This work presents RoboInter1.5, an extended and holistic suite of intermediate representations for both robotic manipulation and embodied world modeling, and introduces RoboInter-World, which leverages intermediate representations as structured conditioning signals for controllable prediction of future world states.
Ziqin Wang, Hao Li, Weijun Wang et al.· arXiv.org· 0 citations
Xpolicylab is released as shared infrastructure for reproducible policy comparison and standardized deployment across simulation and physical platforms for reproducible policy comparison and standardized deployment across simulation and physical platforms.
InternVLA-A1.5 is presented, which builds the policy on a native VLM backbone that keeps training on VQA and subtask prediction, and attaches a lightweight unified expert for continuous action generation, and achieves the best overall results on all six simulation benchmarks.