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About

Brandon J. DeHart is a robotics researcher whose work spans motion planning, bipedal locomotion, human-robot interaction, and roboethics. His research addresses some of the most pressing challenges in making robots safe, reliable, and socially aware in real-world environments. DeHart's most-cited contribution introduces a chance-constrained approach to rollover-free manipulation planning, tackling the critical problem of robotic arm stability under payload uncertainty — a practical concern for industrial and assistive robotics deployment. This work, framed as a nonlinear optimal control problem, has already garnered 6 citations since 2023. His earlier investigations into bipedal locomotion, including push recovery and online gait generation using foot placement estimation, reflect a sustained interest in robust legged robot motion. His 2019 work on dynamic balance and gait metrics further contributes foundational tools for evaluating real-world legged robot performance. Beyond mechanical systems, DeHart has ventured into socially impactful robotics: his roboethics competition paper advocates for translating ethical theory into tangible engineering practice, while his 2024 Mirrly project introduces a humanoid robot designed for child-robot interaction in therapeutic and educational contexts. Together, these contributions paint the portrait of a researcher committed to bridging technical rigor with human-centered robot design.