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The paper introduces DECOWAM, a decoupled whole-body world-action model for legged mobile manipulation that improves video and action prediction performance over existing models like FastWAM through dedicated conditional interfaces and a new dataset.
Xiaomi released XR-1, a robot foundation model trained on over 100K hours of real-world manipulation trajectories. Built on Qwen3-VL and a Diffusion Transformer, it enables out-of-the-box mobile manipulation in unseen environments.
Unitree releases UnifoLM-OminiA-0.3, a single AI model for whole-body mobile manipulation with real-time omni-modal interaction, enabling autonomous home-care and wellness tasks.
LimX Dynamics released COSA 0.5, an update to its humanoid brain system featuring a long-take demonstration of fully autonomous mobile manipulation without teleoperation, advancing humanoid robot autonomy.
ABot-M0.5 is a new World Action Model for mobile manipulation that improves performance through temporal granularity alignment, action space disentanglement, and train-test consistency, achieving state-of-the-art results on long-horizon and fine-grained manipulation benchmarks.
EBench is a diagnostic benchmark for generalist mobile manipulation policies, providing a multi-dimensional profile across 26 tasks and 4 generalization axes, revealing structural strengths and weaknesses beyond aggregate success rates.