Papers
15
Total Citations
538
H-Index
10
About
Dawei Gong is a prominent robotics and control systems researcher whose work spans mobile robot path planning, robotic manipulator control, parallel robot systems, and intelligent optimization algorithms. He is perhaps best known for his groundbreaking contributions to ant colony optimization for mobile robotics, with his 2019 paper on A*-heuristic-enhanced ant colony path planning amassing over 215 citations — a testament to its widespread adoption in autonomous navigation research. His 2020 follow-up further refined trajectory smoothness and obstacle avoidance, cementing his influence in this domain. Gong has also made significant strides in adaptive neural network control, developing controllers capable of handling complex nonlinearities such as backlash-like hysteresis in robotic manipulators. His research extends to multi-legged robotics, parallel robot platforms including Gough-Stewart configurations, and data-driven optimal control via approximate dynamic programming. More recently, he has explored vision-based and force control strategies for collaborative robots, demonstrating a forward-looking integration of perception and control. With a cumulative citation record exceeding 500 across his most influential works, Gong's research has meaningfully shaped modern intelligent robotics and autonomous systems engineering.
Research Focus
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- 10Design of a Gough–Stewart Platform Based on Visual Servoing Controller13 citations · 2022