Sim-to-Real Transfer of Soft Robotic Navigation Strategies That Learns From the Virtual Eye-in-Hand Vision-Reference-Cited by-同舟云学术

Sim-to-Real Transfer of Soft Robotic Navigation Strategies That Learns From the Virtual Eye-in-Hand Vision

Author:

Lai Jiewen¹^ORCID,Ren Tian-Ao²^ORCID,Yue Wenchao¹^ORCID,Su Shijian¹^ORCID,Chan Jason Y. K.³^ORCID,Ren Hongliang¹^ORCID

Affiliation:

1. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China

2. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China

3. Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong, SAR, China

Funder

Hong Kong Research Grants Council (RGC) Collaborative Research Fund

Hong Kong Research Grants Council (RGC) Research Impact Fund

Dr. Barbara Kwok Young Postdoctoral Researcher Travel Grants Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference48 articles.

Cited by 5 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. Navigation of Tendon-driven Flexible Robotic Endoscope through Deep Reinforcement Learning;2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO);2024-05-20

2. Inconstant curvature kinematics of parallel continuum robot without static model;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13