3 papers
cs.RO2026
Ontology-Grounded World Models for Failure Diagnosis and Closed-Loop Repair in Physical AI Systems
Kailin Wang, Haoxiang Jie, Yaoyuan Yan +2
EV-WM represents candidate quality with feature and event scores, but these scores do not explicitly record an unmet task predicate, a route label for an available correction mecha…
cs.RO2026
EV-WM: Event-Verified World Models for Long-Horizon Robotic Manipulation
Kailin Wang, Haoxiang Jie, Yaoyuan Yan +2
Pretrained-feature world models provide a useful substrate for robot imagination, but visual or latent prediction alone does not determine whether an imagined future satisfies task…
cs.RO2026
OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RL
Haoxiang Jie, Yaoyuan Yan, Xiangyu Wei +4
Visual-Language-Action (VLA) models represent a paradigm shift in embodied AI, yet existing frameworks often struggle with imprecise spatial perception, suboptimal multimodal fusio…