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 39
C-DFF: Concept-Level Diagnostics for Mechanism Parity in Simulation-Based Validation of Autonomous Driving Perception
Simulation is widely used in autonomous-driving validation, but matching task outputs between real and synthetic images does not guarantee that a system relies on the same visual evidence.RoboReason: Boosting Robotics-Relevant VLM Reasoning Through Scalable Data Generation
Vision-Language Models (VLMs) have demonstrated impressive performance when integrated into robot manipulation pipelines, but real-world evaluation of VLM capabilities on downstream robotics tasks…Segmentation of Moving Objects During Camera Motion Using the OWL Function
We present a principled, analytical framework for segmenting multiple independently moving rigid objects during single camera motion, built directly upon the OWL perception function.One Scan is Enough: Demonstration-Free Adaptation for Language-Guided Navigation
Deploying a language-guided navigation policy in a new building usually means watching it fail.RoboWorM: Evaluating Movement Realism, Consistency and Acceleration Affects in Embodied Video World Models
Video world models (VWMs) are rapidly emerging as scalable neural simulators for robotic manipulation.AdaDexTrack: Dynamic Modulation for Adaptive and Generalizable Dexterous Manipulation Tracking
Language is a natural way to command robots, but converting a single instruction into a long-horizon, contact-rich hand-object interaction remains challenging: synthesized references are noisy…Securing Edge & Physical AI: Post-Quantum IoT Blockchain for Mission-Critical Cyber-Physical Agents
Distributed Cyber-Physical Systems (CPS) and Edge AI networks increasingly depend on public-key authentication and key-establishment mechanisms that are vulnerable to cryptographically relevant…RoboLongR: Causally Consistent Rewards Teach Robots to Progressively Master Long-Horizon Manipulation
Long-horizon manipulation requires actions whose validity depends on earlier interactions, yet visual progress can conceal missing task prerequisites.Sybil-Resilient Multi-Drone Exploration of Indoor and Confined Spaces
When a team of drones explores a building together, each drone tells the others which frontier it is going to and shares the map it has built.Real-Time Human Trajectory Prediction from RGB-D for Mobile Robots Using Bi-Mamba
Predicting the short-term future trajectory of a person from RGB-D cameras is a key capability for mobile robots navigating in dynamic and human populated environment.Learning Functional Specialisation for Bimanual Robotic Control
Bimanual robotic control requires simultaneous management of distinct functional demands under motor noise, energetic costs, and communication delays.CEMIR vs. FISER: a comparative study of reasoning-based and enrichment-based approaches to pragmatic intent recognition
Intent recognition in human-robot interaction requires agents to resolve ambiguous natural language instructions by inferring the speaker's underlying goals.DiscoDemo: Discovering Efficient and Diverse Robot Demonstrations for Imitation Learning
Behavior cloning for robotic manipulation is highly sensitive to the coverage of its training data, yet collecting diverse successful demonstrations remains costly.TTT in VLA Models: Exploring Training with Human Demonstrations
Long-horizon robot tasks require retaining and using past information.Coupling Execution Horizon and Sampling Depth in Flow-Matching VLA Policies
Flow-matching Vision-Language-Action (VLA) models generate expressive continuous trajectories for robotic manipulation, yet balancing real-time responsiveness with execution stability remains a…TravSUITE: Traversability via Self-Supervised, Uncertainty-Aware IRL and Terrain Estimation
Traversability analysis in off-road settings remains a fundamental challenge for mobile robots.Geometry-Aware Reinforcement Learning for Close-Fitting Wearable Insertion
Robot-assisted dressing is particularly challenging due to narrow openings and articulated body parts.RAISE-Vision: An Automated Contact Angle Measurement Platform for Contact Lens Wettability Characterization
Contact angle (CA) is a common parameter measured in the development of novel contact lens materials and surface coating technologies.Do VLAs Know They Will Fail? Interpretable Success and Failure Patterns in Physical AI Systems
Vision-Language-Action (VLA) models have emerged as powerful general-purpose robot policies, but their successes and failures remain difficult to diagnose and understand.RoboCode: Learning Reusable Action Primitives for Robot Manipulation
Recent robot manipulation policies commonly predict continuous action chunks directly from observations, without explicitly modeling reusable structure in the action space.