Yangzhen Chen
Papers
2
Total Citations
30
H-Index
2
About
Yangzhen Chen is a robotics researcher whose work focuses on improving the safety, stability, and intelligence of robotic systems, particularly in humanoid and quadruped platforms. One of Chen’s key contributions is the development of a novel protection circuit for humanoid robot controllers using the ACS712 Hall sensor, which enables active, real-time current detection to replace slower passive fuse-based methods. This work, cited 19 times, addresses a critical gap in robot safety by significantly reducing response time to electrical faults. Chen also advanced locomotion control in quadruped robots through a push recovery strategy based on reinforcement learning (RL). By employing a simplified robot model to reduce the complexity of state and action spaces, Chen’s 2015 paper (11 citations) demonstrates how RL can be efficiently applied to real-time balance recovery, enhancing robot resilience in dynamic environments. These contributions highlight Chen’s commitment to bridging hardware safety and adaptive control, offering practical solutions that improve both the reliability and autonomy of legged robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2