Sangeet Khemlani

Papers

Total Citations

301

H-Index

About

Sangeet Khemlani is a leading cognitive scientist whose research bridges artificial intelligence, cognitive architecture, and human-robot interaction. His seminal work on ACT-R/E, the first embodied cognitive architecture for human-robot interaction (219 citations), fundamentally transformed how researchers model human cognition in robotic systems. Khemlani’s major contributions include developing computational frameworks that enable robots to understand and predict human behavior, particularly through his influential work on human modeling for collaborative robotics (55 citations). He has also advanced theories of event cognition, creating novel computational models of how humans segment perceptual information into meaningful events (20 citations). His explanatory reasoning framework for embodied agents (7 citations) provides foundational tools for building robots that can generate and evaluate causal explanations. Khemlani’s research has profound implications for creating more intuitive, safe, and effective human-robot teams, making him a pivotal figure in cognitive robotics. His work demonstrates how computational cognitive architectures can unlock deeper understanding of human thought while enabling machines to collaborate with people more naturally.