# History Representation Map

A group from the University of Hong Kong, Shanghai Innovation Institute, Archon Robotics and other institutions released Compass 1, an embodied navigation foundation model trained on monocular RGB video that adds sparse keyframes and an explicit history map to a unified understanding-and-generation backbone, letting an agent backtrack through nearly two minutes of visual history. Across zero-shot real-world trials in four scenarios (office, terrace, complex outdoor and pedestrian-dense street) and eight tasks, Compass 1 reached 79.4% overall success versus 17.8% for the strongest baseline, AwareVLN; on persistent history backtracking the baseline scored 0% and Compass 1 scored 58%.

A group from the University of Hong Kong, Shanghai Innovation Institute, Archon Robotics and other institutions released Compass 1, an embodied navigation foundation model trained on monocular RGB video that adds sparse keyframes and an explicit history map to a unified understanding-and-generation backbone, letting an agent backtrack through nearly two minutes of visual history. Across zero-shot real-world trials in four scenarios (office, terrace, complex outdoor and pedestrian-dense street) and eight tasks, Compass 1 reached 79.4% overall success versus 17.8% for the strongest baseline, AwareVLN; on persistent history backtracking the baseline scored 0% and Compass 1 scored 58%.