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Neural Bio Inspired Processing And Robot Control
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Book Synopsis Neural & Bio-inspired Processing and Robot Control by : Huanqing Wang
Download or read book Neural & Bio-inspired Processing and Robot Control written by Huanqing Wang and published by Frontiers Media SA. This book was released on 2019-01-24 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic presents bio-inspired and neurological insights for the development of intelligent robotic control algorithms. This aims to bridge the inter-disciplinary gaps between neuroscience and robotics to accelerate the pace of research and development.
Book Synopsis Neural & Bio-inspired Processing and Robot Control by : Shuai Li
Download or read book Neural & Bio-inspired Processing and Robot Control written by Shuai Li and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Nonlinear Circuits and Systems for Neuro-inspired Robot Control by : Luca Patanè
Download or read book Nonlinear Circuits and Systems for Neuro-inspired Robot Control written by Luca Patanè and published by Springer. This book was released on 2018-03-20 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book guides readers along a path that proceeds from neurobiology to nonlinear-dynamical circuits, to nonlinear neuro-controllers and to bio-inspired robots. It provides a concise exploration of the essence of neural processing in simple animal brains and its adaptation and extrapolation to modeling, implementation, and realization of the analogous emergent features in artificial but bio-inspired robots: an emerging research field. The book starts with a short presentation of the main areas of the Drosophila brain. These are modeled as nonlinear dynamical structures, which are then used to showcase key features like locomotion, motor learning, memory formation, and exploitation. It also discusses additional complex behaviors, such as sequence learning and perception, which have recently been discovered to exist in insects. Much of the material presented has been tested in biorobotics classes for the Master’s degree in Automation Engineering and Control of Complex Systems at the University of Catania. Reporting on the work fostered by several national and international research projects, the book offers researchers novel ideas on how neuro-inspired dynamics can be used in developing the autonomous machines of the future.
Book Synopsis Bio-inspired Emergent Control of Locomotion Systems by : Mattia Frasca
Download or read book Bio-inspired Emergent Control of Locomotion Systems written by Mattia Frasca and published by World Scientific. This book was released on 2004 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with locomotion control of biologically inspired robots realized through an analog circuital paradigm as cellular nonlinear networks. It presents a general methodology for the control of bio-inspired robots and several case studies, as well as describes a new approach to motion control and the related circuit architecture.
Book Synopsis Bio-Inspired Robotics by : Toshio Fukuda
Download or read book Bio-Inspired Robotics written by Toshio Fukuda and published by MDPI. This book was released on 2018-11-07 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Bio-Inspired Robotics" that was published in Applied Sciences
Book Synopsis Bio-Inspired Emergent Control of Locomotion Systems by :
Download or read book Bio-Inspired Emergent Control of Locomotion Systems written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach by : Ameer Hamza Khan
Download or read book Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach written by Ameer Hamza Khan and published by Springer Nature. This book was released on 2020-10-29 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.
Book Synopsis Bio-Inspired Self-Organizing Robotic Systems by : Yan Meng
Download or read book Bio-Inspired Self-Organizing Robotic Systems written by Yan Meng and published by Springer Science & Business Media. This book was released on 2011-05-08 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.
Book Synopsis Bioinspired Design and Control of Robots with Intrinsic Compliance by : Yongping Pan
Download or read book Bioinspired Design and Control of Robots with Intrinsic Compliance written by Yongping Pan and published by Frontiers Media SA. This book was released on 2020-12-04 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Biologically Inspired Robotics by : Yunhui Liu
Download or read book Biologically Inspired Robotics written by Yunhui Liu and published by CRC Press. This book was released on 2017-12-19 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotic engineering inspired by biology—biomimetics—has many potential applications: robot snakes can be used for rescue operations in disasters, snake-like endoscopes can be used in medical diagnosis, and artificial muscles can replace damaged muscles to recover the motor functions of human limbs. Conversely, the application of robotics technology to our understanding of biological systems and behaviors—biorobotic modeling and analysis—provides unique research opportunities: robotic manipulation technology with optical tweezers can be used to study the cell mechanics of human red blood cells, a surface electromyography sensing system can help us identify the relation between muscle forces and hand movements, and mathematical models of brain circuitry may help us understand how the cerebellum achieves movement control. Biologically Inspired Robotics contains cutting-edge material—considerably expanded and with additional analysis—from the 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). These 16 chapters cover both biomimetics and biorobotic modeling/analysis, taking readers through an exploration of biologically inspired robot design and control, micro/nano bio-robotic systems, biological measurement and actuation, and applications of robotics technology to biological problems. Contributors examine a wide range of topics, including: A method for controlling the motion of a robotic snake The design of a bionic fitness cycle inspired by the jaguar The use of autonomous robotic fish to detect pollution A noninvasive brain-activity scanning method using a hybrid sensor A rehabilitation system for recovering motor function in human hands after injury Human-like robotic eye and head movements in human–machine interactions A state-of-the-art resource for graduate students and researchers.
