Runming Zhang

About

Runming Zhang is a robotics researcher specializing in bipedal locomotion, humanoid navigation, and human-robot interaction. His work focuses on enabling humanoid robots to walk robustly, navigate autonomously, and operate intuitively in dynamic, real-world environments. Zhang’s most cited contributions include developing a search strategy for autonomous biped navigation that mimics human observation, and a novel method integrating center of mass stabilization control to optimize stride length and stepping duration under perturbations. He has also advanced full-body teleoperation systems for humanoids, allowing intuitive control of high-degree-of-freedom robots in hazardous settings. His research on swing-foot trajectory generation and overload protection mechanisms—inspired by biological joint dislocation and reduction—further demonstrates his commitment to creating resilient, human-like robotic systems. With over 50 citations across his top papers, Zhang’s work is foundational for the next generation of agile, safe, and interactive humanoid robots.

Research Focus

Key Achievements

Top Papers

1. 1
   Autonomous Navigation with Human Observation for a Biped Robot

   9 citations · 2021
2. 2
   Stride Length and Stepping Duration Adjustments Based on Center of Mass Stabilization Control

   9 citations · 2022
3. 3
   Global footstep planning with greedy and heuristic optimization guided by velocity for biped robot

   8 citations · 2023
4. 4
   Intuitive and Versatile Full-body Teleoperation of A Humanoid Robot

   7 citations · 2021
5. 5
   A Swing-foot Trajectory Generation Method For Biped Walking

   7 citations · 2021
6. 6
   An Overload Protector Inspired by Joint Dislocation and Reduction for Shoulder of Humanoid Robot

   6 citations · 2018
7. 7
   Impact Disturbance Rejection for a Humanoid Robot With Optimal Footstep Regulation Trigger

   2 citations · 2024

Key Collaborators

Contact & Links