Haptic Perception, Decision-making, and Learning for Manipulation with Artificial Hands

Haptic Perception, Decision-making, and Learning for Manipulation with Artificial Hands

abstract: Robotic systems are outmatched by the abilities of the human hand to perceive and manipulate the world. Human hands are able to physically interact with the world to perceive, learn, and act to accomplish tasks. Limitations of robotic systems to interact with and manipulate the world dimin...

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Bibliographic Details
Other Authors: Hellman, Randall Blake (Author)
Format: Doctoral Thesis
Language:English
Published: 2016
Subjects:
Engineering
Robotics
Decision Making
Functional contour following
Haptic perception
Reinforcement Learning
Robot hands
Robot touch perception
Online Access:http://hdl.handle.net/2286/R.I.40238

Internet

http://hdl.handle.net/2286/R.I.40238

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