Papers

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Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation

Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation

Luca Zanatta, Grzegorz Malczyk, Kostas Alexis · arXiv preprint · Jun 2026

World models, learned generative models that predict how an environment evolves, have become a promising tool for sample-efficient robot learning. Yet how robust they are to environmental variability remains poorly understood. To address this, we conduct a systematic study using vision-based quadrot...

sim-to-real reinforcement-learning navigation vision world-models
PDF Advanced
No code repo Jun 2026
GuideWalk: Learning Unified Autonomous Navigation and Locomotion for Humanoid Robots across Versatile Terrains

GuideWalk: Learning Unified Autonomous Navigation and Locomotion for Humanoid Robots across Versatile Terrains

Haoxuan Han, Chen Chen, Linao Gong et al. · arXiv preprint · Jun 2026

Humanoid robots have achieved strong locomotion capabilities, but reliable navigation on versatile terrains remains challenging because obstacle avoidance must be coordinated with dynamically feasible motion. In this work, we present GuideWalk, a unified end-to-end framework that integrates traversa...

humanoid navigation locomotion
PDF Intermediate
No code repo Jun 2026