Max Robotics — Global Service Robot Directory + US Certification

About

Haozhi Qi is a robotics researcher whose work sits at the intersection of dexterous manipulation, tactile sensing, and legged robot navigation. His research addresses one of robotics' most enduring challenges: enabling machines to interact with the physical world with human-like skill and adaptability. Qi's most influential contribution is "NeuralFeels," a visuotactile perception framework that uses neural fields to estimate object pose and shape during in-hand manipulation—garnering 66 citations since 2024 and representing a significant leap beyond conventional in-hand perception approaches. His work on in-hand object rotation via rapid motor adaptation further demonstrates his ability to bridge simulation and real-world deployment, training controllers entirely in simulation that transfer effectively to physical systems. Beyond manipulation, Qi co-developed VP-Nav, a vision-proprioception navigation system for legged robots that leverages the complementary strengths of both sensing modalities to enable robust point-goal navigation across complex terrain. His more recent work explores tactile skin with shear and normal force sensing and learning manipulation priors from human video demonstrations, reflecting a broadening research vision centered on rich sensory integration. Collectively, his contributions are shaping how robots perceive, adapt, and act in unstructured environments.