Ameya Avinash Patil

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Ameya Avinash Patil is a rising researcher at the intersection of human-robot interaction (HRI) and multimodal sensing, with a focus on enabling machines to anticipate human intent in real time. His most cited work, “Multimodal Target Prediction for Rapid Human-Robot Interaction” (2024, 7 citations), introduces a framework that fuses hand motion, gaze, and contextual cues to predict a user’s target during collaborative tasks—a critical capability for seamless HRI, automotive driver assistance, and adaptive UI/UX design. By moving beyond single-modality approaches, Patil’s research addresses the challenge of rapid, accurate intent prediction in dynamic environments. His contributions hold promise for safer autonomous systems and more intuitive robot teammates. With a growing citation footprint, Patil is establishing himself as a key voice in the next wave of embodied AI, where understanding human behavior is as important as mechanical precision.