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About

Tarik Tosun is a robotics researcher whose work spans modular robotics, autonomous systems, and robotic manipulation. He is perhaps best known for his contributions to modular robot systems — robots composed of reconfigurable, interchangeable units capable of adapting their shape and behavior to accomplish complex tasks. His landmark 2018 paper, "An Integrated System for Perception-Driven Autonomy with Modular Robots," has accumulated 110 citations and demonstrated a fully autonomous pipeline enabling modular robots to respond intelligently to previously unknown environments. Complementing this, his end-to-end frameworks for configuration and control generation helped bridge a critical gap between modular hardware capability and practical deployment, attracting significant attention from both the robotics and AI communities. Tosun also made notable contributions to maritime swarm robotics, developing algorithms and system architectures that enable teams of autonomous robotic boats to self-assemble into large floating structures — work that earned nearly 150 combined citations across two influential papers. His hardware contributions include the EP-Face connector, an electro-permanent magnet-based docking mechanism widely referenced in modular robot design. More recently, he has expanded into robotic grasping using deep learning and 3D reconstruction. Across his career, Tosun's research reflects a consistent drive to make autonomous robotic systems more capable, adaptable, and practically deployable.