Book Synopsis Advanced Planning, Control, and Signal Processing Methods and Applications in Robotic Systems by : Zhan Li
Download or read book Advanced Planning, Control, and Signal Processing Methods and Applications in Robotic Systems written by Zhan Li and published by Frontiers Media SA. This book was released on 2022-02-22 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Human Modeling for Bio-Inspired Robotics by : Jun Ueda
Download or read book Human Modeling for Bio-Inspired Robotics written by Jun Ueda and published by Academic Press. This book was released on 2016-09-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Modelling for Bio-inspired Robotics: Mechanical Engineering in Assistive Technologies presents the most cutting-edge research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications. Intended to provide researchers both in academia and industry with key content on which to base their developments, this book is organized and written by senior experts in their fields. Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies offers a system-level investigation into human mechanisms that inspire the development of assistive technologies and humanoid robotics, including topics in modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation and integration. Each chapter is written by a subject expert and discusses its background, research challenges, key outcomes, application, and future trends. This book will be especially useful for academic and industry researchers in this exciting field, as well as graduate-level students to bring them up to speed with the latest technology in mechanical design and control aspects of the area. Previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing is assumed. Presents the most recent research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications Covers background information and fundamental concepts of human modelling Includes modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation, integration, and safety issues Assumes previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing
Book Synopsis Biology-Inspired Engineering and Engineering-Inspired Biology by : Jan-Matthias Braun
Download or read book Biology-Inspired Engineering and Engineering-Inspired Biology written by Jan-Matthias Braun and published by Frontiers Media SA. This book was released on 2021-01-04 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bio-Inspired Self-Organizing Robotic Systems by : Yan Meng
Download or read book Bio-Inspired Self-Organizing Robotic Systems written by Yan Meng and published by Springer. This book was released on 2011-05-11 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.
Book Synopsis Bio-Inspired Artificial Intelligence by : Dario Floreano
Download or read book Bio-Inspired Artificial Intelligence written by Dario Floreano and published by MIT Press. This book was released on 2023-04-04 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.
Book Synopsis Handbook of Bioinspired Algorithms and Applications by : Stephan Olariu
Download or read book Handbook of Bioinspired Algorithms and Applications written by Stephan Olariu and published by CRC Press. This book was released on 2005-09-29 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the
Book Synopsis Bio-inspired Flying Robots by : Jean-Christophe Zufferey
Download or read book Bio-inspired Flying Robots written by Jean-Christophe Zufferey and published by CRC Press. This book was released on 2008-04-24 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates how bio-inspiration can lead to fully autonomous flying robots without relying on external aids. Most existing aerial robots fly in open skies, far from obstacles, and rely on external beacons, mainly GPS, to localise and navigate. However, these robots are not able to fly at low altitude or in confined environments, and yet this poses absolutely no difficulty to insects. Indeed, flying insects display efficient flight control capabilities in complex environments despite their limited weight and relatively tiny brain size. From sensor suite to control strategies, the literature on flying insects is reviewed from an engineering perspective in order to extract useful principles that are then applied to the synthesis of artificial indoor flyers. Artificial evolution is also utilised to search for alternative control systems and behaviors that match the constraints of small flying robots. Specifically, the basic sensory modalities of insects, vision, gyroscopes and airflow sense, are applied to develop navigation controllers for indoor flying robots. These robots are capable of mapping sensor information onto actuator commands in real time to maintain altitude, stabilize the course and avoid obstacles. The most prominent result of this novel approach is a 10-gram microflyer capable of fully autonomous operation in an office-sized room using fly-inspired vision, inertial and airspeed sensors. This book is intended for all those interested in autonomous robotics, in academia and industry.
