3 papers
cs.RO2026
F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement
Zhuoyuan Yu, Jiacheng Wang, Tianle Liu +13
The real-world performance of current vision-language-action models is fundamentally constrained by the limited coverage of expert demonstrations and their insufficient understandi…
cs.RO2026
Skytopia: Monocular Drone Navigation with Action-Conditioned Latent World Models
Yuhang Zhang, Rangya Zhang, Yujing Shang +6
Monocular drone navigation requires reaching a goal in an unseen environment from a single forward-facing camera, which offers few cues for depth and scale. World models address th…
cs.RO2026
GaussFly: Contrastive Reinforcement Learning for Visuomotor Policies in 3D Gaussian Fields
Yuhang Zhang, Mingsheng Li, Yujing Shang +4
Learning visuomotor policies for Autonomous Aerial Vehicles (AAVs) relying solely on monocular vision is an attractive yet highly challenging paradigm. Existing end-to-end learning…