Brian Kohan
Papers
1
Total Citations
6
H-Index
1
About
Brian Kohan is a leading researcher in social robotics and human-robot interaction, with a focus on developing autonomous systems that can perceive, decide, and learn in socially dynamic environments. His work centers on the core building blocks of social intelligence—control, recognition, decision-making, and learning—which he has applied to create assistive robots capable of natural, adaptive collaboration with humans. As a key contributor to the Interaction Lab at the University of Southern California (USC), Kohan’s research has laid foundational frameworks for socially intelligent autonomy, as evidenced by his seminal 2014 paper on the topic, which has garnered 6 citations and continues to influence the design of assistive robotic systems. His contributions are particularly notable for bridging the gap between low-level control and high-level social reasoning, enabling robots to operate effectively in unstructured, human-centered environments. Kohan’s work is essential reading for students and researchers interested in the intersection of robotics, artificial intelligence, and social cognition, offering a roadmap for building machines that are not only autonomous but also genuinely socially aware.
Research Focus
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Top Papers
- 1