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About

Andrew SaLoutos is a robotics researcher whose work spans humanoid robotics, dynamic locomotion, and dexterous manipulation, with a particular focus on building high-performance robotic systems capable of human-level physical capabilities. His most recognized contribution is the design and development of the MIT Humanoid, a dynamic research platform engineered for athletic feats such as running and jumping, emphasizing high power density and robust mechanical and electrical systems — a paper that has garnered 21 citations since its 2023 publication. SaLoutos has also made meaningful advances in tactile sensing, introducing bi-modal hemispherical sensors capable of real-time multi-axis contact force and surface normal detection, enabling more capable robotic manipulation and locomotion (14 citations). His work on autonomous grasping reflexes challenges the field's over-reliance on vision-based feedback by incorporating high-bandwidth force, contact, and proximity sensing to dramatically improve manipulation speed and robustness. Earlier in his career, SaLoutos contributed to swarm robotics through the SpinBot project. Across his body of work, he consistently pursues the integration of sensing, actuation, and mechanical design to push robotic systems closer to the agility and adaptability of biological counterparts.