Agniva Sengupta
Papers
1
Total Citations
11
H-Index
1
About
Agniva Sengupta is a researcher at the intersection of robotics, computer vision, and deformable object manipulation. His work focuses on enabling robots to perceive, track, and physically interact with soft and deformable materials—a notoriously challenging area in autonomous systems. In his highly cited 2020 paper, "Simultaneous Tracking and Elasticity Parameter Estimation of Deformable Objects" (11 citations), Sengupta introduced a novel framework that fuses real-time visual data from an RGB-D sensor with interactive Finite Element Method simulations. This approach allows robots to not only track the complex deformations of soft objects but also to estimate their unknown elasticity parameters on the fly, a critical capability for tasks ranging from surgical assistance to industrial handling of food or textiles. By bridging simulation and perception, Sengupta’s work lays the foundation for more adaptive and physically aware robotic systems. His contributions are particularly impactful for researchers in soft robotics, medical robotics, and autonomous manipulation, offering a principled method to close the loop between sensing and physical interaction with the world.
Research Focus
Key Achievements
Top Papers
- 1