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 173
CARE: Experience-Guided Atomic Corrective Execution for Vision-Language-Action Policies
Vision-Language-Action (VLA) policies achieve strong performance in robotic manipulation but remain brittle once execution deviates from nominal trajectories.ActiveArena: Benchmarking and Understanding Active Perception in Robotic Manipulation
Active perception and manipulation are crucial for robots to interact with complex scenes.Phrase-Level Robotic Guqin Performance: Bimanual Motion Planning and Audio-Tactile Interaction Monitoring
Recent advances in humanoid robotics and embodied intelligence have enabled robots to perform increasingly complex manipulation tasks.BayesianGS-SLAM: Uncertainty-Aware Neural Rendering SLAM via Probabilistic Formulation
Neural-rendering-based SLAM relies on rendered RGB-D residuals for camera tracking and map optimization, but the reliability of these predictions can vary substantially because of sensor noise…MimicAgent: Quadruped Skills via Prompt-to-Trajectory Generation
We present MimicAgent, a prompt-to-trajectory generation framework for learning dynamic quadruped skills.Object-Centric Conditioning for Visuomotor Flow Matching
Robot visuomotor policies are commonly formulated as autoregressive, diffusion-based, or more recently, flow matching models.GraspTune: Tactile-Driven Execution Refinement for Robust Grasping
Visual grasp proposal generation has advanced rapidly, yet converting a selected proposal into a stable physical grasp remains a central execution-stage challenge.StenoVLA-3D: 3D-Aware Reasoning VLA for Navigation Through Gastrointestinal Stenoses
Autonomous endoscopic navigation requires the policy model to predict actions from texture-poor monocular observations, make safe control decisions, and retain evidence of lesions after they leave…A Topological Representation with Object-Path Graphs for Open-Vocabulary Instance Navigation
Vision-language navigation requires embodied agents to navigate environments using natural language instructions and visual observations.Odometry-Aided Real-Time Mapping for Underwater Robots Using Forward-Looking Sonar
Reliable perception is essential for underwater vehicles operating in complex environments, where light attenuation and scattering often degrade visibility and compromise optical sensing.Audio-based UAV Localization with Adaptive Temporal Correspondence via Reinforcement Learning
Audio-based localization provides a low-cost and illumination-independent sensing solution for anti-UAV early warning.OpenFlyScan: A Quality-Guided Aerial Reconstruction System for Consumer Drones
3D Gaussian Splatting (3DGS) provides high-fidelity scenes for large-scale embodied simulation, but constructing large-scale urban assets remains constrained by expensive equipment and delayed…ME-Brain-1.0: Memory, Cognition and Action for Evolving Embodied Intelligence
Current embodied systems largely rely on pretrained capabilities that remain fixed after deployment, limiting their ability to learn from physical interaction.vla.simd: Efficient CPU Inference for Language-Conditioned Manipulation
Deploying language-conditioned manipulation without a dedicated GPU requires efficient inference and action chunks that cover the delay between policy queries.AnalogDepth: Multi-view Geometry from FPV drones under Analog Video Transmission
Analog video transmission (VTX) remains widespread in FPV drones due to low latency, weight and low cost.Performance-Preserving Online Adaptation in Social Navigation via Diffusion Steering
In social navigation, modeling the complex interactions between humans and robots is difficult, and deep reinforcement learning has therefore been actively studied.LIBERO-VPro: Benchmarking Closed-Loop Visual Robustness of Robotic Foundation Models
Robotic foundation models achieve impressive performance on standard manipulation benchmarks, yet these evaluations typically assume clean, timely, and consistent visual observations throughout…Multi-Agent Transportation of Free-Flyers in Microgravity Via Pushing Interaction Under Human-in-the-Loop Control
We propose a safety-critical framework for the cooperative transportation of passive targets in microgravity, where a team of chaser robots acts through unilateral pushing contacts to track a…Tactile-JEPA: Topology-Aware Self-Supervised Representation Learning for Distributed Tactile Sensors
Tactile sensing is an essential modality for robots performing contact-rich, dexterous manipulation, particularly under visual occlusion.Zeva-Ego: Egocentric Mid-Training with In-Context Causal Learning for Robot Manipulation
Egocentric video offers a scalable source of physical interaction experience, yet translating it into robot-executable knowledge and enabling continual adaptation remain challenging.