Sandeep Banik

Papers

Total Citations

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About

Sandeep Banik is a researcher in control theory and autonomous systems, with a primary focus on developing secure and resilient algorithms for robotic path planning. His work addresses the critical challenge of ensuring safe navigation in adversarial environments, where malicious actors may attempt to disrupt autonomous vehicles. In his most cited paper, "Attack-Resilient Path Planning Using Dynamic Games With Stopping States" (2021, 12 citations), Banik introduces a novel game-theoretic framework that models the interaction between a defending vehicle and an attacker on a graph. The defender is equipped with countermeasures capable of detecting and permanently disabling threats, allowing for optimal path selection even under active attack. This contribution is significant for its rigorous mathematical formulation of security constraints in motion planning, bridging dynamic game theory with practical robotics. Banik’s research has implications for autonomous transportation, military drones, and critical infrastructure protection. His work stands out for its proactive approach to cyber-physical security, offering a foundation for future systems that can anticipate and neutralize threats in real time.