
Human Inspired Dexterity in Robotic Manipulation
Academic Press
Published on 29. June 2018
Book
Paperback/Softback
218 pages
978-0-12-813385-9 (ISBN)
Description
Human Inspired Dexterity in Robotic Manipulation provides up-to-date research and information on how to imitate humans and realize robotic manipulation. Approaches from both software and hardware viewpoints are shown, with sections discussing, and highlighting, case studies that demonstrate how human manipulation techniques or skills can be transferred to robotic manipulation. From the hardware viewpoint, the book discusses important human hand structures that are key for robotic hand design and how they should be embedded for dexterous manipulation.
This book is ideal for the research communities in robotics, mechatronics and automation.
This book is ideal for the research communities in robotics, mechatronics and automation.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
[1] Robot engineers who are interested at developing robots in human environment.
[2] Professors and Post doctors who would like to start researches about robotic manipulation imitating human manipulation.
[3] Undergraduate and graduate students who are interested at object manipulation by robots as well as human.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
320 gr
ISBN-13
978-0-12-813385-9 (9780128133859)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Tetsuyou Watanabe | Kensuke Harada | Mitsunori Tada
Human Inspired Dexterity in Robotic Manipulation
E-Book
06/2018
Academic Press
€138.00
Available for download
Persons
Dr. Watanabe received his Doctor of Philosophy in Engineering in 2003 in the Kyoto University. His research interest include Intelligent mechanics/Mechanical systems with emphasis in Robotics, Robotic hands, Human assist, Medical Engineering. Kensuke Harada received BS, MS and Doctor degree on Mechanical Engineering from Kyoto University on 1992, 1994 and 1997, respectively. From 1997 to 2002, he worked as a research associate at Hiroshima university. On 2002, he joined National Institute of Advanced Industrial Science and Technology. For one year from 2005 to 2006, we was a visiting scholar at Computer Science Department of Stanford University. From 2013 to 2016, he was a leader of Vision and Manipulation Research Group of Intelligent Systems Research Institute. From 2016, he has been a Professor of Graduate School of Engineering Science, Osaka University. His research interest includes mechanics, control and motion planning of robotic mechanisms such as robot manipulator, robotic hand and biped humanoid robots. Dr. Tada received his Ph.D from Nara Institute of Science and Technology in 2002. In April 2002, he joined Digital Human Laboratory, National Institute of Advanced Industrial Science and Technology, JST CREST Researcher (PD). His researches topics include Fingertip Deformation Measurement for Studies of Human Touch Perception; Development of Optical Force Sensors for Force Sensing in MRI Environments; Incipient Slip Measurement for Studies of Human Grasping Skills.
Editor
Associate Professor, Faculty of Mechanical Engineering, Institute of Science and Engineering, Kanazawa University
Professor, Graduated School of Engineering Science, Osaka University
Group Leader, Digital Human Research Group, Human Informatics Research Institute, AIST
Content
1. Underactuated Hand Exoskeleton-simple, compact and low-cost design to support grasping motion in ADL
2. Human Motor Performance in Robot-Assisted Surgery
3. Approaching human hand dexterity through highly biomimetic design
4. A neural basis of hand muscle synergy
5. Dynamic Manipulation based on thumb opposability
6. Robust grasping and manipulation against uncertainty of sensing information: One of applications of thumb opposability based controller
7. Planning Dexterous Dual-arm M
2. Human Motor Performance in Robot-Assisted Surgery
3. Approaching human hand dexterity through highly biomimetic design
4. A neural basis of hand muscle synergy
5. Dynamic Manipulation based on thumb opposability
6. Robust grasping and manipulation against uncertainty of sensing information: One of applications of thumb opposability based controller
7. Planning Dexterous Dual-arm M