Avneesh Sud
Papers
2
Total Citations
81
H-Index
2
About
Avneesh Sud is a leading researcher in robotics and motion planning, with a focus on enabling complex, multi-agent systems to operate safely in dynamic environments. His most influential work, the 2007 paper "Reactive deformation roadmaps: motion planning of multiple robots in dynamic environments" (56 citations), introduced a groundbreaking algorithm that uses deformable links and physics-based retraction—drawing on Newtonian mechanics and Hooke’s Law—to maintain free-space connectivity for multiple robots navigating among moving obstacles. This approach marked a significant advance in real-time, reactive planning. Sud further extended these ideas in "Efficient Motion Planning of Highly Articulated Chains using Physics-based Sampling" (25 citations), where he pioneered a kinodynamic planning method that generates samples via dynamic simulation, effectively handling the complex constraints of highly articulated chains. By integrating physics directly into the sampling process, Sud’s work has provided a robust framework for motion planning in high-dimensional, constrained spaces, influencing subsequent research in autonomous robotics, manipulation, and multi-robot coordination. His contributions remain a cornerstone for students and engineers tackling real-world motion planning challenges.
Research Focus
Key Achievements
Top Papers
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