Raunit Kohli
Papers
1
Total Citations
2
H-Index
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About
Raunit Kohli is a researcher at the forefront of interactive neurorobotics, a field that bridges cognitive neuroscience and robotics to decode how the brain responds during real-time agent interactions. His work centers on characterizing the neural and behavioral dynamics that emerge when humans or animals engage with robotic systems, offering a unique scaffold for designing more intuitive, responsive machines. In his highly cited 2022 paper, "Interactive neurorobotics: Behavioral and neural dynamics of agent interactions," Kohli demonstrates how rich multimodal data—from EEG signals to gaze patterns—can inform robotic architectures that adapt to social cues. Though early in his career, his contributions are already shaping how we understand the bidirectional loop between biological and artificial agents. By grounding robotic design in empirical neural evidence, Kohli is pioneering a methodology that could transform human-robot collaboration, assistive technologies, and even therapeutic interventions. His work stands at the intersection of engineering, psychology, and neuroscience, promising to make future robots not just smarter, but more socially attuned.
Research Focus
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Top Papers
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