Madhu Vadali

Indian Institute of Technology Gandhinagar

Papers

Total Citations

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About

Madhu Vadali is a robotics researcher specializing in multi-robot systems, with a particular focus on path planning and formation control. Their work addresses the critical challenge of enabling teams of homogeneous robots to navigate complex, obstacle-ridden environments safely and efficiently. Vadali’s key contributions center on the development of the FF-RRT (Flexible Formation Rapidly-exploring Random Trees) family of algorithms, which provide a sampling-based approach to global path planning for multi-robot formations. The foundational FF-RRT paper (2021, 4 citations) introduced a centralized planner that allows robot formations to flexibly adapt their geometry while moving toward a goal. Building on this, the FF-RRT* extension (2024, 2 citations) leverages the optimality guarantees of RRT* for more efficient, collision-free global paths. Additionally, Vadali’s work on dynamic prioritization (2021, 3 citations) tackles the critical problem of conflict resolution in multi-robot systems, offering a method to assign priorities in real-time to prevent collisions without sacrificing efficiency. These contributions are vital for applications in warehouse automation, search-and-rescue, and autonomous exploration, establishing Vadali as a rising voice in scalable, practical multi-robot coordination.