Rohit Prakash
Papers
1
Total Citations
3
H-Index
1
About
Rohit Prakash is a researcher at the forefront of human-robot interaction, with a focus on understanding and predicting human motion in shared environments. His key research areas include full-body motion capture, workspace geometry, and gaze tracking, which are critical for enabling robots to operate safely and intuitively alongside humans. Prakash’s major contribution is the creation of the MoGaze dataset, a pioneering resource that captures long-duration, full-body human motions integrated with workspace geometry and eye-gaze data. This dataset addresses a critical gap in robotics research, as existing datasets often lack the temporal length and contextual richness needed for robust motion prediction. While still early in his career, with his most-cited paper garnering 3 citations, the MoGaze dataset has laid a foundational stone for future work in human-aware robot planning and anticipation. Prakash’s work is particularly notable for its emphasis on real-world applicability, aiming to equip robots with the perceptual capabilities to navigate dynamic human environments. As the field of collaborative robotics expands, his contributions are poised to become increasingly influential.
Research Focus
Key Achievements
Top Papers
- 1