Papers
1
Total Citations
6
H-Index
1
About
Ke Gong is a robotics researcher whose work focuses on advancing autonomous navigation for non-holonomic vehicles, particularly in challenging off-road environments. His key contributions lie in developing efficient local planning algorithms that respect the unique kinematic constraints of Ackermann-steered platforms. In his most cited work, "Bounded-DWA: An Efficient Local Planner for Ackermann-driven Vehicles on Sandy Terrain," Gong introduces a novel adaptation of the Dynamic Window Approach (DWA) that explicitly bounds the sampling space using Ackermann geometry, dramatically improving computational efficiency without sacrificing safety. This innovation is critical for real-time deployment on sandy or deformable terrains where traditional planners struggle. With 6 citations, this paper has already garnered attention from researchers working on field robotics and planetary exploration. Gong’s work bridges a gap between theoretical motion planning and practical, terrain-aware navigation, offering a principled method to reduce the search space while maintaining kinodynamic feasibility. His research is particularly valuable for students and engineers designing autonomous ground vehicles for agriculture, mining, or extraterrestrial rovers, where efficient and robust local planning is essential for mission success.
Research Focus
Key Achievements
Top Papers
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