AI RESEARCH
LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design
arXiv CS.AI
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ArXi:2604.08636v1 Announce Type: cross Designing robot morphologies and kinematics has traditionally relied on human intuition, with little systematic foundation. Motion-design co-optimization offers a promising path toward automation, but two major challenges remain: (i) the vast, unstructured design space and (ii) the difficulty of constructing task-specific loss functions.