Vignesh Narayanaswamy
Papers
1
Total Citations
3
H-Index
1
About
Vignesh Narayanaswamy is a robotics researcher whose work bridges the gap between human demonstration and autonomous robot learning, with a particular focus on domestic manipulation tasks. His key research areas include imitation learning, video-based robot skill acquisition, and household robotics. Narayanaswamy's most notable contribution is his pioneering work on "Robot Learning to Mop Like Humans Using Video Demonstrations" (2023), where he developed a system that enables robots to perform complex mopping behaviors by learning directly from human video examples, rather than relying on hand-coded instructions. This approach addresses the fundamental challenge of teaching robots variable, surface-adaptive cleaning motions that mimic human efficiency. While his citation count of 3 reflects the recency of this work, the paper represents a significant step toward making household robots truly useful for mundane but essential tasks. His research is particularly relevant for students interested in the intersection of computer vision, robotics, and human-robot interaction, offering a practical pathway from observing human demonstrations to generating robust robot policies for real-world domestic environments.
Research Focus
Key Achievements
Top Papers
- 1Robot Learning to Mop Like Humans Using Video Demonstrations3 citations · 2023