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About

Mathew DeDonato is a robotics researcher whose work has fundamentally advanced the reliability and practical deployment of humanoid robots in high-stakes environments. His primary research areas include humanoid locomotion, human-in-the-loop control, and disaster-response robotics. DeDonato’s most significant contributions came through his leadership on Team WPI-CMU during the DARPA Robotics Challenge (DRC), where he pioneered a "no falls, no resets" philosophy that prioritized robust, failure-avoidant behavior over raw speed. His 2015 paper on this approach has garnered 105 citations, reflecting its impact on the field. By integrating safety features into controllers that could detect catastrophic failures and allow remote intervention, DeDonato helped demonstrate that humanoid robots could operate reliably in unstructured, disaster-response scenarios. His work on the Atlas humanoid robot, detailed in a 78-citation paper from the DRC Trials, showcased a sophisticated human-in-the-loop architecture for controlling a 28-degree-of-freedom system. Beyond the DRC, DeDonato contributed to space exploration robotics, developing hierarchical navigation and arm controllers for sample-return rovers. His research remains a cornerstone for engineers seeking to make humanoid robots dependable partners in critical missions.