Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis

Volume: 50, Issue: 6, Pages: 2346 - 2356
Published: Jun 1, 2020
Abstract
Robotic prostheses deliver greater function than passive prostheses, but we face the challenge of tuning a large number of control parameters in order to personalize the device for individual amputee users. This problem is not easily solved by traditional control designs or the latest robotic technology. Reinforcement learning (RL) is naturally appealing. The recent, unprecedented success of AlphaZero demonstrated RL as a feasible, large-scale...
Paper Details
Title
Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis
Published Date
Jun 1, 2020
Volume
50
Issue
6
Pages
2346 - 2356
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.