AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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1,589 papers
This work understands robots in public spaces not in terms of autonomy or intelligence, but as a relational capacity, which implies designing robots not in the authors' image or for their utility, but grounded in their needs in being and becoming together.
The proposed Markov Chain Car-Following (MC-CF) model provides a robust and scalable foundation for simulating population-level stochastic traffic behavior that requires no behavioral parameter calibration, making it well-suited for the data-rich future of intelligent transportation.
It is found that most baselines drastically degrade in performance, as they require significant overlap between viewpoints, while AnyView maintains the ability to produce realistic, plausible, and spatiotemporally consistent videos when prompted from $\textit{any}$ viewpoint.
This paper approximate the stationary Hamilton--Jacobi value function using a neural network trained via a combination of physics-informed and sparsely supervised learning and proposes VertexCBF, a framework for learning neural CBFs in a scalable, systematic, and explainable way.
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Robion is designed, the first VLA serving and management system for multi-robot, multi-model requests on multi-GPU edge servers that meets SLOs and enables flexible model placements on multi-GPU servers, and integrates an intelligent traffic controller.
Increasing safety is the primary objective of automated vehicles. Achieving this goal requires reliable safety metrics that incorporate safety-relevant factors such as object type, velocity, and criticality. A key capability of such metrics is the distinction between critical and non-critical objects, which is addresse...
CLAP is a framework for cross-embodiment action-conditioned video generation capable of being trained on diverse, internet-scale videos across human and robotic agents and delivers the most comprehensive suite of action-conditioned video world models to date.
The Self-Corrective Multi-Agent Refinement Framework is proposed, which decouples physics-aware error correction from code generation through specialized agents and nearly triples the physical-assertion pass rate of the best proprietary baseline and retains its advantage under cross-engine transfer.
Occlusion-Aware Next-Best-View Planning for Human-Centered Active Perception on Mobile Robots (OA-NBV), an occlusion-aware NBV pipeline that autonomously selects the next traversable viewpoint to obtain a more complete view of an occluded human.
DropVLA is presented, an action-level backdoor attack that forces a reusable action primitive to execute at attacker-chosen decision points under a realistic pipeline-black-box setting with limited data-poisoning access, using a window-consistent relabeling scheme for chunked fine-tuning.
How to endow aerial robots with the ability to operate in close proximity remains an open problem. The core challenges lie in the propulsion system’s dual-task requirement: generating manipulation forces while simultaneously counter-acting gravity. These competing demands create dynamic coupling effects during physical...
In urban search and rescue, articulated tracked robots (ATRs) must traverse structured but contact-rich environments such as stairwells and cluttered building interiors. Reliable autonomy remains challenging because robot-terrain interaction (RTI) is hybrid and discontinuous, and effective flipper-track coordination is...
A Blog post by Ai2 on Hugging Face
A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
Discover Gemini 4 Argon for robotics: leading the ERQA benchmark with physical reasoning, zero-shot control, Real2Sim, and agentic workflows.
Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. The post Offloaded inference for real-world physical AI robotics appeared first on Microsoft Research.
A Blog post by Amazon on Hugging Face
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