MPC policy learning using DNN for human following control without collision

Author:

Hirose N.1,Tajima R.1,Sukigara K.1

Affiliation:

1. TOYOTA Central R & D Labs., Inc, , Nagakute, Japan.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Dual Closed-Loop Control Strategy for Human-Following Robots Respecting Social Space;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Safe and Robust Human Following for Mobile Robots Based on Self-Avoidance MPC in Crowded Corridor Scenarios;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

3. Human-Robot Interaction Dynamics-Based Impedance Control Strategy for Enhancing Social Acceptance of Human-Following Robot;2023 China Automation Congress (CAC);2023-11-17

4. Autonomous Docking Method via Non-linear Model Predictive Control;2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET);2023-11-15

5. Deep learning-based model predictive control for real-time supply chain optimization;Journal of Process Control;2023-09

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