Arjun Sripathy

Papers

Total Citations

H-Index

About

Arjun Sripathy is shaping the future of human-robot interaction by teaching machines to move with emotional intelligence. His core research lies at the intersection of robotics and affective computing, where he explores how robots can perform functional tasks while expressing emotions like confidence or empathy. In his highly cited 2022 work, *Teaching Robots to Span the Space of Functional Expressive Motion* (accumulating 17 citations across its versions), Sripathy pioneered methods for learning cost functions from user feedback, enabling robots to adapt their motion to reflect a user’s emotional state or project their own internal confidence. This breakthrough moves beyond rigid, utilitarian robot motion toward a more nuanced, expressive autonomy. By bridging the gap between technical functionality and human emotional cues, Sripathy’s contributions are foundational for creating socially aware robots that can collaborate naturally in homes, hospitals, and workplaces. His work is a key step toward machines that don’t just perform tasks, but do so with feeling.