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 54
Humanoid SRL: Augmenting Humanoids with Supernumerary Limbs for Coordinated Loco-Manipulation
Humanoid robots are envisioned to perform diverse human-level tasks through their anthropomorphic morphology.Where Do the Gaussians Go? Foreground Attraction for Camera-Based Weakly Supervised 3D Occupancy
Camera-based 3D semantic occupancy models can be trained without 3D labels by rendering their predictions into the images and supervising them with 2D pseudo labels.SteerAct: Unlocking Action Models through Few-Shot Temporal Steering
Improving pretrained robot action models at test time from only a few rollouts remains challenging.TNVD-SC: Diagnosing Scan Context Failures in Forests with Terrain-Normalized Vertical Distributions
Long-term LiDAR place recognition in forests is difficult because repetitive vegetation and uneven terrain create severe structural aliasing.InteractAgent: Agentic Human Motion Interaction with Memory-Augmented Reflection
Long-horizon human-scene interaction requires coordinated spatial reasoning, physical feasibility, and the ability to recover from compounding execution errors.SpaRV: Sparse Radiance Voxels for Scalable Geometrically Consistent LiDAR-Visual Mapping and Rendering
Robotic simulation, navigation, and inspection need photorealistic and geometrically accurate maps.Revealing and Bridging the Physical Executability Gap in Vision-Language Navigation
Continuous vision-and-language navigation (VLN) is typically evaluated by goal-reaching success, assuming it reflects an agent's ability to execute language-grounded behavior.Vehicle-State-Aware Confidence Estimation for Direct Wind Sensing on a Multirotor
Direct wind sensing from a multi-rotor UAV enables localized atmospheric measurements, but the reliability of the anemometer depends on vehicle motion.ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
We study language-conditioned local navigation, where a robot must navigate to a text-specified target visible in its initial observation and stop at the described location.ReDOA: Real-World Distillation via Observation Alignment for Image-Based Manipulation Policy Learning
Data-driven learning for general-purpose robotic manipulation presents a fundamental trade-off between data-collection cost and adaptability to real-world environments.Progress-Guided Preference Generation for Aligning Generative Control Policies
Generative policies have achieved strong performance in imitation learning tasks, but their success is often constrained by the limited availability of expert demonstrations.Validation of Human Motor Development Scales with Humanoid Robots
We investigate how humanoid robots can learn a series of motor skills defined by human infant motor development scales, and we evaluate which scales are comprehensive enough to serve as…SWAP: Test-Time Steerable Humanoid Whole-Body Collision Avoidance
Humanoid robots operating in human-centric environments must coordinate the entire body to traverse tight, cluttered spaces while maintaining balance.Enhancing Lunar PNT Performance Through Surface Station Enabled Radiometric Observables
Future lunar surface missions require reliable positioning for autonomous rover operations.Think Densely, Act Sparsely: Latent Expert Cognitive Chains for Vision-Language-Action Autonomous Driving
Autonomous driving fundamentally demands dense understanding of visual, semantic, and geometric information, yet existing Vision-Language-Action (VLA) models are typically trained with sparse…Learning from Fleet Experience: Collective Experience Learning Across 96 Robots
Robot deployment generates experience that can support policy improvement, but continued reliance on expert corrective actions makes learning difficult to scale across growing fleets.TrajWAM: An Efficient Trajectory-Guided World Action Model for Dynamic Robotic Manipulation
Dynamic object manipulation requires robots to anticipate target motion while replanning fast enough to avoid executing outdated actions.Long-Horizon Multi-Object Rearrangement via Distilled Tree Search over Continuous Actions
Despite recent advances in policy learning, long-horizon manipulation remains difficult because learned policies must avoid compounding errors while preserving future feasibility.OV-PEAR: Observation-Verified Pose-Scale Estimation and Reconstruction for Unknown Industrial Manipulation Objects
Fine industrial robotic manipulation requires 6D pose, scale, and an operation-ready 3D model.AeroIntent: A Synchronized Multimodal Benchmark for UAV Mission Intent Recognition
Reliable recognition of mission-level UAV intent from multimodal observations is essential for low-altitude airspace surveillance and security.