arXiv Machine Learning By Loukas Kordos, Leonard T. Franz, Simon Rappenecker, Oliver Hausdoerfer, Angela P. Schoellig, Pavel Kolev, Georg Martius

LoComposition: Terrain-Adaptive Energy-Efficient Quadruped Locomotion without Gait Priors

Read the original on arXiv Machine Learning →

arXiv:2606. 15896v1 Announce Type: cross Abstract: Learning-based quadrupedal locomotion typically relies on complex reward formulations that entangle task specification, operational limits, gait preference, and terrain adaptation within a single optimization objective.

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