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 136
PreferenceFlow: Test-Time Guidance of Flow-Matching Robot Policies from Human Interventions
Flow-matching policies can represent complex robot behaviors but remain susceptible to local errors under distribution shift at deployment.NIDAR: NIR-Guided Intrinsic Decomposition for Scalable Scene-Agnostic LiDAR Intensity Reconstruction
LiDAR return intensity provides complementary surface-response cues for robotic perception and state estimation, yet many simulation pipelines omit it or reproduce it using reconstruction methods…All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
To advance the development of embodied intelligence, Open-Environment Active 3D Mapping has attracted increasing attention, aiming to perform a long-horizon and shortest trajectory exploration for…AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated Demonstrations
Aerial manipulators extend robotic manipulation into 3D workspaces that are difficult for ground-based robots to access, creating new opportunities for general-purpose manipulation.Track-and-Complete: Learning Humanoid Skills from a Single Failed Human Video
Learning humanoid skills from videos typically requires a successful human demonstration, which often demands custom data collection.ComManip: Overfitting Manipulation Policies to Comfortable Regions
Training robot manipulation policies relies on costly robot demonstrations, making large-scale data collection impractical.Beyond Token Importance: Preserving Spatial Scaffolds for Efficient Vision-Language-Action Inference
Existing VLA pruning strategies primarily select individual visual tokens according to task-level semantic relevance, while overlooking the spatial information required for robotic manipulation.All You Need Is Low Fidelity: Zero-Shot Sim-to-Real of Learned Robotic Fish Control
Complex tasks for underwater robots remain limited by the capabilities of their controllers.FACT: Fidelity-Aware Construction of Articulated Twins
Visually plausible articulated assets may still fail during contact interactions or exhibit inaccurate motion.Predictive Safety Curricula for Robust Legged Locomotion
Rare but consequential failures can persist in learned locomotion policies for legged robots even when average task performance is high, in part because standard curricula primarily adapt task…From Sky to Soil: A Morphing Aerial-Ground Robot for Seed Deployment
Aerial seed broadcasting can reach remote restoration sites, but provides limited control over seed placement within the soil.BCNav: Bearing-Conditioned Depth Policies for Sound Source Navigation
The ability to navigate toward sound sources extends a robot's reach beyond its visual field, enabling response to auditory events in unknown environments.Multifunctional Locomotion Control of Multi-Jointed BURs with Swimming and gait Capabilities
Multimodal biomimetic underwater robots (BURs) can conduct underwater tasks suitable for the environment.V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous Driving
Vehicle-infrastructure cooperation can complement onboard sensing with broader and more informative observations of the traffic environment, providing valuable support for end-to-end autonomous…Adversarially Robust Geometric Safety Certificates for Nonholonomic Robots Against Maneuvering Obstacles
Safe navigation against obstacles that can actively maneuver within bounded capabilities remains challenging: robust control barrier function methods typically treat obstacle actions as generic…ReF-HIL: Shaping the Critic around Human Action Neighborhoods for Efficient Human-in-the-Loop Reinforcement Learning
Human-in-the-loop reinforcement learning (HIL-RL) offers a promising route to efficient training of robotic manipulation policies by combining autonomous learning with human demonstrations and…CoRe-VLA: Preserving Cross-View Coordination in VLAs under Camera Shifts
VLAs combine pretrained vision-language representations with action generation to enable language-guided control across diverse tasks, becoming a mainstream paradigm in embodied intelligence.Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead
Vision-Language-Action (VLA) models remain brittle under visual distribution shifts, often relying on spurious correlations tied to domain-specific factors rather than task-relevant structure.EgoHumanoid-V2: Human-to-Humanoid Transfer of Coordinated Whole-Body Skills for Loco-Manipulation
Human demonstrations capture diverse scenes and rich whole-body skills without requiring robot teleoperation.InsightMap: Structured Spatial Modeling for Embodied Multimodal Reasoning
Language-guided navigation requires connecting partial observations to a persistent spatial reference and learning how actions change that representation.