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 69
NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation
Reliable recognition of accessibility-critical objects (e.g., audible pedestrian signals, door-activation buttons, and handrails) is essential for assistive navigation technologies that support…Probabilistic Physics Digital Twin for Human-Robot Interaction
Digital twins are increasingly used in robotics to simulate interactions, predict action outcomes, and support planning.VLX-Go: Robust Embodied Tracking through Multi-Stage Learning and On-Policy Refinement
Embodied visual tracking requires a robot to identify a designated target from visual observations and control its own motion to follow that target through an environment.Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory
Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities.Beyond Kinematic Tracking: Preserving Expressive Characteristics in Humanoid Whole-Body Control
Whole-body control plays a crucial role in enabling humanoid robots to execute expressive motions.A Master-to-Simulation Interface with Demonstration-Trajectory Guidance for Vascular Intervention
Robotic vascular intervention can reduce radiation exposure to physicians and improve manipulation stability, but effective guidance remains challenging because conventional fluoroscopic images…Topology-Preserving Multi-Usage Pipe Centerline Refinement under Permanent Tubular Occupancy
Discrete multi-group pipe routers place channels on a grid or coarse graph.A VR Training System for Robot-Assisted Vascular Intervention with Dual-Mode Control and Model-Based Interaction Response
Virtual reality training for robot-assisted vascular intervention requires accurate robotic control and effective feedback on guidewire--vessel interactions.From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents
Simulated environments enable scalable training data generation for embodied agents, but more data does not necessarily provide what a particular agent needs to learn.$S^3$-Nav: Structured Spatial-Semantic Decision Making for Language-Guided Robot Navigation
This paper presents $S^3$-Nav, a structured spatial-semantic decision-making framework for language-guided robot navigation under partial observability.Paraphrase Consensus Is Not Self-Consistency: Instruction Reliance and Robustness in VLA Policies
Vision-language-action (VLA) policies fine-tuned on LIBERO are trained and evaluated on the same ten instruction strings, and rewording the instruction changes base OpenVLA's success by -38.0 points.Spacecraft Pose Tracking via Kinematic Prediction and Selective Event Correction
In initialized spacecraft tracking, a short-horizon motion prediction remains available as event support changes.Active Generative Simulation: Meta-Learning What to Simulate for Sim-and-Real Policy Co-Training
Sim-and-real co-training is an effective way to scale robot learning by augmenting limited real-world demonstrations with simulation data.IMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
Wrist-worn inertial measurement units (IMUs) provide a common sensing modality for tasks ranging from activity and gesture recognition to pose estimation, inertial odometry and clinical motor…Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution
Retrieving useful context for a robot requires matching its task, execution stage, and the continuation that should follow.VLRLA: Deployment-Time Adaptation of Vision-Language-Action Models through In-Context Reinforcement Learning
Vision-language-action (VLA) models connect visual perception and language understanding with robot control, providing a foundation for instruction-conditioned manipulation.HiFun: a Hierarchical Framework for Efficient Functional Dexterous Manipulation Learning
While multi-fingered dexterous robot hands have the potential to provide human-level dexterity, using them for functional manipulation remains difficult because task success depends on precise…Dungeon and Visibility World Generator
Robotic exploration, coverage, and multi-agent deployment algorithms require reproducible environments with controllable geometry and visibility.Dual-arm Cooperation for Tabletop Wiping with Temporal Object Removal
We devise a dual-arm cooperative planning framework for wiping table surface in the presence of scattered objects.GS-PRM: Gaussian Visual Roadmap for Image-Goal Navigation
Image-goal navigation requires a global planner that connects visually specified endpoints while providing observations that a local policy can follow.