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 120
SARI: Phase-Split Sim-Real Co-Training for Contact-Rich Manipulation
Vision-language-action (VLA) models often require costly real-world demonstrations to adapt to contact-rich manipulation tasks, particularly when generalization across object placements is needed.Learning Reflexive Behavior for Contact-Rich Manipulation
During contact-rich manipulation, interactions between a robot and its environment carry information about local geometry: a surface prevents penetration, a bore guides a peg.Register-Routed Delayed Fusion: Rewiring Shortcut-Prone Observation Fusion in Visuomotor Imitation
Visuomotor imitation policies combine high-dimensional visual observations with compact signals such as proprioception, and their fusion topology determines when and through which tokens these…FastOPD: On-Policy Distillation for Lightweight VLA Deployment
Vision-Language-Action (VLA) foundation models have scaled rapidly to enhance manipulation performance and generalizability, but this scaling incurs high computational costs that render real-world…PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation
World action models jointly learn to forecast world dynamics and predict robot actions, such that the learned internal world dynamics guide accurate actions.Permutation Robustness Is Not Enough: Action Collapse in Multi-Agent Transformer Policies
Transformer policies are attractive for multi-agent robot learning because self-attention can model interactions among agents.SceneFactory-3D: Lifting 2D Traffic Scenes into 3D Physical Counterfactuals for Scalable Physically Grounded Safety Evaluation
Scalable driving simulators typically execute vehicle commands using prescribed behavioral or kinematic rules, overlooking the physics of tire-road interfaces, thereby limiting their ability to…MixVLA: Adaptive Mixing of Non-Invariant Information for Generalizable Vision-Language-Action Models
Vision-Language-Action (VLA) models have achieved remarkable advances in robotic manipulation, yet their zero-shot generalization under out-of-distribution (OOD) conditions remains limited.From Language Priors to Field Adaptation: Preference Learning for Traversability Estimation
Image-based traversability estimation is inherently dependent on the robot platform, deployment domain, and mission preferences, which limits the applicability of purpose-trained models.On Representational Alignment among Embodied Agents
Embodied agents interacting with the same physical process may maintain heterogeneous, asynchronous, and observer-relative representations.Subject-Specific Predictive Musculoskeletal Simulations of Lower-Limb Exoskeleton Assistance: Metabolic and Biomechanical Effects of Joint Assistance Strategies
Lower-limb exoskeletons have made considerable progress in reducing energy expenditure during walking.RYOPO: Bringing End-to-End Category-Level Object Pose Estimation into Real Time
Category-level object pose estimation predicts the rotation, translation, and metric size of unseen instances within known categories.OmniAct3D: Leveraging Foundation Geometry and Evidence-Grounded Reasoning for Panoramic 3D Detection
Accurate 3D detection is essential for mobile embodied agents, while Vision Foundation Models (VFMs) offer transferable visual and geometric priors.CrowdOcc: Monocular Semantic Scene Completion for Quadruped Robots in Crowded Indoor Environments
Monocular semantic scene completion (SSC) for quadruped robots remains underexplored in real crowded indoor environments, where human-scene occlusion disrupts static geometry and human occupancy…How to Find and Reuse Policies for Continuous Adaptation in Lifelong Reinforcement Learning
In lifelong reinforcement learning, retaining previously learned policies is not sufficient for effective transfer to a new task.Safe Streaming Flow Planning by Aligning Sampling Dynamics with Execution Dynamics
Generative planners based on diffusion/flow matching can learn to synthesize long-horizon trajectories from demonstrations.Beyond Reward Hacking: Proxy Divergence Across Four Layers of a Staged Humanoid Learning Pipeline
A reinforcement-learning (RL) pipeline for a legged robot is assembled from proxies.EmbPASS: Towards Cross-Embodiment Open Panoramic Segmentation
Panoramic images provide a complete 360-degree field of view, enabling comprehensive scene understanding for embodied perception.Self-Repairing Recurrent Ensembles for Real-Time Recovery from Distribution Shift
Deploying a pretrained controller exposes it to conditions that are absent from its training data.DexJoCo-X: Benchmarking Action Representations for Multi-Hand Dexterous Manipulation
As dexterous hands proliferate, collecting data and training policies separately for every morphology becomes increasingly impractical.