Sudeep Sarkar
Papers
10
Total Citations
132
H-Index
7
About
Sudeep Sarkar’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a focus on enabling machines to perceive, explore, and manipulate their environments autonomously. He has made significant contributions to 3D shape recovery and pose estimation, notably through his work on multi-scale superquadric fitting for unknown objects (37 citations), which allows robotic systems to rapidly acquire geometric information from point cloud data for efficient manipulation. His pioneering work on exploring unknown polygonal environments with bounded visibility (26 citations) addresses fundamental challenges in autonomous navigation, developing online algorithms for robots to map and traverse complex, obstacle-filled spaces. Sarkar has also advanced telerobotic systems by integrating intention recognition, enabling robots to identify and assist human operators in grasping tasks based on real-time motion cues (22 citations). His earlier work on dynamic edge warping for recovering disparity maps from uncalibrated stereo images (9 citations) laid groundwork for robust 3D perception under weak constraints. With a career spanning decades, Sarkar’s research has profoundly impacted autonomous robotics, from foundational exploration algorithms to practical grasping and teleoperation systems.
Research Focus
Key Achievements
Top Papers
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- 4Exploring an Unknown Polygonal Environment with Bounded Visibility11 citations · 2001
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- 9Motion detection from temporally integrated images3 citations · 2002
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