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1,589 papers
Automating biological research requires general-purpose, reproducible robot systems that allow individual wet-lab researchers to delegate robot tasks without performing teleoperation or neural-network training. Vision-language-action policies have been proposed for general-purpose arms, but can lose performance when th...
This work introduces Adaptive Agents via Latent Topologies (AALT), which requests demonstrations that maximize expected gains in start-goal connectivity and shows that this objective is formally tied to information gain about task reachability.
This work studies how much closed-loop driving competence a compact multimodal policy can acquire from offline demonstrations in the CARLA simulator, and reports offline metrics and distinguish measured results from qualitative closed-loop observations.
Under matched protocols on LIBERO and CALVIN, MPCoT improves long-horizon performance and support latent deliberation as a means of improving execution while preserving the action interface and generating no reasoning tokens.
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This paper automatically generates different robot low-level trajectory primitives to manipulate given object articulations and proposes a method based on Quality-Diversity algorithms that leverages sparse reward exploration in order to generate a set of diverse and high-performing trajectory primitives for a given man...
Recent advances in real-time interactive text-driven motion generation have enabled humanoids to perform diverse behaviors. However, kinematics-only generators often exhibit physical hallucinations, producing motion trajectories that are physically infeasible to track with a downstream motion tracking controller or uns...
FluxVLA Engine is presented, an open, configuration-driven platform that turns heterogeneous embodied-policy components into a reproducible data-to-deployment workflow and targets the engineering bottlenecks separating promising embodied-learning algorithms from reproducible evaluation and dependable deployment.
This framework surveys manipulation, navigation, locomotion, autonomous driving, and general embodied learning, tracing technical progressions, clarifying capability requirements, and examining datasets, benchmarks, and evaluation protocols.
ProxiDex is presented, a dynamics-guided proximity policy framework that treats hand-object proximity as an interaction state for dexterous manipulation, and adaptively reweights proximity tokens across manipulation phases and uses dynamics-consistency supervision to guide policy inference, stabilizing action generatio...
UDAV, an Uncertainty-Driven Adaptive VLM Waypoint Planner for UAV-guided UGV navigation is presented, demonstrating that stochastic VLM predictions provide both a stronger nominal route and an actionable uncertainty signal for selectively mitigating large planning errors.
AssemblyGrid v1 is introduced, a reproducible benchmark for repeated multi-robot production that combines explicit process progression, decentralized observations, material transfer, temporary multi-robot coalitions, productive concurrency, and geometry-dependent feasibility within one task-level formulation.
A third paradigm is introduced, VLM-as-probabilistic-grounder, a novel approach that captures the uncertainty of VLM predicate groundings as a probability distribution over symbolic states that enables planning in belief space and producing robust plans under uncertainty.
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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