Shehryar Ali Khan

National University of Sciences and Technology

Papers

Total Citations

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About

Shehryar Ali Khan is a robotics researcher whose work focuses on multi-agent motion planning and collision avoidance for mobile robots. His most influential contribution, the 2015 paper "Collaborative Optimal Reciprocal Collision Avoidance for Mobile Robots," addresses the critical challenge of enabling multiple robots to navigate shared spaces without collisions. This work extends the Optimal Reciprocal Collision Avoidance (ORCA) framework, introducing a collaborative approach that allows robots to coordinate their movements more efficiently in dynamic environments. With 6 citations, this paper has informed subsequent research in swarm robotics and autonomous navigation. Khan's research sits at the intersection of robotics, control systems, and artificial intelligence, tackling fundamental problems in how autonomous agents interact in physical spaces. His contributions are particularly relevant to applications in warehouse automation, drone swarms, and collaborative manufacturing, where multiple robots must operate safely in close proximity. By advancing methods for reciprocal collision avoidance, Khan helps pave the way for more sophisticated multi-robot systems capable of real-world deployment.