Papers
4
Total Citations
18
H-Index
2
About
Mukund Mitra is a researcher at the forefront of human-robot interaction (HRI), specializing in intent prediction, inverse reinforcement learning, and extended reality. His work focuses on enabling robots to anticipate human motion and intentions, dramatically improving the fluidity and efficiency of collaborative tasks. Mitra’s key contributions include developing multimodal target prediction systems that forecast user intent during rapid aiming movements, with applications ranging from UI/UX design to automotive driver assistance. By leveraging deep inverse reinforcement learning, he has created frameworks for shared autonomy that reduce the cognitive and physical burden on users during human-robot handovers. His research on rapid aiming movements in extended reality environments further bridges the gap between virtual interfaces and physical robotics. Notable achievements include his work on the Cassie bipedal robot, where he applied radial basis function networks to solve complex inverse kinematics problems. With his most-cited papers accumulating over 18 citations since 2021, Mitra’s innovative approaches are shaping the next generation of intuitive, responsive robotic systems for seamless human collaboration.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Target Prediction for Rapid Human-Robot Interaction7 citations · 2024
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