Tushar Agrawal

Birla Institute of Technology and Science, Pilani

Papers

Total Citations

H-Index

About

Tushar Agrawal is a researcher whose work sits at the intersection of human-computer interaction (HCI) and mobile robotics, with a particular focus on vision-based systems and autonomous navigation. His most cited contribution, "A Vision-Based Method to Find Fingertips in a Closed Hand" (2012, 17 citations), addresses a core challenge in hand gesture recognition: accurately detecting fingertips to enable more intuitive interfaces. By leveraging geometric attributes of the hand, Agrawal’s method provides a foundation for robust hand shape reconstruction and gesture recognition, key components for advancing HCI technologies. In parallel, his work in mobile robotics, exemplified by "Localization using relative mapping technique for mobile soccer robots" (2013, 4 citations), tackles the critical problem of robot localization. This research explores probabilistic techniques for estimating position and orientation, incorporating compass sensors to enhance accuracy in dynamic environments like robotic soccer. While his citation counts reflect a focused, early-career impact, Agrawal’s contributions bridge two vital domains—vision-based interaction and autonomous navigation—offering practical solutions that continue to inform developments in gesture control and robotic perception. His work underscores the importance of geometric and probabilistic methods in creating more responsive, intelligent systems.