Bingsong Yang

About

Bingsong Yang is a robotics researcher whose work focuses on the design, modeling, and control of specialized robotic systems for complex environments. His key research areas include dual-arm robot coordination, mobile manipulation, and biomimetic robotics, particularly snake-like and amphibious robots. Yang’s major contributions include developing compliance control methods for dual-arm robots to enable coordinated payload manipulation, as demonstrated in his most-cited work (46 citations), and designing a small wheel-legged mobile robot with two robotic arms for versatile locomotion (13 citations). He has also advanced the field of biomimetic robotics through the design and simulation of a modular amphibious snake-like robot capable of navigating confined underwater spaces (12 citations), with applications in marine medical rescue. Additionally, Yang has explored reinforcement learning-based path planning for mobile robots. His work on snake-like robots for complex marine rescue scenarios highlights his commitment to applying robotics in challenging, real-world settings. With a portfolio spanning from foundational control strategies to innovative robot designs, Yang’s research continues to influence the development of adaptable, multi-functional robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Coordinated compliance control of dual-arm robot for payload manipulation: Master-slave and shared force control

   46 citations · 2016
2. 2
   The design and experiments of a small wheel-legged mobile robot system with two robotic arms

   13 citations · 2016
3. 3
   A modular amphibious snake-like robot: Design, modeling and simulation

   12 citations · 2015
4. 4
   [Retracted] Reinforcement Learning‐Based Path Planning Algorithm for Mobile Robots

   11 citations · 2022
5. 5
   Biomimetic Snake Robot in Complex Marine Medical Rescue Application

   3 citations · 2018

Key Collaborators

Contact & Links