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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Newest papers, page 93
SafeInferCom: Safe Inference-Time Compute via Verifier-Guided Mid-Generation Intervention for Robotic Task Planning
Large Reasoning Language Models (LRLMs) enable multi-step reasoning for robotic task planning, but continued reasoning can overwrite valid intermediate plans or leave constraint violations…SimVLA: Zero-Shot Sim-to-Real VLA Learning for Mobile Manipulation
Large-scale, diverse datasets have driven the success of LLMs and VLMs.Being-M0.7: A Latent World-Action Model for Humanoid Robots
Humanoid loco-manipulation requires coordinated locomotion and manipulation informed by future scene evolution and whole-body motion, yet learning these capabilities is constrained by scarce robot…Distributed Relative Localization for Homogeneous Multi-Robot Systems through UWB Ranging and Limited Communications
Accurate and reliable relative localization is crucial for multi-robot applications like exploration, search, and rescue missions.USDCraft: Geometrically Grounded Programmatic Modeling of Articulated 3D Assets for Simulation
Geometrically faithful and functional articulated 3D assets are essential for real-to-sim robot manipulation, where policies trained in simulation must transfer to physical objects.PlanWAM: Planning-Shaped Future Representations for End-to-End Autonomous Driving
World models in end-to-end autonomous driving predict future scene evolution to provide foresight for trajectory planning.WAM-Cache: Staleness-Bounded KV Reuse for Efficient World Action Models
World Action Models (WAMs) enable generalist robot manipulation by conditioning an action expert on representations from a pretrained video Diffusion Transformer (DiT).Rewiring Semantics, Dynamics, and Control: A Simple yet Effective Action-Centric Tri-Stream Transformer
Vision-Language-Action (VLA) models have emerged as a prominent framework for complex robotic manipulation, building on the strong semantic understanding of pretrained Vision-Language Models (VLMs).Experience-Guided Initiation Search for Learned Skills in Skill Composition
Deploying frozen learned skills, such as Vision-Language-Action (VLA) policies, in new environments requires identifying initiation configurations that support reliable execution.RoboAware: Learning to Coordinate Embodied Skills from Counterfactual Outcomes
Embodied coding agents can combine modular robot skills with frozen end-to-end policies, yet effective composition requires anticipating which policy family will succeed in the current physical state.DAMP: Humanoid Locomotion via Denoised Belief Learning and Adversarial Motion Priors
Humanoid robots possess the structural capability to traverse complex terrains.WARP-VLA: Wrist-Camera Adaptation for View-Robust Policy Execution in Vision-Language-Action Models
Despite recent advances in Vision-Language-Action models (VLAs) for robotic manipulation, their performance remains sensitive to changes in camera configuration.RAGNAROK: Radar-Aided Gravity-Normalized Alignment for Robust Open Keyframe-based Radar-Visual-Kinematic-Inertial SLAM
Legged robots offer superior mobility in unstructured environments, but reliable operation in such conditions requires robust state estimation.CoCam4D: Geometry-Aware Cooperative 4D Perception for Camera-Only Autonomous Driving
Autonomous vehicles often suffer from limited perception due to occlusions, blind spots, limited sensor range, and the complex nature of surrounding environments.SDPAD: A Fully Spike-Driven Pipeline for End-to-End Autonomous Driving
End-to-end autonomous driving demands trajectory planners that are both highly accurate and cheap enough for edge deployment.Acting from Belief, Looking When Needed: A Bayesian Spatial World Model for Navigation under Intermittent Perception
Robot navigation commonly uses wide-coverage, high-frequency sensing to reduce partial observability; this reliance becomes restrictive when another task temporarily redirects a shared sensor from…Learning Language-Conditioned Traversability Representations for Adaptive Visual Navigation
Traversability is essential for visual navigation but varies with robot capabilities and user preferences.Neural Networks for Temporal Pattern Recognition and Dynamic Arm Gesture Speed Estimation for Robot Control
Deploying intelligent robotic systems that interact with humans through gestures requires neural networks capable of recognizing diverse temporal patterns.Scalable LEO Conjunction Screening using Adaptive Synthetic-Covariance Thresholds
As orbital populations grow, conjunction screening must search more object pairs for potential collision risks.YOCO: You Only Calibrate Once! Fast Mocap Calibration for Dexterous Teleoperation
Dexterous teleoperation requires reliable human-hand state estimations.