Max Robotics — Global Service Robot Directory + US Certification

About

Amir Behjat’s research bridges robotics, artificial intelligence, and human-machine teaming, with a focus on enabling autonomous systems to operate effectively in complex, real-world environments. His work spans swarm robotics, unmanned aerial vehicles (UAVs), and human-robot collaboration, addressing challenges from tactical mission planning to physical interaction. A key contribution is his development of a framework for learning robot swarm tactics in adversarial settings, which integrates single-robot behaviors with group primitives like task allocation and formation control—work that has garnered 14 citations and laid groundwork for resilient multi-agent systems. Behjat has also made notable advances in UAV acoustics, experimentally characterizing the acoustic field of hovering quadcopters (8 citations), a study critical for noise mitigation and stealth operations. In healthcare robotics, his use of robotic mechanical perturbations for enhanced balance assessment (5 citations) offers objective tools for evaluating patients with neural or musculoskeletal disorders. His recent work on a computational framework for assessing human-robot mission outcomes (2025) targets long-duration space exploration, reflecting his commitment to pushing autonomous systems into high-stakes, collaborative domains. Through neuro-evolution and co-design approaches, Behjat continues to shape how intelligent machines learn, adapt, and team with humans.