Data-Efficient Reinforcement Learning Control of Robotic Lower-Limb Prosthesis With Human in the Loop

abstract: Robotic lower limb prostheses provide new opportunities to help transfemoral amputees regain mobility. However, their application is impeded by that the impedance control parameters need to be tuned and optimized manually by prosthetists for each individual user in different task environme...

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Bibliographic Details
Other Authors: Gao, Xiang (Author)
Format: Doctoral Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.56958