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LAW, a closed-loop VLM--WAM framework that unifies language reasoning, action generation, and world modeling through semantic subtask progress, is presented, establishing a new open-source state of the art on RoboTwin.
This work introduces a shared visual action interface, called action views, which render target joint configurations from four prescribed virtual cameras using URDF-based forward kinematics, and proposes a training-free, URDF-constrained multiview recovery mechanism, without a learned embodiment-specific decoder.
In this technical report, we propose Pelican-Sim 1.0, a general world model simulator for embodied intelligence that predicts future observations from visual context and robot actions to support downstream learning and decision making. The model incorporates four key design features: (1) Unified action representation:...
This work proposes TrustRoboReward, a multi-paradigm reward modeling framework equipped with Preference-Ordered Isotonic Score Editing (POISE), and constructs a unified four-paradigm dataset with trajectory progress scoring, video-QA answer quality scoring, and their pairwise counterparts.
VLA-Trace is presented, a progressive diagnostic framework that analyzes VLA models through a unified evidence chain from representation dynamics to causal control attribution and behavioral manifestation to highlight future directions for representation-preserving adaptation, causal VLA circuits, and compositional sem...
A unified generative framework that leverages pre-trained Diffusion Transformer priors to achieve high perceptual quality at extremely low bitrates, achieving state-of-the-art perceptual fidelity with rich spatial details and robust temporal consistency.
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