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 66
SPEAR: Selective Preference Elicitation with Adaptive Rewards for VLM-Guided Robotic Manipulation
Recent Vision-Language Models (VLMs) enable automated preference labeling for robotic manipulation, yet their deployment remains impractical since each query incurs substantial inference cost, while…Diffeomorphic Hidden-State Steering: Improving Imitation Learning Policy Robustness through Expert Hidden-State Geometry
Small observation or action errors can compound during closed-loop execution and disrupt a trained imitation learning policy.MAIA: Anticipating Interaction Anomalies in Contact-Rich Manipulation via Multimodal World Models
Reliable contact-rich manipulation requires detecting execution deviations early enough for corrective action.Uni-PNP: Unified Prehensile and Non-prehensile Policy Learning for Generalizable Object Pose Reaching
Object manipulation often requires combining non-prehensile actions with grasping.Comfortably Stuck: Evaluation Pitfalls in Bench2Drive's Closed-Loop Protocol
Closed-loop evaluation is widely regarded as a more faithful way to assess end-to-end (E2E) driving models than open-loop evaluation, and Bench2Drive, built on the CARLA simulator, has become the…DeciCAD: Harness-Grounded Learning of Action Policies for CAD Agents
Large Language Model agents operate through closed-loop action policies whose decision space is defined by an agent harness.Trajectory-based Diffusion from One-shot Human Video for Generalizable Manipulation
Imitation learning enables robots to perform complex tasks by leveraging human-collected demonstrations.Cross-Embodiment Causal Transfer from Human Videos to Robot Manipulation
Scaling robot manipulation models requires large amounts of interaction data, yet collecting diverse real-robot experience remains costly.Time-Optimal Ergodic Retrieval
Retrieval tasks are a form of search task where a robot must explore, find an object, and return with it as quickly as possible.MAGMA: Multiplier-Augmented Geometric Motion Algorithm
Solving optimal control problems for high-dimensional mechanical systems subject to constraints remains challenging due to nonlinear dynamics and non-convex feasible sets.Sub-Millisecond Reflexes for Continuous Physical Human-Robot Interaction
Continuous physical human-robot interaction requires robots to rapidly adapt their control behaviour without interrupting task execution.What Should Robot Policies Learn to Predict? Rethinking Supervision Targets in Vision-Language-Action Learning
Vision-language-action (VLA) policies are typically trained with action prediction as the primary supervision signal, since robots ultimately execute actions.TS-WAM: Temporal Latent Actions and World-Action Coupling for Vision-Language Robot Control
Many vision-language-action policies rely on action-labeled robot demonstrations and lack an explicit mechanism for predicting future visual states.De-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital Twins
Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbit repair.Perceptual Comparisons of Viscoelastic Renderings: Fractional- vs Integer-Order Models
Realistic haptic rendering of viscoelastic materials requires reproducing time-dependent behaviors such as creep and stress relaxation, which arise from the material's inherent memory effects.Towards bio-inspired visual navigation: a neuromorphic navigation paradigm for MAVs
Biological visual navigation achieves remarkable robustness at extremely low power, whereas frame-based robotic systems relying on artificial neural networks remain limited in both respects…GRID-Planner: Graph-Structured Relational Reward Shaping for Diffusion Planning
Autonomous driving planning requires selecting trajectories that remain safe, rule-compliant, and comfortable under complex multi-agent interactions, yet robust closed-loop decision making in…VeriVLA: Adaptive Test-Time Verification for Flow-Based VLAs with Latent World Models
Flow-based Vision-Language-Action (VLA) policies are inherently stochastic: different noise seeds can produce action chunks of varying quality from the same observation.VP-EVT: Active Visibility Preservation for Embodied Visual Tracking
Embodied Visual Tracking (EVT) is an essential capability for intelligent robots in human-robot collaboration, requiring an agent to follow a designated target person in dynamic environments relying…DemoStream: Batched Task-and-Motion-Plan Optimization for Automated Learning from Demonstration
Learning from demonstration is an effective strategy for endowing robots with manipulation capabilities but requires training on datasets comprised of massive amounts of demonstrations.