Yunpeng Yang

About

Yunpeng Yang is a leading researcher in medical robotics and intelligent control systems, with a focus on advancing autonomous navigation and precision-guided interventions. His work bridges reinforcement learning and deep learning to address complex path planning challenges, as demonstrated in his highly cited 2021 paper on TPR-DDPG (14 citations), which introduces a novel algorithm that enhances mobile robot autonomy through improved generality and self-learning capabilities. In the medical domain, Yang has made significant contributions to prostate brachytherapy, developing an ultrasound image-guided robotic system that integrates 2D US probes with deformable image registration for precise needle navigation (7 citations). His multi-DOF robot system for brachytherapy (4 citations) further showcases his expertise in combining imaging and robotics for minimally invasive procedures. With a growing citation impact, Yang’s work is shaping the future of intelligent robotics in both industrial and clinical settings, offering practical solutions for real-world automation and surgical precision.

Research Focus

Key Achievements

Top Papers

1. 1
   Path Planning for Mobile Robots Based on TPR-DDPG

   14 citations · 2021
2. 2
   An ultrasound image navigation robotic prostate brachytherapy system based on US to MRI deformable image registration method.

   7 citations · 2017
3. 3
   Design and Experiments of Ultrasound Image-Guided Multi-DOF Robot System for Brachytherapy

   4 citations · 2017

Key Collaborators

Contact & Links