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About

Maram Khatib is a leading researcher in human-robot interaction and redundant robot control, with a focus on enabling safe, contactless collaboration between humans and machines. Her work bridges mixed reality interfaces and advanced control algorithms to allow robots and human operators to work in close physical proximity without collision. Khatib’s most cited paper, “Human-robot contactless collaboration with mixed reality interface” (2020, 54 citations), introduces a novel framework for intuitive, vision-based coordination. She has made foundational contributions to the Saturation in the Null Space (SNS) algorithm, generalizing it to handle hard inequality constraints in both joint and Cartesian spaces simultaneously—a critical advancement for real-world robotic safety. Her research on the Task Priority Matrix (TPM) at the acceleration level further enables whole-body collision avoidance under relaxed constraints, maximizing robot dexterity. With over 90 total citations, Khatib’s work is essential for researchers developing collaborative robots that must operate safely alongside humans in shared workspaces. Her achievements include pioneering the integration of visual coordination tasks with redundancy resolution, setting new standards for human-robot collaboration in manufacturing and service robotics.