P. S. Naga Jyotish

Indian Institute of Technology Hyderabad, International Institute of Information Technology, Hyderabad

Papers

Total Citations

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About

P. S. Naga Jyotish is a robotics researcher whose work centers on autonomous navigation, collision avoidance, and multi-agent systems in dynamic, human-shared environments. Their major contribution is the development of the Inverse Velocity Obstacle (IVO) framework, an egocentric approach that enables real-time, collision-free maneuvering for both single and multi-agent systems. Building on this, Jyotish introduced PIVO (Probabilistic Inverse Velocity Obstacle), a probabilistic extension that explicitly handles state estimation and motion uncertainties, making navigation robust in unpredictable settings. These innovations have been published in key venues (2019), with their foundational IVO paper garnering 9 citations and the PIVO work attracting 6 citations, reflecting growing interest from the autonomous systems community. By addressing the critical challenge of safe, real-time navigation under uncertainty, Jyotish’s research directly impacts the deployment of robots in crowded, human-centric spaces—from service robots to autonomous vehicles. Their work stands out for its practical, computationally efficient framework that bridges theoretical obstacle avoidance with real-world implementation, marking Jyotish as a promising voice in the field of intelligent, safe autonomous navigation.