Lekha Mohan
Papers
2
Total Citations
38
H-Index
2
About
Lekha Mohan is a robotics researcher whose work bridges the gap between data-driven imitation learning and practical, real-world manipulation. Her key research areas include robot manipulation, imitation learning, and human-robot interaction, with a focus on scaling robotic learning beyond single-task simulations. Her most impactful contribution is the "Multiple Interactions Made Easy (MIME)" dataset, which provides large-scale demonstrations for robotic manipulation—a pioneering effort that has garnered 36 citations and addresses the critical need for diverse, real-world training data. This work stands out for enabling robots to learn from multiple interaction types, moving beyond isolated tasks like grasping or pushing. Mohan also contributed to humanitarian robotics with her design of a borewell rescue robot, demonstrating her commitment to applying robotics for social good. Her research has been recognized for its potential to advance the field of imitation learning, making her a notable figure in the push toward more versatile, data-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and Development of a Borewell Rescue Robot2 citations · 2015