cs.RO

Precise Aggressive Aerial Maneuvers with Sensorimotor Policies

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…

cs.RO

On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning

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…

cs.CL, cs.LG

Olmo Hybrid: From Theory to Practice and Back

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 …

cs.AI, cs.SE

Code Review Agent Benchmark

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…

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