Qihang Xie
Papers
1
Total Citations
20
H-Index
1
About
Qihang Xie is a robotics researcher whose work focuses on advancing active safety and motion control for robotic systems, particularly in obstacle avoidance and human-robot interaction. His major contributions lie in the integration of control barrier functions (CBFs) with model predictive control (MPC) to create flexible, real-time safety mechanisms. In his most-cited paper, "Flexible Active Safety Motion Control for Robotic Obstacle Avoidance: A CBF-Guided MPC Approach" (2025, 20 citations), Xie introduces a novel framework that dynamically optimizes CBF-guided safety criteria, enabling robots to balance collision avoidance with task performance more adaptively than traditional rigid safety constraints. This work has been recognized for its potential to enhance the autonomy and reliability of robotic manipulators in unstructured environments. With growing citation impact, Xie is establishing himself as a rising voice in the field of safe robot control, contributing to the next generation of intelligent, human-aware robotic systems.
Research Focus
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Top Papers
- 1