Peter J. Bentley TEN SHORT LESSONS Page 2. Artificial Intelligence and Robotics Ten Short Lessons Page 3. Also in the POCKET EINSTEIN series Space Travel: Ten Short Lessons Page 4 …

FPGA-based experiments for demonstrating bi-stability in tabu learning neuron model
D Zhu, L Hou, M Chen, B Bao – Circuit World, 2020 – emerald.com
… As an important application, the FPGA-based neuron circuits which operate with the same neuronal electrical activities can be applied to cure the diseases of human brains and to improve the performance of robot brains (Hayati et al., 2016) …

Supplementary Information for
ML Elliott, AR Knodt, D Ireland, ML Morris, R Poulton… – biorxiv.org
Page 1. 1 Supplementary Information for What is the test-retest reliability of common task-fMRI measures? New empirical evidence and a meta-analysis Maxwell L. Elliott1†, Annchen R. Knodt1†, David Ireland2, Meriwether L …

Cost Effective Mobile Robots Navigation and Mapping System for Education
GG Jaman, N Farheen… – … and Computing (IETC), 2020 – ieeexplore.ieee.org
… REFERENCES [1] J. Lim, S. Lee, G. Tewolde and J. Kwon, “Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot’s brain,” 2015 IEEE International Conference on Electro/Information Technology (EIT …

Brain-Inspired Perception, Motion and Control
W Wang, X Deng, L Ding, L Zhang – Brain-Inspired Intelligence and Visual …, 2020 – Springer
… time stimulation. 6.4.1 Brain-Inspired Motion and Control of Robotic Systems. Similar to the human brain, cognition process of robots’ brain should contain two processes—acquiring knowledge and applying knowledge. This …

Research on robot boxing movement simulation based on kinect sensor
P Li – EURASIP Journal on Wireless Communications and …, 2020 – Springer
… The stability of the robot is determined according to the COM projection method, and the unstable attitude is corrected to control the joint angle of the brain robot. The general control flow of the system is shown in Fig. 8. Fig. 8 figure8. Brain robot action simulation process …

Automation, Innovation and Work: The Impact of Technological, Economic, and Social Singularity
JA Johannessen, H Sætersdal – 2020 – books.google.com
Page 1. Automation, Innovation and Work Artificial intelligence will not necessarily create a super- intelligent “human robot”; however, it is very probable that intelligent robots and intelligent informats will bring about a form of …

A Novel Self-Organizing Emotional CMAC Network for Robotic Control*
J Zhang, Q Li, X Chang, F Chao, CM Lin… – … Joint Conference on …, 2020 – ieeexplore.ieee.org
Page 1. A Novel Self-Organizing Emotional CMAC Network for Robotic Control* Juncheng Zhang1, Quanfeng Li1, Xiang Chang2, Fei Chao1,2, Chih-Min Lin3, Longzhi Yang4, Tuân Tú Hu`ynh3, Ling Zheng1, Changle Zhou1, and Changjing Shang2 …

Language Acquisition with Echo State Networks: Towards Unsupervised Learning
TT Dinh, X Hinaut – … Joint IEEE 10th International Conference on …, 2020 – ieeexplore.ieee.org
Page 1. Language Acquisition with Echo State Networks: Towards Unsupervised Learning Thanh Trung Dinh 1. INRIA Bordeaux Sud-Ouest. 2. LaBRI, Bordeaux INP, CNRS, UMR 5800. 3. Institut des Maladies Neurodégénératives, Université de Bordeaux, CNRS, UMR 5293 …

Delphi Method in Emerging Technologies
JWZ Sossaa, JAM Henaob, J Manuel, M Hincapiec… – ijicc.net
Page 1. International Journal of Innovation, Creativity and Change. www.ijicc.net Volume 14, Issue 10, 2020 1210 Delphi Method in Emerging Technologies Jhon Wilder Zartha Sossaa, Jorge Alonso Manrique Henaob, Juan …

Idiot Engineering: Embracing Artificial Intelligence
A Boediman, R Ferdiana – 2020 – books.google.com
Page 1. IDIOT ENGINEERING EMBRACING ARTIFICIAL INTELLIGENCE IDIOT ENGINEERING EMBRACING ARTIFICIAL INTELLIGENCE RIDI FERDIANA ALFRED BOEDIMAN ALFRED BOEDIMAN RIDI FERDIANA Page 2 …

Unmanning: How Humans, Machines and Media Perform Drone Warfare
K Chandler – 2020 – books.google.com
Page 1. Unmanning Page 2. War Culture Edited by Daniel Leonard Bernardi Books in this series address the myriad ways in which warfare informs diverse cultural practices, as well as the way cultural practices–from cinema to social media–inform the practice of warfare …

Identifying future trends by podcast mining: an explorative approach for Web-based horizon scanning
J Welz, A Riemer, I Döbel, N Dakkak… – foresight, 2020 – emerald.com
Identifying future trends by podcast mining: an explorative approach for Web-based horizon scanning – Author: Juliane Welz, Annamaria Riemer, Inga Döbel, Nora Dakkak, Anna Sophie Von Schwartzenberg.

