Rishikesh Parthasarathi

Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Rishikesh Parthasarathi is a robotics researcher whose work focuses on motion planning, collision avoidance, and autonomous navigation for mobile robots. His most influential contribution is the development of an Inevitable Collision State (ICS) checker for car-like vehicles, a concept that fundamentally advances safe robot motion by identifying states from which a collision is unavoidable regardless of future actions. This 2007 paper, with 31 citations, integrates vehicle dynamics and obstacle motion to enhance predictive safety in autonomous driving. Parthasarathi also explored intelligent goal-seeking behavior in mobile robots using Dynamic Fuzzy Q-Learning, a reinforcement learning method that enables robots to self-organize fuzzy rules for efficient obstacle avoidance and goal reaching. This work, published in 2005, demonstrates his early interest in combining learning algorithms with fuzzy logic for real-time navigation. His research bridges theoretical safety guarantees with practical learning-based control, offering valuable insights for students and engineers working on autonomous vehicle safety and adaptive robot navigation.