Sankar Das

Papers

Total Citations

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About

Sankar Das is a researcher specializing in multi-robot systems, with a focus on coverage planning and collision avoidance in dynamic environments. His work addresses critical challenges in information gathering for applications such as search and rescue, precision agriculture, and infrastructure monitoring. Das’s most cited paper, “Rhocop: Receding Horizon Multi-Robot Coverage” (2018, 6 citations), introduces a novel planning framework for efficiently covering partially known workspaces, enabling robots to adaptively gather data in uncertain conditions. This contribution is foundational for real-world deployment where complete environmental knowledge is unavailable. In his subsequent work, “OMCoRP: An Online Mechanism for Competitive Robot Prioritization” (2021, 3 citations), Das proposes a paradigm-shifting approach to collision avoidance. Unlike traditional offline or fully cooperative methods, OMCoRP offers an online mechanism that handles non-cooperative robots, making it practical for mixed-autonomy scenarios. Though early in his career, Das’s research demonstrates a clear trajectory toward scalable, real-time solutions for multi-robot coordination, with potential to impact autonomous systems in complex, shared spaces.