Applied & Human-Centered · Computer Science & AI
Robotics
The newest papers in Robotics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Learning the Task or Learning the Verifier? Rethinking Criteria Exposure in Embodied Self-Improvement
Self-improving embodied agents are increasingly being developed and compared on robot simulation benchmarks.GPWM: Modeling the World as 3D Particle Motion
We introduce GPWM, a Generative Particle World Model that predicts how 3D scenes evolve by generating the motion of particles and rigid bodies over time.USB Gym: A Gymnasium Testbed for Closed-Loop Ultrasound View Matching
Background and Objective: Our main goal is ultrasound guidance: moving a probe until its image matches a target view.Radio-to-Pose Information for Gauge-Drift Correction in Cooperative Localization
Cooperative localization uses odometry and inter-robot measurements to estimate the motion of a robot team.SHORE: Stability-Hybrid On-Policy Reinforcement Learning for Online Bin Packing
Online 3D bin packing with a processing buffer requires choosing which box to pack, its orientation, and its placement while keeping the stack stable under unknown future arrivals.VisionSIM: Beyond Idealized Sensors - A Multi-Modal Simulator for Robot Perception
Robotic perception increasingly relies on heterogeneous sensor suites combining cameras with emerging modalities (event, SPAD, iToF/dToF, and thermal).MOMASPLAT: Dynamic Novel-View Demonstration Augmentation for Mobile Manipulation
Visuomotor policies trained through imitation learning are highly sensitive to changes in camera viewpoint.SLA: Scaling Spatial-Language-Action Model via Continual Pre-training
Reliable robotic manipulation requires both semantic understanding and precise control in three-dimensional space.SCALE: Real-Time Latent Communication for Cyber-Physical Agents
Latent communication enables agents to collaborate efficiently by directly exchanging intermediate model representations rather than raw sensor data or text messages.A Multimodal Haptic Interface for Simultaneous Softness and Thermal Modulation
Haptic interactions, such as touching an object in virtual reality, involve detecting a plethora of sensations through the skin.Social Humanoid: Socially Responsive Human-Humanoid Interaction
Humanoid robots are typically trained as solitary agents, leaving them unable to coordinate physically with human partners who naturally anticipate and adjust to one another.T3R: Training-Free Two-Stage Token Refinement Towards Efficient and Robust VLA Models
Vision-Language-Action (VLA) models enable end-to-end robot control, but inference is increasingly expensive.Failure Prediction and Classification in Vision-Language-Action Models Via Calibrated Latent Probing
Vision-Language-Action models (VLAs) enable general-purpose embodied intelligence, but their performance is brittle under distribution shift, where unanticipated failures can damage equipment or…VFlash: Fast, Accurate Visual Planning via Flash Primitive Decoding
Models for physical AI tasks, such as robotics and autonomous driving, need not reason solely in language.Latent RL Priors for Data-Efficient Dexterous Manipulation
Learning dexterous manipulation from limited visual demonstrations is challenging because policies must acquire both perceptual grounding and precise control, while reinforcement learning (RL) in…OopsieRecover: Learning Transferable VLA Corrections from Semantic Interventions
Vision-Language-Action (VLA) models can perform a wide range of robotic manipulation tasks, but often fail during deployment.Closed-Loop Adaptive Sampling on a Generative Ocean Model
Adaptive sampling can substantially improve the value of sparse ocean observations by directing mobile robots toward measurements that are most informative for an evolving environment.ZipDrift: Generating Multimodal Short-Horizon MPC Costs with One-Step Drifting Models
Short-horizon model predictive control (MPC) is fast but myopic.WayPOP: A Panoramic Open-Set Panoptic Tracking Benchmark
Holistic perception for autonomous agents requires reliably segmenting and associating scene elements across time and camera views, including objects outside a fixed semantic taxonomy.RACE: Calibrated Cumulative Scoring for Rollout-Free Robot Policy Checkpoint Selection
Assessing the deployment performance of learned robot policies during training is challenging, as directly measuring task success requires costly real-world trials for each candidate checkpoint.