Sarthak Upadhyay

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

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About

Sarthak Upadhyay is a robotics researcher focused on autonomous navigation, perception, and mapping for ground vehicles. His work addresses critical challenges in enabling robots and autonomous systems to operate safely and efficiently in real-world environments, particularly in detecting small obstacles and exploring unknown spaces. His most cited paper, "Small obstacle detection using stereo vision for autonomous ground vehicle" (2017, 4 citations), tackles the hazardous problem of identifying small road hazards like rocks and bricks that often go unnoticed in standard depth maps, directly improving safety for autonomous driving. Upadhyay also contributed to frontier detection for indoor robot exploration with "CRF Based Frontier Detection using Monocular Camera" (2014, 2 citations), which innovatively uses only a monocular camera rather than requiring 3D input. Additionally, his work "Trajectory planning for monocular SLAM based exploration system" (2015, 2 citations) advances visual SLAM by developing novel planning techniques that allow a single camera to simultaneously localize, map, and plan paths. Through these contributions, Upadhyay has pushed the boundaries of vision-based autonomous systems, making them more robust and accessible for real-world deployment.