Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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The Robot Data Factory
Physical AI requires more than increasingly large robot datasets: intelligent robots acquire knowledge through continuous interaction with the physical world.CorrRisk-WM: Corridor-Conditioned Risk World Modeling for Safety-Critical Trajectory Planning
Safe local planning requires forecasting surrounding-agent motion and evaluating candidate-specific risks, since identical agent motion can pose different risks to different ego trajectories.Visual Cue Guided Video Planning for Generalizable Robot Navigation
Generative video models can serve as a promising backbone for robot navigation by predicting future observations as video plans.The Latent That Never Was: A Forensic Re-run of the CVAE Ablation in Action Chunking Transformers
Action Chunking Transformers (ACT) are widely used to learn robot manipulation from demonstrations.Optimal Excitation Trajectories for System Identification of Underwater Vehicles
In this work, we propose a structured methodology for the system identification of underwater vehicles through the design of optimal excitation trajectories.Motion planning in high dimensional spaces hybridizing RRT and HAR via position-direction decoupling
The exploration of high-dimensional spaces remains a challenging problem, in particular in the presence of narrow passages and small clearances.Rethinking Visual Embodiment Dependence in Visuomotor Policies
Visuomotor policies observe both the task scene and the acting embodiment, allowing embodiment-specific visual cues to influence action prediction.CoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms
Industrial IoT environments increasingly deploy autonomous mobile robots for tasks such as material handling, product assembly, or infrastructure inspection.TEMPO: Learning Temporal Context for Dynamic Robot Manipulation
Vision-language-action (VLA) models have achieved impressive performance in quasi-static manipulation, but struggle in dynamic manipulation tasks because they operate on a single observation at…Artificial Intelligence-Enabled Space Robot Operations: Technologies, Challenges and Prospects
Space robots are increasingly expected to perform long-duration, contact-rich, and multi-stage operations with limited human intervention.Bridging Learned Visual Perception and Symbolic Belief-Space Planning
In partially observable settings, agents must act without full knowledge of the world state and rely on uncertain state-estimation pipelines.Waggle Dance Inspired Motion Communication for Multiple UAVs in MuJoCo
The honeybee waggle dance motivates a communication mechanism in which one agent's movement conveys spatial information that guides other agents' actions.Overcoming technical adoption barriers for mobile service robots in rehabilitation
Many publications on robotic systems in healthcare describe early-stage work on low technology readiness levels.sensVLA: Spatially-Grounded Vision-Language-Action Model for Autonomous Wheel Loader
Autonomous wheel-loader control requires joint reasoning over task semantics, egocentric vision, proprioception, and 3D scene geometry.SWIM: Vision-Language-Grounded Soft Whole-Body Interactive Manipulation
Soft and continuum robots enable manipulation through distributed body deformation and contact, yet translating language and visual context into executable whole-body actuation remains a fundamental…Learning Options for Compositional Motor Control with Adapter Banks
Learning flexible motor primitives is a hallmark of skilled motor control.GeoLAM: Learning Geometry-Grounded Latent Actions from Unlabeled Human Videos
Human videos provide rich manipulation experience, but extracting action representations that preserve useful motion remains challenging.BRAVE-6D: Benchmark for Robotic Active Vision in 6DOF Pose Estimation
Detecting and grasping small objects remains a significant challenge in robotics.Intrinsic Robot Rewarding: Reusing VLA Representations for Autonomous Evaluation and Policy Improvement
Vision-language-action (VLA) systems already bring together two valuable resources for robot learning: rich visual representations and demonstrations of successful task execution.LOTUSim-Energy: A Maritime Simulator for Human-Drone Interaction in Autonomous Offshore Operation \& Maintenance
Offshore maintenance requires operations in the air, the surface, and the subsea domain and include human supervision.