Deep Reinforcement Learning-Based Control Framework for Multilateral Telesurgery
Author:
Affiliation:
1. Department of Bioengineering, Imperial College London, London, U.K.
2. Department of Computing, Imperial College London, London, U.K.
3. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.
Funder
European Commission
U.K. Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/8253409/9777833/09763853.pdf?arnumber=9763853
Reference20 articles.
1. Adaptive Fuzzy Backstepping Control for Stable Nonlinear Bilateral Teleoperation Manipulators With Enhanced Transparency Performance
2. Transparency optimized interaction in telesurgery devices via time-delayed communications
3. Short Time Delay Does Not Hinder Haptic Communication Benefits
4. Adaptive Fault-Tolerant Prescribed-Time Control for Teleoperation Systems With Position Error Constraints
5. Event-Triggered Prescribed-Time Fuzzy Control for Space Teleoperation Systems Subject to Multiple Constraints and Uncertainties
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