Papers
7
Total Citations
162
H-Index
5
About
Heng Wang is a researcher specializing in robotics, autonomous systems, and intelligent control, with particular expertise in trajectory planning, multi-robot formation control, and networked autonomous vehicles. His most recognized contribution, "Smooth point-to-point trajectory planning for industrial robots with kinematical constraints based on high-order polynomial curve" (2019), has garnered over 123 citations, establishing him as a notable voice in industrial robot motion optimization. Wang's research spans a compelling range of challenges in modern robotics: from designing adaptive event-triggered control strategies that protect autonomous vehicles against cybersecurity threats like denial-of-service attacks, to developing distributed fault-tolerant formation controllers for multi-robot systems. His work on deep reinforcement learning for map-less mobile robot navigation demonstrates a forward-looking integration of artificial intelligence into autonomous systems. Notably, Wang has also applied robotics to real-world critical infrastructure, contributing to non-destructive evaluation methods for nuclear waste storage tanks at the U.S. Department of Energy's Hanford site. Across his growing publication record, Wang consistently addresses the intersection of robustness, safety, and autonomy, making his research highly relevant to both academic and industrial communities advancing the next generation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7