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 206
ManiSkillFormer: Demonstration-Free Compositional Manipulation via Task-Conditioned Geometric Contracts
Adapting robotic manipulation to new objects and tasks often requires additional demonstrations, policy fine-tuning, or manual engineering.Auto-HSI: Personalized human control of a robot swarm on demand by using LLMs for online automatic code generation
This paper presents Auto-HSI, a method for generating personalized human-swarm interaction (HSI) interfaces on demand.UDAV: Uncertainty-Driven Adaptive VLM Waypoint Planner
Vision-language models (VLMs) can generate routes directly from aerial imagery for off-road navigation, but their predictions provide no indication of reliability.Autonomous Droplet Navigation via Model-Based Reinforcement Learning
Precise manipulation of liquid droplets underpins lab-on-a-chip platforms for diagnostics, chemical synthesis, and biological assays.Geometry vs Structure: Graph-Based Diagnostics for LiDAR Point-Cloud Simulation Fidelity
Digital twins provide a scalable and cost-effective complement to real-world testing for validating autonomous-driving and advanced driver-assistance system (ADAS) sensor pipelines.Collision-Aware Humanoid Whole-Body Control under Imperfect Tracking Targets
Humanoid robots often execute motion commands through whole-body controllers (WBCs) that track targets while maintaining balance and stability.A Programmable Optics Cloud Laboratory
Laboratory automation can improve experimental throughput, accessibility, and reproducibility, but many robotic laboratory systems remain difficult to reconfigure.XRoboToolKit-T: Teleoperation with High Stability and Precision with Tactile Sensing for Contact-rich Manipulation
Collecting high-quality robot data for contact-rich manipulation tasks is essential for enabling robots to acquire real-world skills.The Neverwhere Visual Parkour Benchmark Suite
State-of-the-art visual locomotion controllers are increasingly capable at handling complex visual environments, making evaluating their real-world performance before deployment increasingly…Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms
Unmanned aerial vehicle (UAV) swarms deployed in mission-critical applications must simultaneously track a mobile aerial target and maintain reliable data links.When Does Test-Time Physical Diagnosis Pay? A Frozen Policy Buys Evidence It Never Reads
When a robot faces unfamiliar physical conditions, a common approach is to collect evidence about what changed and adapt.Novel Ex-vivo Calf Brain Model with Integrated Sub-Skull Force Sensors to Access Simulated Neurosurgical Procedures
Surgical tissue manipulation demands precision; however, tool-tissue manipulation force magnitudes under realistic conditions are rarely quantified.ITA-LaCAM: A Complete and Scalable TAPF Solver via Assignment-Aware Configuration-Space Search
Combined Target Assignment and Path Finding (TAPF) requires assigning targets for agents while simultaneously planning collision-free paths.Task-Specified Active Metrological Inspection with Measurement-Steered VLA Manipulation and Deterministic Evidence Gating
High-mix low-volume (HMLV) manufacturing requires inspection systems to adapt to changing parts, specifications, and work orders without repeated task-specific programming.Embracing Flow Unsteadiness: A High-Throughput Learning Platform Enables Vortex-Exploiting Bioinspired Propulsion
Biological swimmers and flyers exploit unsteady vortices for propulsion, whereas engineered vehicles usually suppress them as disturbances.VGFM: Expressive Robot Policies via Dense Value Guidance in Flow Matching
Recent robot learning paradigms increasingly rely on large offline datasets of robotic interactions to train control policies.Learning Communication-Conditioned Generative Policies for Decentralized Multi-Agent Collision Avoidance
In this work, we propose a decentralized communication-conditioned generative framework for multi-agent collision avoidance.Multi-Task Visual Perception Network with LLM Conditioning for Autonomous Navigation
Long-term navigation for service robots faces crit- ical challenges like the accumulation of odometry drift and sensor error, which progressively degrade 2D maps and renders traditional path…VLBiMan++: Expanding the Generalization Boundary of Vision-Language Anchored One-Shot Bimanual Manipulation
Generalizable bimanual robotic manipulation requires a reusable task prior that can persist across increasingly diverse tasks, objects, scenes, embodiments, and execution conditions, thus avoiding…S3-Tracker: Self-Supervised Surgical Tissue Tracking With Contrastive Random Walks
Robust point tracking in endoscopic videos is essential for computer-assisted intervention and autonomous robotic surgery, enabling continuous registration between intraoperative video and…