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About

Arne-Christoph Hildebrandt is a robotics researcher whose work spans humanoid locomotion, autonomous navigation, and human-robot interaction. His research has made substantial contributions to enabling bipedal robots to operate effectively in real-world, unstructured environments — one of the field's most demanding challenges. Hildebrandt is perhaps best known for his advances in real-time path and footstep planning for humanoid robots, with his 2017 paper on real-time path planning in unknown environments accumulating 42 citations and his footstep optimization work establishing robust mathematical frameworks using nonlinear model predictive control. His vision-based 3D environment modeling research has pushed the boundaries of what humanoid robots can perceive and react to dynamically, without prior environmental knowledge. Beyond locomotion, Hildebrandt has demonstrated notable breadth, contributing to logistics robotics — reflected in his most-cited work with 47 citations — as well as tactile sensing and cooperative human-robot manipulation. His state estimation work, fusing inertial, encoder, and force-torque data, has provided foundational tools for stable bipedal control. With over 200 cumulative citations across his key publications, Hildebrandt's research represents a significant body of work advancing autonomous, physically capable robots toward practical human-centered deployment.