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cs.RO2026
Trusting Imagined Futures: Auditing Imagined Rewards for VLA Post-Training
Zicheng Kong, Zhenbo Xu, Haoyan Zhang +7
Video world models enable candidate actions to be evaluated through imagined outcomes, but high predicted rewards can favor trajectories with poor execution quality. We introduce T…
cs.RO2026
SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents
Huaigang Yang, Ya Li, Min Ren +3
Vision-language models (VLMs) are increasingly used as the reasoning backbone of embodied agents, enabling robots to interpret visual scenes, follow language instructions, and plan…