Esha Dasgupta
Papers
1
Total Citations
4
H-Index
1
About
Esha Dasgupta is a researcher at the forefront of robotic manipulation and human-robot interaction, with a primary focus on assistive technologies for daily living. Her work centers on enabling robots to handle deformable objects—specifically clothing—a notoriously challenging problem in robotics due to the high dimensionality and variability of fabric states. In her most-cited paper, "Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing" (2023), Dasgupta introduces a novel approach that leverages representation learning to bridge the gap between simulation and real-world cloth manipulation. This contribution is critical for developing robots that can autonomously assist individuals with mobility impairments, such as in dressing tasks. While her citation count is still growing, the work’s immediate relevance to healthcare robotics and its innovative use of cross-domain learning mark it as a foundational piece in the field. Dasgupta’s research not only advances robotic dexterity but also addresses a pressing societal need, positioning her as a rising voice in applied AI and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1