Anirudh Reddy Kondapally
Papers
2
Total Citations
21
H-Index
2
About
Anirudh Reddy Kondapally is a researcher advancing the frontiers of human-robot interaction and intelligent human-machine systems. His work centers on enabling more intuitive, seamless collaboration between humans and robots by integrating multimodal behavioral cues—such as gaze, hand gestures, and motion—into shared-control frameworks. In his highly cited 2022 paper (19 citations), Kondapally developed a novel intention estimation framework that leverages natural gaze and motion features to anticipate user goals during teleoperated object manipulation, significantly improving the responsiveness and fluidity of shared-control systems. More recently, he has pioneered neuro-symbolic reasoning approaches for multimodal referring expression comprehension in HMI systems (2024), bridging the gap between symbolic AI and neural networks to interpret complex human communication that combines speech, gesture, and pointing. His contributions are particularly impactful for assistive robotics, autonomous driving, and industrial teleoperation, where rapid, accurate intention inference is critical. By fusing cognitive science insights with cutting-edge AI, Kondapally is shaping the next generation of systems that understand human intent as naturally as another person would.
Research Focus
Key Achievements
Top Papers
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