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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 170
Shaft-Configuration-Adaptive Catheter Tip Position Estimation via Motor-History Conditioned Residual Learning
Tendon-driven continuum manipulators are widely used in medical applications, where accurate tip-position estimation is essential for precise navigation and instrument positioning.SafeLoop: Risk-Aware Rollback for Vision-Language-Action Manipulation
Recent vision-language-action (VLA) models are promising for general-purpose manipulation, but long-horizon execution remains fragile.TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models
Embodied world models predict the outcomes of robot actions to support learning and planning.ArborSplat: Online Semantic Gaussian Splatting SLAM for Orchards
Orchard robots need maps that preserve small but semantically important structures such as trunks, trellises, and fruit.Leveraging Vision-Based Point Cloud Map Priors for Camera-Based 3D Object Detection and Online Vectorized HD Mapping
Camera-based 3D object detection and online vectorized HD mapping provide compact scene representations for autonomous driving, but both depend on accurate metric geometry and remain limited by…Hierarchical Floorplan-Guided Vision-Language Exploration for Embodied Question Answering
Embodied Question Answering (EQA) requires an agent to explore a previously unseen environment, gather relevant information, and answer questions about the scene.MAVP: Map-Aware Visuomotor Policies for Mobile Manipulation
Successful mobile manipulation requires coordinated base and arm motion while maintaining accurate spatial positioning.SparseNav: Instruction-conditioned Sparse Semantic Perception for Training-Free Vision-Language Navigation
Map-based vision-language navigation (VLN) relies on persistent spatial representations to connect language understanding with geometric planning.Sample, Simulate, Select: Physics-in-the-Loop Text-to-Motion for Humanoids Without Training
Text-to-motion models generate plausible human motion but do not model a robot's dynamics; whole-body tracking controllers execute robot references reliably but cannot replan an infeasible one.Dr-LiSA: Direct Radar-Lidar Scan Alignment for $SE(3)$ Localization
This paper introduces Dr-LiSA, a first-of-its-kind direct method for localizing 2D spinning radar intensity measurements in $SE(3)$ against 3D lidar maps.RouteRLT: Learning When and Which RL Specialist Should Control a Vision-Language-Action Policy
Vision-language-action (VLA) models provide broad manipulation competence, but often struggle during the precision-critical stages that dominate contact-rich industrial tasks such as connector…Benchmarking Robots for Everyday Environments: From Lab Experiments to Real-World Operations
This study introduces an interdisciplinary framework for benchmarking robots deployed in public environments, addressing the gap between traditional laboratory metrics and real-world benchmarking…Generalizing Manipulation Skills with a Local Coding Agent
Today, progress in open-weight language models enables systems capable of writing, executing and debugging code while still running on a single workstation.MATE: Multi-Agent Virtual Teleoperation Platform for Humanoid Collaboration Data Collection
Humanoid robots require diverse embodied experiences to acquire complex loco-manipulation and collaborative skills.Vision Foundation Models with Synthetic-Only Training for Monocular Spacecraft Pose Estimation
We present an improvement on previous spacecraft pose estimation architectures that results in the lowest published mean rotation errors we know of on the SPEED+ lightbox and sunlamp test sets for a…Learning Air-Ground Motion Control with Temporal Mode Switching and Cross-Terrain Tracking
Passive-wheeled terrestrial-aerial bimodal vehicles (TABVs) combine aerial mobility with energy-efficient ground locomotion.Beyond End-Task Success: How to Audit Visual Experience Retrieval in Robotics
Robots that store past experiences must select which one to reuse in a new scene.Wheel-loader V-Cycle Automation with Deep Koopman MPC
The repeated forward-reverse maneuvers performed by wheel loaders during earthmoving operations make them well suited for automation.NavSafe-$\infty$: Benchmarking Closed-Loop Driving Safety in Photorealistic Environments
End-to-end (E2E) driving policies have progressed rapidly on open-loop (OL) benchmarks, yet OL evaluation cannot reveal whether a policy withstands compounding errors, recovers from failures, or…Imperfection for Precision: Upcycling Imperfect Data for High-Precision Robotic Manipulation
Training vision-language-action (VLA) models for high-precision manipulation typically requires task-specific, high-quality data (e.g., teleoperation), which is slow and expensive to collect.