Sharvil Patankar

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About

Sharvil Patankar's research addresses a critical bottleneck in autonomous robotics: energy constraints that limit the scope and duration of multi-robot missions. His work focuses on mission planning for large-scale search and rescue operations, particularly using teams of unmanned aerial vehicles (UAVs) and static charging stations. In his highly cited 2018 paper, "Planning Large-Scale Search and Rescue using Team of UAVs and Charging Stations" (43 citations), Patankar introduced a novel planning method that strategically deploys charging stations to overcome energy limitations while satisfying mission objectives. This approach enables sustained, wide-area operations without requiring robots to return to a central base. Expanding on this foundation, his follow-up paper, "Multi-Robot Mission Planning with Static Energy Replenishment" (31 citations), further formalized the coordination between robots and energy infrastructure. Patankar's contributions are pivotal for real-world deployment of autonomous fleets in disaster response, environmental monitoring, and infrastructure inspection, where uninterrupted operation is essential. His work bridges the gap between theoretical multi-robot planning and practical energy-aware systems, offering scalable solutions that have influenced subsequent research in persistent robotic missions.