Na Huang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Na Huang is a leading researcher in robotics and autonomous systems, with a primary focus on safe and adaptive motion planning in dynamic environments. Her most significant contribution is the development of an improved artificial potential field method that enables robots to simultaneously achieve precise trajectory tracking of demonstrated paths while effectively avoiding moving obstacles—a critical challenge in learning from demonstration. This work, published in 2025 and already garnering 4 citations, addresses the fundamental tension between fidelity to learned behaviors and real-time collision avoidance. Dr. Huang’s research bridges imitation learning and reactive control, offering practical solutions for deploying robots in human-centric spaces. Her approach has direct implications for autonomous navigation, service robotics, and industrial automation, where robots must operate safely alongside humans. By integrating demonstration learning with robust obstacle avoidance, Dr. Huang is advancing the next generation of intelligent, adaptable robotic systems capable of handling the unpredictability of real-world environments.
Research Focus
Key Achievements
Top Papers
- 1