Saptarshi Dasgupta
Papers
1
Total Citations
2
H-Index
1
About
Saptarshi Dasgupta is a leading researcher in robotics and computer vision, with a primary focus on enabling robots to autonomously interact with and understand their environments. His work centers on the intersection of active learning, 3D scene representation, and robot manipulation. Dasgupta’s major contribution is the development of ActNeRF, a novel framework that integrates Neural Radiance Fields (NeRF) with active learning strategies. This approach allows a robot manipulator to efficiently build complete 3D models of unseen objects by intelligently selecting visual and re-orientation actions, overcoming challenges like occlusion. By reducing the need for exhaustive data collection, his method significantly accelerates the robot’s ability to grasp and manipulate novel objects. With his most-cited paper already garnering attention in the field, Dasgupta’s work is paving the way for more adaptive and sample-efficient robotic systems. His research is particularly impactful for applications in industrial automation, service robotics, and autonomous exploration, where rapid adaptation to new objects is critical.
Research Focus
Key Achievements
Top Papers
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