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About

Khaled Al Khudir is a leading researcher in the field of robotics, specializing in human-robot collaboration, redundancy resolution, and safe task control. His work focuses on enabling fluid, contactless coordination between humans and robots through mixed reality interfaces and vision-based systems, as demonstrated in his highly cited 2020 paper on “Human-robot contactless collaboration with mixed reality interface” (54 citations). Al Khudir has made significant contributions to the control of redundant robots under hard inequality constraints, developing generalized versions of the Saturation in the Null Space (SNS) algorithm that ensure joint and Cartesian limits are never violated—a critical advancement for real-world safety. His research on stable torque optimization using short previews addresses the challenge of torque oscillations during long trajectories, while his Task Priority Matrix methods at the acceleration level enable whole-body collision avoidance under relaxed constraints. With over 100 total citations, Al Khudir’s work bridges theoretical control theory and practical human-robot interaction, offering robust solutions for collaborative manufacturing and assistive robotics.