Tactile sensing, skill learning and robotic dexterous manipulation / edited by Qiang Li [and four others].

Format:

Book

Contributor:

Li, Qiang, editor.

Language:

English

Subjects (All):

Robot hands.

Robotics.

Tactile sensors.

Physical Description:

1 online resource (374 pages)

Place of Publication:

London : Academic Press, [2022]

Summary:

Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects' property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning.

Contents:

Part I: Tactile sensing and perception. 1. GelTip tactile sensors for dexterous manipulation in clutter / Daniel Fernandes Gomes Shan Luo

2. Robotic perception of object properties using tactile sensing/ Jiaqi Jiang Shan Luo

3. Multimodal perception for dexterous manipulation / Guanqun Cao Shan Luo

4. Capacitive Material Detection with Machine Learning for Robotic Grasping applications / Hannes Kisner Yitao Ding Ulrike Thomas

Part II: Skill representation and learning. 5. Admittance control: learning from humans through collaborating with humans / Ning Wang Chenguang Yang

6. Sensorimotor Control for Dexterous Grasping - Inspiration from human hand / Ke Li

7. From human to robot grasping: force and kinematic synergies / Abdeldjallil Naceri Nicolò Boccardo Lorenzo Lombardi Andrea Marinelli Diego Hidalgo Sami Haddadin Matteo Laffranchi Lorenzo De Michieli

8. Learning form-closure grasping with attractive region in environment / Rui Li Zhenshan Bing Qi Qi

9. Learning hierarchical control for robust in-hand manipulation / Tingguang Li

10. Learning Industrial Assembly by Guided-DDPG / Yongxiang Fan

Part III: Robotic hand adaptive control. 11. Clinical evaluation of Hannes: measuring the usability of a novel poly-articulated prosthetic hand / Marianna Semprini Nicolò Boccardo Andrea Lince Simone Traverso Lorenzo Lombardi Antonio Succi Michele Canepa Valentina Squeri Jody A. Saglia Paolo Ariano Luigi Reale Pericle Rando Simona Castellano Emanuele Gruppioni Mattero Laffranchi Lorenzo De Michieli

12. A hand-arm teleoprtation system for robotic dexterous manipulation / Shuang Li Qiang Li Jianwei Zhang

13. Neural Network-enhanced Optimal motion planning for robot manipulation under remote center of motion / Hang Su Chenguang Yang

14. Towards Dexterous In-Hand Manipulation of Unknown Objects / Qiang Li Robert Maschke Helge Ritter

15. Robust dexterous manipulation and finger gaiting under various uncertainties / Yongxiang Fan

A. Key components of dexterous manipulation: tactile sensing, skill learning, and adaptive control / Qiang Li Shan Luo Zhaopeng Chen Chenguang Yang Jianwei Zhang.

Notes:

Description based on: online resource; title from pdf title page (viewed on April 10, 2023).

Includes bibliographical references and index.

Other Format:

Print version: Li, Qiang Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

ISBN:

9780323904179

0323904173

OCLC:

1309065426