Papers
4
Total Citations
26
H-Index
3
About
Guan-Qiang Wang is a leading researcher in autonomous mobile robotics, with a focus on human-robot collaboration, path planning, and adaptive control. His work addresses critical challenges in enabling robots to operate safely and efficiently in unknown and dynamic environments. Wang’s most cited paper, “Advanced Multi-Sensor Person-Following System on a Mobile Robot” (2024, 10 citations), presents a robust framework for robots to autonomously follow human companions, a key capability for applications in manufacturing and social robotics. He further advanced autonomous navigation with “E-Planner” (2024, 8 citations), an efficient path planner that leverages visibility graphs for real-time obstacle avoidance. In 2025, his work on “LiDAR-Based Autonomous Exploration Using Deep Reinforcement Learning” (5 citations) introduced a learning-based method to improve exploration efficiency in unmapped areas. Wang also contributed to robust control with his “Generalized Multivariable Adaptive Super-Twisting Control” (2022, 3 citations), which ensures stable attitude control for amphibious robots during state transitions. His research consistently bridges theoretical innovation with practical deployment, making significant strides toward fully autonomous, collaborative robotic systems.
Research Focus
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