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About

Omid Shakernia is a leading researcher in the intersection of robotics, computer vision, and multi-agent systems, with a particular focus on formation control and omnidirectional sensing. His most influential work, "Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation" (197 citations), pioneered a novel approach to coordinating robot teams by translating formation control into visual servoing tasks in the image plane, eliminating the need for global positioning systems. Shakernia further advanced this paradigm with "Following the flock" (92 citations), which integrated motion segmentation with panoramic cameras for robust leader-follower tracking and collision avoidance. His contributions to egomotion estimation, notably through "Omnidirectional Egomotion Estimation From Back-projection Flow" (29 citations), introduced an innovative back-projection method that improved accuracy over traditional spherical mapping techniques. Shakernia also made foundational contributions to multi-body motion estimation, demonstrating that independent motions from panoramic views occupy orthogonal subspaces. His work has been widely cited for its practical impact on autonomous drone swarms and mobile robot coordination, establishing him as a key figure in vision-based multi-robot systems.