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About

R. Mehrotra’s research centers on robotics, with a primary focus on collision detection and avoidance for multi-arm and mobile robot systems operating in shared workspaces. His major contributions lie in developing practical, geometric approaches to ensure safe, collision-free motion planning. Mehrotra pioneered the use of sphere models to represent robot wrists, simplifying the complex problem of detecting and avoiding collisions between two robot arms. His most cited work, “Collision detection for planning collision-free motion of two robot arms” (2003, 13 citations), along with foundational papers from the late 1980s, established a framework for detecting collisions along preplanned trajectories and replanning paths to prevent interference. This work directly addressed the critical challenge of coordinating multiple manipulators in industrial settings. While his research has accumulated modest citation counts, its focused impact on practical collision-avoidance algorithms is notable. Mehrotra’s methods offered a computationally efficient alternative to more complex models, making them accessible for real-time applications. His contributions remain relevant for researchers in robot motion planning, multi-agent coordination, and industrial automation, providing a clear, geometric foundation for ensuring safety in shared robotic environments.