Manjari Pandya
Papers
1
Total Citations
40
H-Index
1
About
Manjari Pandya is a leading researcher at the intersection of soft robotics and artificial intelligence, with a primary focus on developing intelligent control systems for flexible, deformable manipulators. Her most influential work, "A Deep Learning Method for Vision Based Force Prediction of a Soft Fin Ray Gripper Using Simulation Data" (2021, 40 citations), addresses a critical challenge in soft robotics: the difficulty of modeling and controlling highly non-linear, compliant structures. By pioneering a deep learning framework that predicts contact forces directly from visual inputs—using simulation data to train the model—Pandya has enabled soft Fin Ray grippers to grasp complex, delicate objects with unprecedented precision, bypassing the need for complex physical sensors. This approach not only reduces reliance on costly Finite Element Analysis (FEA) but also opens the door to real-time, adaptive grasping in unstructured environments. Her work is foundational for applications in agricultural harvesting, medical assistive devices, and industrial automation where gentle, adaptive manipulation is essential. With a growing citation impact, Pandya is recognized as a rising innovator bridging simulation-based learning and practical soft robotics, making her research essential reading for students and engineers advancing the next generation of intelligent, compliant robotic systems.
Research Focus
Key Achievements
Top Papers
- 1