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 187
HIGenNTO: Scalable Humanoid Interaction Generation via Noise-Space Trajectory Optimization
Humanoid robots can acquire complex skills by imitating kinematic humanoid motion references, yet reliable references for contact-rich interactions remain difficult to obtain: motion capture…Simultaneous Forward and Inverse Human-in-the-Loop Optimization
Subjective user experience is important to human-robot interaction, but the outcomes users value, and how those preferences vary across individuals and contexts, are often unknown.CoreSense: Traceable Failure Recall and Conflict-Aware Belief Gating for Auditable Robot Decisions
Robots can recall prior failures without knowing whether recalled evidence remains valid, conflicts with current observations, or is sufficient to guide a decision.AMB3R-SLAM: Kilometer-scale SLAM with Hierarchical Backend
We present AMB3R-SLAM, a real-time monocular SLAM system capable of reconstructing kilometer-scale trajectories over 10k frames on a single consumer-grade GPU.AURORA: A Natural Language-Driven Agentic Framework for Understanding, Reasoning, and Orchestrating Reliable Air-Ground Co-Simulation
Air-ground transportation research increasingly relies on co-simulation, yet constructing scenarios remains labor-intensive and difficult to validate.SLAMSqueezeBench: Comparing SLAM Systems under Resource Constraints
Simultaneous localization and mapping (SLAM) is one of the services running on an autonomous robot.Navigate or Relocate? Planning Among Movable Obstacles in Unknown Environments
Conventional robot planning methods seek collision-free paths to a goal but fail when all paths are blocked.PerSeM: Persistent Semantic Memory for Long-Horizon Open-Vocabulary UAV Mapping
Open-vocabulary segmentation enables rich semantic perception for UAVs, but frame-wise predictions can remain temporally inconsistent across repeated observations and changing viewpoints.VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control
Spatial intelligence requires more than describing object locations.Tele-Traversability: Rethinking Traversability for Teleoperated Ground Robots in Terrain Navigation
Teleoperation, a human-in-the-loop control scheme, allows a human operator to remotely command and guide a mobile robot to navigate in off-road environments, yet fluent and user-friendly…Recovering Aggressively Pruned Vision-Language-Action Models with Offline Hidden-State Distillation
Vision-language-action (VLA) models let robots follow language instructions, but their language backbones of several billion parameters are the main obstacle to running them on robot hardware.OmniCalib: Target-Free, Task-Structured Self-Calibration for Humanoid Robots
Assembly, wear, and component replacement perturb the sensor extrinsics and joint zeros encoded by a humanoid CAD model.Quantifying Mechanical Intelligence in Legged Robots with Information Theory
Mechanical intelligence, loosely defined as the reduction in control burden afforded by a robot's physical form, has become a prominent concept in robotics, with instantiations in bioinspired…Selective Cotton Boll Localization for Robotic Harvesting: Evaluation of Deep Learning Vision Models Under Field Conditions
This study developed and evaluated a deep-learning-based perception framework for selective robotic cotton picking.WorldContact: A Contact-Centric World Model for Scalable Robot Learning
Adapting robots to new objects and tasks requires interaction experience that can be costly to obtain.TacSushi: Tactile-Grounded World-Action Modeling for Dexterous Sushi Manipulation
Dexterous food manipulation requires control under deformation, occlusion, and uncertain contact.From Intent to Action: Benchmarking LLM Safety in Vehicle Voice Command Authorization
Large language models (LLMs) are increasingly integrated into vehicle voice assistants.EmbodiedMind: Adaptive Data Curation and Prefix-Tree Reinforcement Learning for Efficient Embodied Intelligence
Training embodied foundation models typically requires massive-scale datasets and extensive computational resources, yet often suffers from three critical limitations: (1) inefficient sample…ReShoot: Generative Visual Domain Randomization of Recorded Robot Demonstrations for Visuomotor Policy Learning
Imitation-learned robot policies are frequently overfit to the visual conditions present in their training demonstrations.Runtime Safety Filtering for Two-Terminal Hazards in Robotic Battery Recycling
Runtime safety filters for learned manipulation policies typically define unsafe states as unions of object-wise keep-out regions.