This book introduces the theories and methods of Nature-Inspired Robotics in Artificial Intelligence (AI). 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.
In a world where robotics, AI, and automation are advancing rapidly, it is essential to distinguish between these technologies. Robots differ from machines by incorporating automated functionalities and intelligence to carry out tasks. Furthermore, AI complements robotics by enabling machines to learn from experiences, adapt, and make decisions. Recognizing these distinctions enables researchers to harness the full potential of nature-inspired robotics while capitalizing on the unique advantages of AI. Finally, this chapter introduces the concept of Arduino, an open-source electronics platform that facilitates the creation of interactive robotic projects. Arduino serves as a versatile tool for prototyping and experimenting with nature-inspired robotics, enabling rapid innovation and iterative development. Understanding the capabilities and requirements of Arduino empowers researchers and hobbyists to explore and implement nature-inspired robotic designs effectively. Arduino is an open-source electronics platform based on easy-to-use hardware and software. It is designed for both beginners and professionals interested in creating interactive and programmable electronic projects. Arduino is known for its versatility, affordability, and a large and active community of users and developers.
Bio-inspired robotics, also known as biologically inspired robotics or biomimetic robotics, is a multidisciplinary field that draws inspiration from biological systems and processes to design and develop robots. The aim of bio-?inspired robotics is to create robots that can mimic the behavior, structure, and capabilities of living organisms to solve complex problems and adapt to diverse environments. This field is driven by the idea that nature has already provided elegant and efficient solutions to many challenges, and by emulating these solutions, robots can become more versatile, adaptive, and efficient in various applications.
· 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.