Madhushree Sannigrahi
Papers
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1
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About
Madhushree Sannigrahi’s research lies at the intersection of autonomous robotics, multi-agent systems, and intelligent control, with a focus on enabling unmanned ground vehicles (UGVs) to operate safely and efficiently in dynamic environments. Her most-cited work, “TrackerBot: Parallel Object Tracking and Collision Avoidance Design for Unmanned Ground Vehicles” (2023), introduces a novel framework that integrates real-time object tracking with collision avoidance, allowing multiple rovers to coordinate their movements without human intervention. This contribution is critical for applications in exploration, surveillance, and disaster response, where autonomous rovers must navigate unpredictable terrain while avoiding obstacles and each other. Sannigrahi’s approach emphasizes parallel processing and sensor fusion, enhancing both speed and reliability in multi-robot systems. Though early in her career, her work has already garnered attention for its practical design and scalability. She continues to advance the field by developing control systems that balance autonomy with safety, making her a promising voice in the next generation of robotics research.
Research Focus
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Top Papers
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