Peiyang Jiang — accepted AI-conference papers

2024

A Digital Twin-Driven Immersive Teleoperation Framework for Robot-Assisted Microsurgery

IROS 2024

This paper presents a novel digital twin (DT)-driven framework for immersive teleoperation in the domain of robot-assisted microsurgery (RAMS). The proposed method leverages the power of DT with mixed reality (MR) technology to create an interactive, immersive teleoperation environment for surgeons

Cited by 6 Source ↗Scholar ↗

2024

Adaptive Motion Scaling for Robot-Assisted Microsurgery Based on Hybrid Offline Reinforcement Learning and Damping Control

Peiyang Jiang, Wei Li, Yifan Li, Dandan Zhang

ICRA 2024poster

Motion scaling is essential to empower users to conduct precise manipulation during teleoperation for robot-assisted microsurgery (RAMS). A constant, small motion scaling ratio can enhance the precision of teleoperation but hinder the operator from quickly reaching distant targets. The concept of se…

Cited by 1 Source ↗Scholar ↗