Zeren Chen
Papers
1
Total Citations
10
H-Index
1
About
Zeren Chen is a robotics researcher whose work focuses on enhancing the safety and robustness of bipedal locomotion, particularly for humanoid robots. His key contributions lie in developing bio-inspired fall prevention and arrest strategies that mitigate the severe risks inherent in bipedal systems. In his highly cited 2021 paper, Chen introduced a novel approach drawing from human fall arrest behavior, using arm contact with environmental objects to prevent falls. By integrating capture point methods with stiffness ellipsoid optimization, his work provides a principled framework for real-time fall prevention, addressing a critical gap in humanoid robot safety. With over 10 citations on this work alone, Chen’s research has already influenced subsequent studies in dynamic locomotion and human-robot interaction. His contributions are particularly notable for bridging insights from human biomechanics with practical robotic control, offering a pathway toward more resilient and adaptive humanoid platforms. Chen’s work is essential reading for researchers interested in fall mitigation, whole-body control, and the intersection of human-inspired strategies with robotic safety.
Research Focus
Key Achievements
Top Papers
- 1