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About

Soheil Habibian is a versatile robotics researcher whose work spans rescue robotics, soft robotics, and human-robot interaction, with a particular emphasis on making robots safer, smarter, and more collaborative partners for humans. His most-cited contribution, the design and implementation of the Karo rescue robot (2021, 67 citations), demonstrates his expertise in building capable autonomous systems for high-stakes, unstructured environments. Alongside this, his investigations into soft robotic actuators using finite element analysis reflect a deep commitment to human-safe robot design, supported by complementary modeling studies of fiber-reinforced systems. More recently, Habibian has made meaningful strides in robot learning and human-robot interaction. His work on reward learning through strategic questioning, latent intent modeling, and haptic communication channels around robot arms addresses a critical challenge: ensuring that humans and robots genuinely understand each other during collaboration. His research on legible task allocation within human-robot teams and waypoint-based reinforcement learning further underscores his ambition to make robots intuitive teammates. A 2024 survey on communicating robot learning consolidates his growing influence in this space. Collectively accumulating over 140 citations, Habibian's research forms a coherent vision of robots that are not only technically capable but meaningfully transparent and responsive to the humans they serve.