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Human Inspired Dexterity in Robotic Manipulation [Paperback]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  0128133856
  • ISBN-10:  0128133856
  • ISBN-13:  9780128133859
  • ISBN-13:  9780128133859
  • Publisher:  Academic Press
  • Publisher:  Academic Press
  • Pages:  218
  • Pages:  218
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-2018
  • Pub Date:  01-Jun-2018
  • SKU:  0128133856-11-MPOD
  • SKU:  0128133856-11-MPOD
  • Item ID: 101336305
  • Seller: ShopSpell
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  • Delivery by: Dec 26 to Dec 28
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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.



  • Investigates current research direction in robotic manipulation
  • Shows how human manipulation techniques and skills can be transferred to robotic manipulation
  • Identifies key human hand structures for robotic hand design and how they should be embedded in the robotic hand for dexterous manipulation
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

Teaches the latest robotic manipulation techniques for imitating human movements that are further demonstrated through example case studies

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, Rol#”
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