Identifying the Evolutionary Conditions for the Emergence of Alternative Reproductive Tactics in Simulated Robot Colonies
F Rahman, K Doya, A Mikheyev – Artifical Life and Robotics, 2020 – core.ac.uk
Page 1. Identifying the Evolutionary Conditions for the Emergence of Alternative Reproductive Tactics in Simulated Robot Colonies Author Farzana Rahman Degree Conferral Date 2020-06-30 Degree Doctor of Philosophy Degree Referral Number 38005??57? …

Brain-Inspired Intelligence and Visual Perception
W Wang, X Deng, L Ding, L Zhang – 2020 – Springer
Page 1. Brain-Inspired Intelligence and Visual Perception Wenfeng Wang Xiangyang Deng Liang Ding Limin Zhang The Brain and Machine Eyes Research on Intelligent Manufacturing Page 2. Research on Intelligent Manufacturing Editors-in-chief …

Machines That Think!: Big Ideas That Changed the World# 2
D Brown – 2020 – books.google.com
Page 1. Hºlz BIG IDEAS sº HE UUORLD Page 2. Page 3. Page 4. Page 5. BG|IDERS i??º?? (CH@NGED) i? HE UUORLD) AMULET-BOOKS – – – Page 6. The artwork in this book combines hand and digital drawing with digital color collage and printing …

WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning
F Zhang, Z Liu, F Xiong, J Su, H Qiao – Robotics and Autonomous Systems, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

BUT, IS IT WORKING? MENTOR INVOLVEMENT IN INFORMAL ELEMENTARY STEM PROGRAMS. A COLLECTIVE CASE STUDY
JD Leeker – 2020 – hammer.figshare.com
Page 1. BUT, IS IT WORKING? MENTOR INVOLVEMENT IN INFORMAL ELEMENTARY STEM PROGRAMS. A COLLECTIVE CASE STUDY by Jessica Rush Leeker A Dissertation Submitted to the Faculty of Purdue University …

Development of a Social Robot Toolkit for Co-Design and Prototyping
R Pawirotaroeno – 2020 – essay.utwente.nl
Page 1. Development of a Social Robot Toolkit for Co-Design and Prototyping Rezfan Pawirotaroeno July 2020 BSc Creative Technology Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) Supervisor: Dr. EC Dertien …

Ultrasonic Radar System Arduino for a Light Free Mapping of Indoor Environment
D Saicharan, B Ramya, G Jyotsna, P Sravani – academia.edu
… 15, no. 11, pp. 6460-6471, Nov. 2015. [21] J. Lim, S. Lee, G. Tewolde, J. Kwon, “Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot’s brain,” IEEE Int. Conf. on EIT, 2015,pp.621- 625 …

Extraction of nonlinear synergies for proportional and simultaneous estimation of finger kinematics
SK Dwivedi, J Ngeo, T Shibata – IEEE Transactions on …, 2020 – ieeexplore.ieee.org
Page 1. 2646 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 67, NO. 9, SEPTEMBER 2020 Extraction of Nonlinear Synergies for Proportional and Simultaneous Estimation of Finger Kinematics Sanjay Kumar …

A Fuzzy Deep Neural Network With Sparse Autoencoder for Emotional Intention Understanding in Human–Robot Interaction
L Chen, W Su, M Wu, W Pedrycz… – IEEE Transactions on …, 2020 – ieeexplore.ieee.org
Page 1. 1252 IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 28, NO. 7, JULY 2020 A Fuzzy Deep Neural Network With Sparse Autoencoder for Emotional Intention Understanding in Human–Robot Interaction Luefeng Chen …

2D-VSR-Sim: an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots
E Medvet, A Bartoli, A De Lorenzo, S Seriani – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. 2D-VSR-Sim: an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots Eric Medvet, Alberto Bartoli, Andrea De Lorenzo, Stefano Seriani Department of Engineering and Architecture, University of Trieste, Italy Abstract …

4 Cyborg Experiments and Hybrid Beings
K Warwick – Embodied Computing: Wearables, Implantables …, 2020 – books.google.com
Page 113. 4 Cyborg Experiments and Hybrid Beings Kevin Warwick Introduction A cyborg is an entity made up of a biological and technological integra- tion. Today the most common example of this is the merging together of …

Spatiotemporal patterns of sensorimotor fMRI activity influence hand motor recovery in subacute stroke: A longitudinal task-related fMRI study
FF Hannanu, I Goundous, O Detante, B Naegele… – Cortex, 2020 – Elsevier

