{ "id": "2505.06218", "version": "v1", "published": "2025-05-09T17:53:02.000Z", "updated": "2025-05-09T17:53:02.000Z", "title": "Let Humanoids Hike! Integrative Skill Development on Complex Trails", "authors": [ "Kwan-Yee Lin", "Stella X. Yu" ], "comment": "CVPR 2025. Project page: https://lego-h-humanoidrobothiking.github.io/", "categories": [ "cs.RO", "cs.AI", "cs.CV" ], "abstract": "Hiking on complex trails demands balance, agility, and adaptive decision-making over unpredictable terrain. Current humanoid research remains fragmented and inadequate for hiking: locomotion focuses on motor skills without long-term goals or situational awareness, while semantic navigation overlooks real-world embodiment and local terrain variability. We propose training humanoids to hike on complex trails, driving integrative skill development across visual perception, decision making, and motor execution. We develop a learning framework, LEGO-H, that enables a vision-equipped humanoid robot to hike complex trails autonomously. We introduce two technical innovations: 1) A temporal vision transformer variant - tailored into Hierarchical Reinforcement Learning framework - anticipates future local goals to guide movement, seamlessly integrating locomotion with goal-directed navigation. 2) Latent representations of joint movement patterns, combined with hierarchical metric learning - enhance Privileged Learning scheme - enable smooth policy transfer from privileged training to onboard execution. These components allow LEGO-H to handle diverse physical and environmental challenges without relying on predefined motion patterns. Experiments across varied simulated trails and robot morphologies highlight LEGO-H's versatility and robustness, positioning hiking as a compelling testbed for embodied autonomy and LEGO-H as a baseline for future humanoid development.", "revisions": [ { "version": "v1", "updated": "2025-05-09T17:53:02.000Z" } ], "analyses": { "keywords": [ "integrative skill development", "complex trails", "humanoids hike", "humanoid research remains", "robot morphologies highlight lego-hs versatility" ], "tags": [ "github project" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable" } } }