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 164
A Modular Dual-Arm Robotic Cell for Disassembly and Repair of Industrial Control Electronics
Industrial control electronics such as programmable logic controllers, servo drives and operator panels are routinely repaired in plant maintenance, but were never designed for automated disassembly.Kairos: Grounded Forecasting of Presence and Directional Flow in 4D Scene Graphs
Long-term autonomy in human-populated environments requires anticipating whether and how people will move at times a robot has not yet observed.Collocated Shape Regulation for Soft Robots
Controlling the shape of a continuum soft robot typically requires an accurate dynamic model and actuation of all degrees of freedom.RoboCafé in the Open: Interaction Continuity in Long-Term Public Human-Robot Interaction
As robots remain in public spaces over extended periods, they must maintain interaction continuity by preserving and correctly applying context as people, encounters, and circumstances change.Know-Your-Scene (KYS)-SLAM: Hierarchical Semantic-Motion Priors for Feature Matching in Stereo Visual SLAM
Stereo visual SLAM systems built on local descriptors suffer from semantic ambiguity, instance-level confusion, and independently moving objects, each corrupting data association and accumulating as…Behavior-Aligned Action Tokenization for Robot Policy Learning
Autoregressive robot policies learn continuous control by predicting discrete action tokens from observations.NavProbe: Evidence-Grounded Reasoning with Active Memory Retrieval for Zero-Shot Navigation
Long-horizon navigation requires an agent to revise its intermediate objectives as evidence accumulates.Behaviora - A Conceptual Architecture for External and Internal Behavior of Robots and Agents
Behaviora is a preliminary conceptual architecture for representing agent and robot behavior, external and internal alike, in an addressable form.Action-Directed Information for Distributed Control and Agentic Interaction
Distributed intelligence concerns systems in which semi-autonomous components with local dynamics and partial observations coordinate through information exchange to maintain a shared function.Gray-Box Model Predictive Control for Articulated Dump Trucks via Gaussian Process Learning of Sideslip
The growing demand for automation in the mining industry, particularly for the autonomous operation of articulated dump trucks (ADTs), has drawn increased attention to accurate vehicle modeling.RegenHarness: A Robot Agent Harness with Evidence-Gated Recursive Self-Improvement
Long-horizon robot execution requires a clear distinction between a model's proposal, a controller's termination, and verified task completion.InternW0: A Foundational Physical World Model for Efficient Real-World Interactions
Physical intelligence requires more than predicting how the world may evolve: predictions must remain actionable as the world continues to change.GLoTouch: Global-to-Local Haptic Perception Using a Parallel Gripper for Object Search, Recognition, and Grasping Without External Vision
Perceiving objects in the environment is a fundamental capability of autonomous robots.DAVIO: Dense Monocular-Inertial SLAM with Feed-Forward Initialization and Pose-Conditioned Mapping
A camera and an IMU are the minimal sensor setup for metric localization and dense mapping, yet classical visual--inertial filters must wait for parallax before they start and then retain only…Wave-Robust Passive AUV Localization Using FP-MUSIC
Localizing an autonomous underwater vehicle without pre-deployed seabed transponders, or direct access to onboard vehicle sensors remains a core challenge.CoRelNav: Collaborative Relational Navigation for Multi-Robot Spatially Constrained Semantic Navigation
Spatially constrained semantic navigation requires robots to identify targets specified not only by semantic categories but also by relations to surrounding objects.InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies
Vision-Language-Action (VLA) policies often rely strongly on the camera viewpoints seen during training, causing substantial performance degradation when deployed from unseen perspectives.Less Language, More Latents: Annotation-Efficient VLAs for Driving
Vision-language-action models (VLA) promise human-steerable autonomous driving, but their training is bottlenecked by the scarcity of frames paired with natural-language instructions: while camera…Learning a Speed-adaptive Hip Exoskeleton Control Policy Via Sim-to-real Reinforcement Learning
Providing personalized exoskeleton assistance across varying walking speeds remains challenging.SlackDrive: Reclaiming Runtime Slack for Adaptive Driving Inference
Driving world-action models improve planning by coupling multimodal reasoning with future prediction, but their growing inference cost increasingly conflicts with the real-time latency requirements…