3 papers
cs.RO2026
FluxVLA Engine: A One-Stop VLA Engineering Platform for Embodied Intelligence
Yinhao Li, Weixin Mao, Zihan Lan +21
Vision-language-action (VLA) models, world-action models (WAMs), and offline reinforcement learning methods are rapidly expanding the design space of embodied policies, yet turning…
cs.RO2025
FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction
Yifan Yang, Zhixiang Duan, Tianshi Xie +8
Robotic manipulation is a fundamental component of automation. However, traditional perception-planning pipelines often fall short in open-ended tasks due to limited flexibility, w…
cs.RO2025
AcL: Action Learner for Fault-Tolerant Quadruped Locomotion Control
Tianyu Xu, Yaoyu Cheng, Pinxi Shen +1
Quadrupedal robots can learn versatile locomotion skills but remain vulnerable when one or more joints lose power. In contrast, dogs and cats can adopt limping gaits when injured,…