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Introduction to Tactile Intelligence emphasizes the growing importance of tactile intelligence, essential for robots to interact effectively with the physical world. This book explores the science of tactile intelligence, equipping robots and intelligent machines with the ability to touch and feel the world, recognize textures, develop fine motor skills, and even convey emotions through physical contact. It anticipates a future where robots seamlessly integrate with the physical world through tactile intelligence and offers solutions for its development and application in various domains. This book is a good resource for students in robotics to experienced professionals, providing a solid foundation in tactile sensing, tactile-based control, and learning, as well as the integration of tactile data into broader robotic systems. This book provides valuable insights and practical guidance, and it serves as a reference for researchers at all stages of their careers in the dynamic field of tactile development and applications.
List of contents
1. Introduction on tactile intelligence
2. Human tactile intelligence
3. Tactile sensors
4. Interpretation of data collected from tactile sensors
5. Simulation of tactile sensors and Sim2Real learning
6. Tactile based skills and control
7. Integration of tactile intelligence with other artificial intelligence
8. Conclusions
About the author
Dr Shan Luo is an Associate Professor in the Department of Engineering at King's College London, where he leads the Robot Perception Lab (RPL). Shan received a Ph.D. from King's College London for his work on robotic perception through tactile images. In 2016, he visited the MIT Computer and Artificial Intelligence Laboratory (CSAIL). He worked as a Postdoctoral Research Fellow at the University of Leeds and Harvard University, followed by a Lecturer (Assistant Professor) position at the University of Liverpool from 2018 to 2021. His current research focuses on developing intelligent robots capable of safe and agile interaction with the physical environment. His primary interests lie in visuo-tactile sensors, machine learning models for visual and tactile representation learning, and robotic manipulation of challenging objects like deformable and transparent items. He received the EPSRC New Investigator Award in 2021 and a UK-RAS Early Career Award in 2023.
