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 76
Breaking the Average: Overcoming Convergent Defaults in Robotic Manipulation via Diagnostic Chain-of-Thought and Structured Guidance
Recent Vision-Language-Action (VLA) models, such as $π_{0.5}$, have demonstrated impressive generalization capabilities by scaling behavior cloning across massive datasets.TRACE: Efficient Transfer Learning for Neural Whole-Body Control Across Humanoid Embodiments
Humanoid behavior foundation models (BFMs) enable diverse whole-body control, but adapting a pretrained controller to a new embodiment remains challenging because of kinematic and dynamic mismatch.Data-Free Continual Learning for World Action Model with Rectified Generative Replay
World action models (WAMs) built on pretrained video generation models adapt quickly to new robotic tasks, but they forget previously learned tasks under sequential fine-tuning.Contractor Filters
We introduce Contractor Filters (CFs), a set-membership architecture for nonlinear continuous-time state estimation with bounded uncertainties and sporadic outliers.LADDER: A Long-Horizon Robot Manipulation Benchmark
General-purpose robot manipulation policies learn short-horizon skills effectively, but degrade rapidly on long-horizon tasks.LynxScenes: A Large-Scale Real-World Benchmark for Outdoor Wheel-Legged Robot Perception, Navigation, Imagination and Reconstruction
Wheel-legged robots operating in outdoor spaces shared with humans require accurate perception, socially compliant navigation, future-scene reasoning, and scene reconstruction.ForeTac: Predictive Contact Guidance for Generative Robot Policies
Visually similar actions can produce contact loss, jamming, slippage, or irreversible damage, while tactile feedback may arrive after a critical transition.MARTS: A Modular Agricultural Robot for Targeted Spraying of Diseased Tomato Plants in Greenhouses
Broadcast spraying remains the dominant method of disease control in greenhouse tomato production, yet it treats healthy and diseased tissue alike, exposes workers to hazardous aerosols, and depends…SkipWorld: Latent Skip Planning with Distilled World Models for Efficient Visual Navigation
World-model-based visual navigation enables action planning by predicting future states under candidate trajectories.Walk Like This: Stylized Locomotion for Physics-Based Characters through Example-Driven Diffusion
We present a real-time framework for expressive legged locomotion that enables independent control over velocity and style.Force Sensor-Based Picking Pattern Analysis and Two-Jaw Gripper Design for Cherry Tomato Robotic Harvesting in Greenhouse
Robotic harvesting of cherry tomatoes in greenhouses remains challenging due to dense fruit clusters, delicate skin, and the need for gentle yet effective detachment.RESTA: Time-Scaling Augmentation for Data-Efficient Robot Imitation Learning
Robot manipulation policies trained through imitation learning commonly rely on costly demonstrations recorded in one task direction and at one temporal resolution.Beyond Planning: Differentiable Control-in-the-loop End-to-End Autonomous Driving
End-to-end autonomous driving has achieved remarkable progress by planning trajectories directly from raw sensor data.Assessing the Quality of Concrete Scenarios Generated from Scenario Classes for Automated Driving
A scenario-based development approach has become state of the art for automated driving systems.OneDemo: Unified Policy Learning and Data Generation from a Single Demonstration
Learning robot policies from demonstrations is often limited by the cost of collecting diverse, high-quality expert data.Cross-Embodiment Affordance Transfer for Robotic Manipulation
Robotic manipulation systems commonly learn object affordances from human-annotated datasets, which reflect interaction possibilities for a human hand rather than the physical constraints of a…I2O2I-Nav: A Benchmark with a Modular Agent for Long-Horizon Indoor-to-Outdoor-to-Indoor Navigation
Service and delivery robots often need to complete long-horizon navigation missions spanning indoor and outdoor environments.CoSMO: Conformal Semantic Mapping for Open-World Safe Robot Navigation
Safe autonomous navigation requires not only geometric obstacle avoidance but also semantic awareness.Let the Mind Conceive, Let the Hand Achieve: Following Multimodal Instructions for Long-Horizon Robotic Manipulation
A robot following a multi-step instruction needs to act on the right objects in the right order, even as the scene changes.Visual Sevoing from Lines
In this work, we present a fundamentally new approach to visual servoing using lines.