Sahil Narang

University of North Carolina at Chapel Hill

Papers

Total Citations

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About

Sahil Narang is a leading researcher in multi-agent navigation and collision avoidance, with a focus on real-time, scalable solutions for autonomous systems. His most cited work, "Real-time reciprocal collision avoidance with elliptical agents" (2016, 63 citations), introduces a groundbreaking algorithm that extends the reciprocal velocity obstacle framework to handle elliptical agents—a significant departure from traditional circular models. By employing conservative linear approximations of ellipses, Narang enables tight-fitting, efficient collision-free navigation for robots in dense, dynamic environments. This contribution has direct applications in swarm robotics, autonomous vehicles, and human-robot interaction, where realistic agent shapes and real-time performance are critical. His work is widely recognized for bridging theoretical rigor with practical deployment, influencing subsequent research in multi-robot coordination and safety-critical systems. Narang’s research continues to shape how autonomous agents perceive and navigate shared spaces, making him a key figure in the evolution of intelligent, collision-free motion planning.