Papers
15
Total Citations
167
H-Index
8
About
Jianwei Gong is a leading researcher in mobile robotics, with a primary focus on motion planning, trajectory tracking, and multi-robot coordination. His work bridges theoretical control and practical autonomy, most notably through the development of an iterative linear quadratic regulator (ILQR) for wheeled mobile robot trajectory tracking—a paper that has garnered 35 citations and remains a foundational reference in the field. Gong also advanced obstacle avoidance with the enhanced Vector Polar Histogram method (VPH+), cited 33 times, which improves robot navigation in cluttered environments by intelligently grouping sensor data. His contributions extend to multi-robot systems, where he pioneered a genetic algorithm-based combinatorial auction for cooperative hunting (23 citations) and later applied behavior trees to collaborative decision-making for unmanned combat vehicles. Gong’s research is characterized by algorithmic innovation—from the ARA*+ path planner to ripple tentacle motion planning—that directly addresses real-world constraints like computational limits and dynamic obstacles. Notably, his work on an assistant robot with standing-up devices demonstrates a commitment to socially impactful applications, aiding paraplegic and elderly users. With over 150 total citations across his most-cited works, Gong has established himself as a key figure in intelligent robotics, shaping how autonomous vehicles navigate, cooperate, and assist.
Research Focus
Key Achievements
Top Papers
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- 5ARA*+: Improved Path Planning Algorithm Based on ARA*11 citations · 2012
- 6Robotic wheeled vehicle ripple tentacles motion planning method10 citations · 2012
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