Shrey Sahgal
Papers
2
Total Citations
10
H-Index
2
About
Shrey Sahgal is a roboticist focused on the critical challenge of enabling safe, real-time motion planning and control for robotic manipulators operating under real-world uncertainty. His research centers on developing robust algorithms that allow robots to navigate cluttered, arbitrary environments while reliably avoiding collisions, respecting joint limits, and accounting for unpredictable variations in mass and inertia—both of the objects they handle and of the robot itself. Sahgal’s major contribution is the "Autonomous Robust Manipulation via Optimization" framework, which provides a computationally efficient solution for this complex problem. His most-cited works, including the 2025 paper "Can Not Touch This" (6 citations) and its 2023 predecessor "Can't Touch This" (4 citations), have laid the groundwork for a new class of safety-critical manipulation systems. By bridging the gap between theoretical robustness and practical, real-time performance, Sahgal’s work is paving the way for more reliable and autonomous robots in manufacturing, healthcare, and domestic assistance, where safe interaction with humans and unpredictable environments is paramount.
Research Focus
Key Achievements
Top Papers
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