Stanford Robotics Seminar ENGR319 | Spring 2026 | Ingredientsfor Long-Horizon Robot Autonomy
A researcher from Physical Intelligence argues that while robots now excel at short, dexterous tasks, true utility requires long-horizon autonomy for complex jobs like cleaning apartments or assembling server racks. The talk introduces MEM (Multiscale Embodied Memory), a system that uses compressed visual and linguistic memory to solve the latency and distribution shift problems that have historically prevented robots from tracking progress over extended time periods.