Integration of Local Ultrawideband ToA/AOA Phase Difference of Arrival System and Inertial Navigation Systems
A Chugunov, E Zakharova, A Mitic… – 2020 27th Saint …, 2020 – ieeexplore.ieee.org
Page 1. Integration of Local Ultrawideband ToA/AOA Phase Difference of Arrival System and Inertial Navigation Systems Alexander Chugunov National Research University MPEI Moscow, Russia San4es_95@mail.ru Valery …

Comprehensive study of skid-steer wheeled mobile robots: development and challenges
R Khan, FM Malik, A Raza, N Mazhar – Industrial Robot: the …, 2020 – emerald.com
The purpose of this paper is to provide a comprehensive and unified presentation of recent developments in skid-steer wheeled mobile robots (SSWMR) with regard to its control, guidance and navigation for the researchers who wish to study in this field.,Most of the contemporary …

Prospects for Immortality: A Sensible Search for Life After Death
JR Adams – 2020 – books.google.com
Page 1. Prospects For Immortality A SENSIBLE SEARCH FOR LIFE AFTER DEATH J. ROBERT ADAMS Death, Value and Meaning Series Series Editor: John D. Morgan ROUTLEDGE Page 2. PROSPECTS FOR IMMORTALITY …

Digital Analogs: Bricks, Worlds, and Dimensions
JR Lee – Deconstructing LEGO, 2020 – Springer
This chapter draws upon theories of digitality to explore digital play—the self-referential bricolage of playing with assemblages of discrete elements—from material LEGO bricks to the virtual…

Geometrical Error Analysis and Correction in Robotic Grinding
M Sufian – 2020 – researchonline.ljmu.ac.uk
Page 1. GEOMETRICAL ERROR ANALYSIS AND CORRECTION IN ROBOTIC GRINDING A thesis submitted in partial fulfilment of the requirements of Liverpool John Moores University for the degree of Doctor of Philosophy Mohammed Towfick Sufian May 2020 Page 2 …

Computational Modeling of Prefrontal Cortex for Meta-Cognition of a Humanoid Robot
E Daglarli – IEEE Access, 2020 – ieeexplore.ieee.org
Page 1. Received May 5, 2020, accepted May 25, 2020, date of current version June 5, 2020. Digital Object Identifier 10.1109/ACCESS.2020.2998396 Computational Modeling of Prefrontal Cortex for Meta-Cognition of a Humanoid Robot …

Adaptive Learning Networks: Development and Application in the United States of Algorithms Related to GMDH
AN MUCCIARDI, FJ COOK… – Self-Organizing Methods …, 2020 – books.google.com
Page 47. 2 Adaptive Learning Networks: Development and Application in the United States of Algorithms Related to GMDH ROGER L. BARRON*/General Research Corporation, Subsidiary of Flow General, Inc., McLean, Virginia …

Digital Media Foundations: An Introduction for Artists and Designers
R Lewis, J Luciana – 2020 – books.google.com
Page 1. Digital Media Foundations This book is a creative and practical introduction to the field of digital media for future designers, artists, and media professionals. It addresses the evolution of the field, its connections with traditional …

Semantic and Pragmatic Aspects of Identity Markers in English
T Bojanc – 2020 – core.ac.uk
Page 1. UNIVERZA V LJUBLJANI FILOZOFSKA FAKULTETA ODDELEK ZA ANGLISTIKO IN AMERIKANISTIKO TATJANA BOJANC Semantic and Pragmatic Aspects of Identity Markers in English Semanti?ni in pragmati?ni aspekti identitetnih ozna?evalcev v angleš?ini …

A Neuroevolutionary Approach to Evolve a Flexible Neural Controller for a Morphology Changing Quadruped Robot
W Lee – 2020 – duo.uio.no
Page 1. A Neuroevolutionary Approach to Evolve a Flexible Neural Controller for a Morphology Changing Quadruped Robot Wonho Lee Thesis submitted for the degree of Master in Robotics and Intelligent Systems 60 credits Department of Informatics …

Aliens, Robots & Virtual Reality Idols in the Science Fiction of HP Lovecraft, Isaac Asimov and William Gibson
JL Steadman – 2020 – books.google.com
Page 1. What people are saying about Aliens, Robots and Virtual Reality Idols in the Science Fiction of HP Lovecraft, Isaac Asimov and William Gibson Steadman’s comprehensive guide wrestles with the concept of the ‘alien …

Always on, always on-screen: blockbuster event cinema and the mediation of post-2005 digital cultures and experience: a thesis presented in partial fulfilment of the …
WD Muirhead – 2020 – mro.massey.ac.nz
Page 1. Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. Page 2 …