Tactile Robotics

· Academic Press
Ebook
200
Pages
Eligible

About this ebook

Tactile Robotics structures and unifies the information processing of tactile data—not only for extracting object property but also for controller computation. This book systematically introduces tactile sensors, perception, and control, providing readers with no prior background with a better sense and knowledge of robotics and machine learning and helping users understand the concept of tactile robots and their various applications for use in real-world scenarios. - Covers basic concepts in robotics and machine learning - Includes essential knowledge for robotic manipulation tasks when tactile information is required - Employs numerous applications to illustrate how tactile robotics can be used in real robotic manipulation tasks - Defines how to structure the knowledge that can be extracted from raw tactile data
Tactile Robotics structures and unifies the information processing of tactile data—not only for extracting object property but also for controller computation. This book systematically introduces tactile sensors, perception, and control, providing readers with no prior background with a better se...

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About the author

Dr. Qiang Li is a full professor at Shenzhen Technology University, China. He received his PhD in Pattern Recognition and Intelligence Systems from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), in 2010. He was awarded a stipend from the Honda Research Institute and conducted his postdoctoral research at the CoR-Lab of Bielefeld University from 2009 to 2012. From 2020 to 2023, he served as Principal Investigator at the University of Hamburg and the University of Bielefeld. Dr. Li's research interests include tactile servoing and recognition, sensory-based robotic dexterous manipulation, and robotic calibration and dynamic control. He has co-authored over 70 peer reviewed publications in the fields of robotic control, grasping, and manipulation, as well as one edited book. He serves as an Associate Editor for the International Journal of Humanoid Robotics (Robotics) and Complex & Intelligent Systems (AI), and as an Associate Editor for top-tier robotics conferences, including ICRA, IROS, and Humanoids.
Dr. Qiang Li is a full professor at Shenzhen Technology University, China. He received his PhD in Pattern Recognition and Intelligence Systems from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), in 2010. He was awarded a stipend from the Honda Research Institute an...

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