Teams at FieldAI

Develop and maintain AR/VR applications for supervising, manipulating, and controlling humanoid robots. Design spatial interaction workflows, integrate user interfaces with robotic perception and control systems, and deploy reliable applications on real robots. Prototype and evaluate interfaces through user studies, optimize distributed systems across headsets and robotic hardware, and collaborate with robotics, hardware, and software teams on testing, monitoring, and field support.

Develop and deploy learned manipulation models for humanoid robots, combining perception, planning, control, reinforcement learning, and imitation learning. Build robotics foundation models, scalable training and evaluation pipelines, data systems, and experimental infrastructure. Test systems on real hardware and in field environments, collaborating across research, engineering, and field teams to deliver reliable, generalizable robotic autonomy.

Conduct research on large-scale learned humanoid manipulation and robotics foundation models. Develop architectures, learning objectives, reinforcement and imitation learning methods, multimodal behavior models, and cross-embodiment transfer techniques. Design rigorous benchmarks and real-world experiments, train and deploy models on physical humanoid robots, analyze failures, and translate findings into scalable systems. Provide technical leadership, mentor colleagues, and communicate results through reviews, publications, presentations, and open-source work.