arXiv:2605.14683v1 Announce Type: new
Abstract: High-resolution seafloor mapping necessitates stable and precise positioning for underwater robots. This paper introduces a novel mathematical model for SeaVis remotely operated towed vehicles (ROTVs) an…
arXiv:2604.19092v2 Announce Type: replace-cross
Abstract: Recent advances in large-scale video world models have enabled increasingly realistic future prediction, raising the prospect of using generated videos as scalable supervision for robot learnin…
arXiv:2605.14712v1 Announce Type: new
Abstract: Robot imitation data are often multimodal: similar visual-language observations may be followed by different action chunks because human demonstrators act with different short-horizon intents, task phase…
arXiv:2605.11459v2 Announce Type: replace-cross
Abstract: Vision-Language-Action (VLA) models achieve remarkable flexibility and generalization beyond classical control paradigms. However, most prevailing VLAs are trained under a single-frame observat…
arXiv:2507.04049v4 Announce Type: replace-cross
Abstract: Most end-to-end autonomous driving methods rely on imitation learning from single expert demonstrations, often leading to conservative and homogeneous behaviors that limit generalization in com…
arXiv:2605.14832v1 Announce Type: new
Abstract: We present a flow-matching planner for autonomous driving that directly outputs actionable control trajectories defined by acceleration and curvature profiles. The model is conditioned on a bird’s-eye-vi…
arXiv:2605.14950v1 Announce Type: cross
Abstract: Vision-Language-Action models have emerged as a promising paradigm for robotic manipulation by unifying perception, language grounding, and action generation. However, they often struggle in scenarios …
arXiv:2605.14911v1 Announce Type: new
Abstract: High-fidelity physics simulation is essential for closing the sim-to-real gap in robotics and complex mechanical systems. However, the computational overhead of high-fidelity engines often limits their u…
arXiv:2605.14920v1 Announce Type: new
Abstract: Efficient UAV exploration in unknown environments requires rapid coverage expansion while maintaining accurate and reliable localization, since safe navigation in complex scenes depends on consistent map…
arXiv:2605.14944v1 Announce Type: new
Abstract: With the growth of the construction industry and the global shortage of skilled labor, the automation of crane control has become increasingly important for safe and efficient operations. A central chall…