Sthithparagya Gupta
Papers
1
Total Citations
5
H-Index
1
About
Sthithparagya Gupta is a robotics researcher whose work focuses on the intersection of machine learning and robotic manipulation, particularly in the efficient acquisition of inverse dynamics models. His most-cited paper, "Efficient Configuration Exploration in Inverse Dynamics Acquisition of Robotic Manipulators" (2021, 5 citations), addresses a critical challenge in precise robot control: acquiring accurate models of unmodelled non-linearities like joint friction. Gupta’s contributions lie in optimizing the exploration of a manipulator’s configuration space, reducing the data and computational burden required for model learning. This work has implications for improving the adaptability and precision of robotic systems in real-world tasks. Beyond this, Gupta’s research explores how to balance the trade-offs between input space dimensionality and data efficiency, making his findings valuable for students and engineers working on robot learning and control. His achievements highlight a practical approach to bridging theory and application in robotics, with potential impacts on automation and industrial manipulation.
Research Focus
Key Achievements
Top Papers
- 1