Meha Kaushik
Papers
1
Total Citations
74
H-Index
1
About
Meha Kaushik is a leading researcher in multi-robot systems and autonomous navigation, with a primary focus on enabling safe, decentralized coordination under real-world uncertainty. Her most influential contribution is the development of PRVO (Probabilistic Reciprocal Velocity Obstacle), a groundbreaking framework that extends the classic Reciprocal Velocity Obstacle (RVO) model to account for sensor and motion uncertainty. By probabilistically characterizing the space of safe velocities, PRVO allows each robot to guarantee collision avoidance with a specified probability, even when faced with noisy observations or imperfect control. This work, which has garnered 74 citations, directly addresses a critical gap in multi-robot navigation—bridging theoretical collision avoidance with practical, uncertainty-aware deployment. Kaushik’s research has significant implications for swarm robotics, autonomous warehouse logistics, and cooperative drone operations, where reliable decentralized decision-making is essential. Her rigorous approach to modeling stochastic dynamics and her ability to translate probabilistic guarantees into actionable control policies mark her as a key innovator in the field. Through PRVO and related work, she continues to shape how autonomous systems navigate complex, unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1