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About

Behzad Dariush is a robotics researcher whose work sits at the fascinating intersection of human motion analysis, humanoid robot control, and assistive technology. He has made significant contributions to the field of motion retargeting — the challenging problem of transferring natural human movement onto humanoid robotic systems in real time. His landmark 2008 paper on whole-body humanoid control from human motion descriptors (78 citations) established foundational methods for online, markerless motion transfer, while subsequent work on constrained resolved acceleration control and closed-loop inverse kinematics refined the precision and physical plausibility of such systems. Dariush's research tackles practical constraints including kinematic feasibility, joint limits, and balance stability, as reflected in his work on optimizing foot centers of pressure in humanoids. Beyond robot locomotion, he has shown a broader humanitarian vision through his exploration of therapist-in-the-loop assistive robotics for children with autism and language impairment (32 citations), demonstrating an interest in socially meaningful applications of intelligent systems. With over 300 cumulative citations across his most recognized publications, Dariush's career represents a sustained effort to make humanoid robots more naturally programmable, physically capable, and ultimately more beneficial to human society.