Papers
17
Total Citations
836
H-Index
9
About
Animesh Chakravarthy is a leading authority in motion safety and collision avoidance for dynamic, multi-agent systems. His foundational work, the "collision cone approach," introduced a novel geometric method for detecting and avoiding collisions between irregularly shaped moving objects, a concept that has become a cornerstone in robotics and autonomous vehicle navigation. This seminal 1998 paper has garnered over 545 citations, underscoring its profound impact. Chakravarthy has since generalized this framework to 3-D environments, quadric surfaces, and even deforming objects, ensuring motion safety across diverse domains—from aerial and underwater vehicles to computer animation. His research extends to bio-inspired robotics, where he has developed cooperative collision avoidance laws and model-based control for robotic fish, enabling precise 3-D maneuvers through narrow orifices. Notably, his work on "safe-passage cones" provides guidance for precision maneuvers in constrained spaces. With over 800 total citations, Chakravarthy’s contributions are essential reading for researchers in robotics, control systems, and autonomous navigation, offering elegant geometric solutions to complex, real-world collision challenges.
Research Focus
Key Achievements
Top Papers
- 1Obstacle avoidance in a dynamic environment: a collision cone approach545 citations · 1998
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- 3Collision Cones for Quadric Surfaces49 citations · 2011
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- 7Collision avoidance laws for objects with arbitrary shapes11 citations · 2016
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