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About

William Thibault is a leading researcher in humanoid robotics, specializing in whole-body manipulation and locomotion. His work bridges the critical gap between bimanual dexterity and dynamic stability, enabling humanoid robots to perform complex tasks while balancing on two feet. Thibault’s major contributions include developing a bimanual manipulation workspace analysis that integrates manipulability and whole-body stability under object-specific coupling constraints, a foundational framework for dual-arm coordination. He also established a standardized benchmark for evaluating humanoid manipulation skills during standing and loco-manipulation, where robots manipulate objects while walking. Most recently, Thibault has advanced the field through massively parallel learning of velocity-based locomotion using Brax and MJX, accelerating the training of robust walking controllers. Despite the nascent stage of his career, his work has already garnered citations from peers seeking to replicate and extend his methodologies. Thibault’s research is pivotal for creating humanoids that can seamlessly interact with human environments, combining theoretical rigor with practical benchmarking to push the boundaries of autonomous manipulation.