Yunfei Dong

About

Yunfei Dong is a robotics researcher whose work sits at the intersection of force control, human-robot collaboration, and intelligent manufacturing automation. His research focuses primarily on compliant robot control, contact force detection, collision identification, and robotic assembly — areas critical to the next generation of safe, adaptive industrial robots. Dong's most influential contribution, "Collision Detection and Identification for Robot Manipulators Based on Extended State Observer" (2018, 122 citations), established robust methods for making robots safer during unexpected physical interactions. Complementing this, his work on learning-based variable compliance control for robotic assembly (73 citations) tackled the notoriously difficult peg-in-hole problem, advancing automation in precision manufacturing. His research on joint torque servo systems and active disturbance rejection has provided practical frameworks for achieving accurate, disturbance-resilient force control in collaborative robots — a persistent industrial challenge. Dong has also made meaningful contributions to robotic polishing, payload identification, and direct teaching interfaces, demonstrating a breadth that bridges theoretical control design and real-world application. With over 350 cumulative citations across his key publications, his work has meaningfully shaped how modern collaborative robots perceive, respond to, and safely manage physical contact with their environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Collision detection and identification for robot manipulators based on extended state observer

   122 citations · 2018
2. 2
   Learning-Based Variable Compliance Control for Robotic Assembly

   73 citations · 2018
3. 3
   Contact force detection and control for robotic polishing based on joint torque sensors

   59 citations · 2020
4. 4
   An efficient robot payload identification method for industrial application

   31 citations · 2018
5. 5
   Design of Direct Teaching Behavior of Collaborative Robot Based on Force Interaction

   29 citations · 2019
6. 6
   Compliance Control for Robot Manipulation in Contact with a Varied Environment Based on a New Joint Torque Controller

   27 citations · 2020
7. 7
   The method of aiming towards the normal direction for robotic drilling

   22 citations · 2017
8. 8
   Impedance control of collaborative robots based on joint torque servo with active disturbance rejection

   13 citations · 2018
9. 9
   Disturbance rejection sliding mode control for robots and learning design

   10 citations · 2021
10. 10
    Joint Torque Control of a Collaborative Robot Based on Active Disturbance Rejection With the Consideration of Actuator Delay

    5 citations · 2017

Key Collaborators

Contact & Links