This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence. Software and hardware technologies, alongside theories and methods, illustrate the application of bio-inspired artificial intelligence. It includes discussions on topics such as Robot Control Manipulators, Geometric Transformation, Robotic Drive Systems and Nature Inspired Robotic Neural System. Elaborating upon recent progress made in five distinct configurations of nature-inspired computing, it explores the potential applications of this technology in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems.
· Discusses advances in cutting-edge technology in brain-inspired computing, perception technologies and aspects of neuromorphic electronics
· Offers a thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms
· Provides comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviours
· Includes cognitive behaviour of Inspired Robotics and cognitive technologies with applications in Artificial Intelligence
· Contains practical discussions of neuromorphic devices based on chalcogenide and organic materials.
This text acts as a reference book for students, scholars, and industry professionals.
This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence. Software and hardware technologies, alongside theories and methods, illustrate the application of bio-inspired artificial intelligence.
1. INTRODUCTION OF ROBOTICS
2. ROBOT MANIPULATORS
3. CONTROL MANIPULATORS
4. GEOMETRIC TRANSFORMATIONS 5.ROBOTIC DRIVE SYSTEMS 6.NATURE INSPIRED ROBOTIC NEURAL SYSTEM
7. NATURE INSPIRED ROBOTIC IMMUNE SYSTEM
8. NATURE INSPIRED ROBOTIC BEHAVIOURAL SYSTEMS 9.COGNITIVE BEHAVIOUR OF INSPIRED ROBOTICS
10. PERCEPTION TECHNIQUES IN NATURE INSPIRED ROBOTICS
11. NATURE INSPIRED ROBOTICS AS AN EMERGING TECHNOLOGY
12. PROGRAMMING & SIMULATION
13. APPLICATION OF ROBOTICS
Prof. (Dr.) Kuldeep Singh Kaswan is presently working in School of Computer Science & Engineering, Galgotias University, Uttar Pradesh, India. His contributions focus on BCI, Cyborgs, and Data Science. His academic degrees and thirteen years of experience working with global Universities like Amity University, Noida, India; Gautam Buddha University, Greater Noida; and PDM University, Bahadurgarh, India, has made him more receptive and prominent in his domain. He received a doctorate in Computer Science from Banasthali Vidyapith, Rajasthan. He received a Doctor of Engineering (D. Engg.) from Dana Brain Health Institute, Iran. He has supervised many UG and PG projects by engineering students. He has supervised three Ph.D. graduates and is currently supervising four more Ph.D. students. He is also a member of IEEE, the Computer Science Teacher Association (CSTA), New York, USA, the International Association of Engineers (IAENG), Hong Kong, and IACSIT, USA. He has published a number of books and book chapters at National/International level. He has also a number of publications in International/National Journal and conferences. He is an editor/author, and review editor of Journals and Books with IEEE, Wiley, Springer, IGI, River, etc.
Orcid Id: https://orcid.org/0000-0003-0876-0330
Dr. Jagjit Singh Dhatterwal is presently working as an Associate Professor with the Department of Artificial Intelligence & Data Science Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. He has supervised many UG and PG projects of engineering students. He is presently supervising one Ph. D student. He is also a Member of Computer Science Teacher Association (CSTA), New York, USA, International Association of Engineers (IAENG), Hong Kong, IACSIT (International Association of Computer Science and Information Technology, USA, Professional Member of the Association of Computing Machinery, USA, IEEE, and a Life Member of the Computer Society of India. His areas of interest include Artificial Intelligence, BCI, Cyborg and Multi-Agents Technology. He has number of publications as Books/Book chapters/Journal papers and conference papers.
ORCID ID: https://orcid.org/0000-0003-2314-2354
Dr. Reenu Batra is presently working with Global Institute of Technology & Management, Gurugram, India. Her expertise includes Machine Learning, Deep Learning and Cloud Computing. Her Academic degrees and thirteen years of experience working with global Universities like PDM University, Bahadurgarh, and SGT University, Gurugram has made her more receptive and prominent in his domain. She has just submitted her Ph.D. thesis in Computer Science from SGT University, Gurugram. She has obtained a masters degree in computer science and engineering from MDU Rohtak (Haryana). She has supervised many UG and PG projects of engineering students. She has a number of publications in International/National Journal and Conferences. She has reviewed various research papers of IEEE Conferences.
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