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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 41
Adaptive World-Models for Anomaly Recognition (AWARE): A Framework for Robot Dynamics Prediction and Introspection
Unrecognized anomalies in critical infrastructure can rapidly cascade into catastrophic physical or operational failures.Semantic Representation for Agentic Self-Play in Automated Laboratories
Navigating complex, high-dimensional biological search spaces necessitates scalable physical and computational intelligence to explore beyond local optima through iterative self-play across…Predictive Long-Horizon Progress Modeling with Action-Aware Quantification
Quantitative and dense task progress feedback is essential for robotic manipulation across data curation, policy evaluation, and reinforcement learning.Regularised RL improves sim-to-real transfer
Regularised reinforcement learning (RL) has provable robustness guarantees that should ease the transfer of policies from simulation to robots, known as sim-to-real.When Human Corrections Travel: Safety in Federated VLA Adaptation
Vision-language-action (VLA) policies can adapt to local human intervention, while federated learning can combine distributed robot experience without pooling raw records.HoloBoxing: A Simple Recipe for Humanoid Boxing with 7 Minutes of Single-GPU Training
HoloBoxing presents a simple recipe for learning humanoid boxing by building on a pretrained whole-body controller.If at First You Don't Succeed, Backtrack: Lightweight Recovery for Frozen VLAs
Vision-Language-Action (VLA) models perform well on robotic manipulation, yet remain brittle once their own actions carry them into states their training data barely covers.Robotic Optical Coherence Tomography-Guided Geometric Modeling of Soft Tissue: 3D Representations for Data-Driven Closed-Loop Shape Control
In medical robotics, data-driven soft-tissue shape control requires deforming tissue toward desired morphologies through sequential physical interactions.RynnUnify: Towards Unified Embodied Brain
We introduce RynnUnify, a 16B unified embodied model that combines strong embodied understanding with long-horizon visual planning through interleaved video--language reasoning.ViT-H: Generative Video-To-Humanoid Control with Motion Tracking Feedback
Learning humanoid control from monocular human videos offers a scalable way to acquire diverse whole-body behaviors.DexPort: A Hand-Held Skill Interface for Dexterous Hand Data Collection
Collecting high-quality demonstrations remains a central bottleneck for learning dexterous manipulation.RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms
Robust reinforcement learning (RL) is critical for reliable real-world deployment, where policies may fail under diverse shifts and disruptions.SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning
Training generalizable embodied agents requires realistic, varied, and simulation-ready indoor environments.Gaussian Episodic Memory for Long-Term Spatiotemporal Reasoning
Real-world environments undergo continual semi-static changes, requiring a memory representation that captures both the spatial and temporal evolution of a scene.RAIWAY: A Large-Wheeled Bipedal Robot with Contact-Informed Blind Locomotion
We present RAIWAY, an in-house wheeled bipedal robot with 20-inch wheels, together with a contact-informed control approach for rolling locomotion across irregular and discontinuous terrain.Bracketing Shows the Way: Adaptive Multi-Exposure Policy as Input for Robust Visual SLAM
Rapid illumination transitions can disturb Visual SLAM (VSLAM) by saturating images before the Automatic Exposure (AE) policy adapts, removing the visual correspondences needed to maintain tracking.Interpretable Collision Avoidance and Feasibility Guarantees through an Uncertainty Aware Pipeline
Autonomous vehicles (AVs) operating in dynamic, challenging conditions such as intersections and roundabouts must guarantee collision avoidance under uncertainty while maintaining real-time…Causal-based approaches to explain and learn from self-extension - A review
The last decades have seen a revolution in autonomous robotics.ORBIT: A Modular Multi-finger Robotic Hand Platform with Rotational Finger Reconfiguration
Despite the popularity of multi-fingered robotic hands for dexterous manipulation, there is no systematic platform to compare different hand morphologies against one another.Neuromorphic Decision Dynamics for Deadlock-free Safe Navigation in Congested Environments
Safe navigation in congested environments requires both collision avoidance and coordinated passage.