arXiv:2604.05828v1 Announce Type: new
Abstract: Precise aggressive maneuvers with lightweight onboard sensors remains a key bottleneck in fully exploiting the maneuverability of drones. Such maneuvers are critical for expanding the systems’ accessible…
arXiv:2512.04415v4 Announce Type: replace
Abstract: Physical feasibility in 3D bin packing is a key requirement in modern industrial logistics and robotic automation. With the growing adoption of industrial automation, online bin packing has gained in…
arXiv:2601.06748v3 Announce Type: replace
Abstract: Vision-Language-Action models have recently emerged as a powerful paradigm for general-purpose robot learning, enabling agents to map visual observations and natural-language instructions into execut…
arXiv:2604.05896v1 Announce Type: new
Abstract: As robots increasingly operate in shared, safety critical environments, acting safely is no longer sufficient robots must also make their safety decisions intelligible to human collaborators. In human ro…
arXiv:2604.06067v1 Announce Type: new
Abstract: Robotic imitation learning faces a fundamental trade-off between modeling long-horizon dependencies and enabling fine-grained closed-loop control. Existing fixed-frequency action chunking approaches stru…
arXiv:2604.03444v2 Announce Type: replace-cross
Abstract: Recent work has demonstrated the potential of non-transformer language models, especially linear recurrent neural networks (RNNs) and hybrid models that mix recurrence and attention. Yet there …
arXiv:2601.11652v2 Announce Type: replace-cross
Abstract: As Large Language Models (LLMs) become increasingly accessible to end users, an ever-growing number of inference requests are initiated from edge devices and computed on centralized GPU cluster…
arXiv:2604.05360v1 Announce Type: cross
Abstract: Gait analysis is essential in post-stroke rehabilitation but remains time-intensive and cognitively demanding, especially when clinicians must integrate gait videos and motion-capture data into structu…
arXiv:2603.14093v3 Announce Type: replace-cross
Abstract: As modern text-to-image (T2I) models draw closer to synthesizing highly realistic content, the threat of unsafe content generation grows, and it becomes paramount to exercise control. Existing …
arXiv:2603.23448v3 Announce Type: replace-cross
Abstract: Software engineering agents have shown significant promise in writing code. As AI agents permeate code writing, and generate huge volumes of code automatically — the matter of code quality com…