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About

Haris Dindo’s research sits at the intersection of cognitive robotics, sensorimotor communication, and human-robot interaction, exploring how machines can learn from and collaborate with humans. His most cited work, “The body talks: Sensorimotor communication and its brain and kinematic signatures” (136 citations), reveals how subtle body movements serve as coordination signals during joint actions—a key insight for designing robots that can “talk” through motion. Dindo has also advanced imitation learning, developing probabilistic frameworks that allow robots to infer goals and intentions from observed actions, as seen in his 2006 paper “A cognitive framework for imitation learning” (53 citations) and subsequent adaptive models. His contributions extend to language acquisition, where he created a probabilistic system for humanoid robots to learn visually grounded language through interaction (29 citations). Notably, Dindo applied his cognitive modeling expertise to prosthetics with “SmartLeg,” an intelligent active robotic prosthesis for lower-limb amputees (22 citations). His work on action simulation and mindreading—including a computational perspective on the intentional stance—has shaped how researchers think about robot social cognition. With over 400 total citations, Dindo’s research continues to bridge cognitive science and robotics, offering practical pathways for machines to understand and coordinate with humans.