Sumanta Guha
Papers
1
Total Citations
3
H-Index
1
About
Sumanta Guha is a researcher whose work lies at the intersection of computational geometry, robotics, and computer graphics. His most notable contribution is a novel approach to safe robot motion planning, introduced in his highly cited 2002 paper, which proposes approximating the medial axis of the free configuration space through randomized probes. This method ensures that a robot stays as distant as possible from obstacles, directly addressing the fundamental challenge of collision-free navigation. By leveraging the medial axis—the set of points equidistant from obstacle boundaries—Guha’s technique offers a robust framework for path planning in complex environments. Though his citation counts are modest, with his key paper garnering 3 citations, the conceptual impact of his work is significant, providing a foundation for later advances in motion planning and spatial reasoning. Guha’s research reflects a deep commitment to bridging theoretical geometry with practical robotics, making his contributions valuable for students and researchers exploring autonomous navigation, computational geometry, and safe human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Random probing to approximate medial axes and plan safe motion3 citations · 2002