Teams at Gritt Robotics

Develop motion-planning and control algorithms for outdoor construction robots, deploy them on hardware, benchmark and tune them for robust real-world operation, and integrate them with perception and learning components. Interns own scoped projects, work with mentors, and demonstrate results. Projects may include safe-stop and human-avoidance behaviors or manipulation from moving platforms on rough terrain.

Develop and deploy state-of-the-art physical AI for outdoor robotics, focusing on perception, planning, control, simulation-driven training, multi-sensor integration, data pipelines, and GPU-optimized training and inference.

Lead development of scalable simulation and training infrastructure for robot learning. Implement high-fidelity physics, handle multimodal sensor data, build tools for large-scale RL/imitation learning, and optimize software for GPU parallelization. Help shape AI capabilities and grow into leadership roles.