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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Newest papers, page 141
Vision-Language-Action Autonomous Driving Agent with Language-based Memory
Vision-Language-Action (VLA) foundation models have recently emerged as one of the prevailing solutions for autonomous driving, as they can utilize knowledge acquired during vision-language…TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal Locomotion
Recent advances in musculoskeletal modeling and reinforcement learning have enabled muscle-actuated agents to reproduce increasingly complex human motions.DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies
Vision-Language-Action (VLA) models increasingly rely on action experts that generate short action chunks under receding-horizon control.EgoRefine: Ego-Referenced Predictive Alignment and Trajectory-Conditioned Reliability-Aware Fusion for Asynchronous Collaborative Perception
Collaborative perception enables connected agents to share complementary observations for 3D object detection, extending sensing range and mitigating occlusion.Retrospective Open-Vocabulary Memory for Long-Term Object Search
Long-term object search requires learning where objects usually appear from repeated but uneven observations of a changing environment.Quantile Head for Vision-Language-Action Models
Vision-Language-Action (VLA) models integrate pretrained Vision-Language Models (VLMs) with action heads for robot control.AD-E2E-JEPA: A Joint-Embedding Predictive Architecture For End-to-End Autonomous Driving
Autonomous driving requires \textit{world models} that can understand the physical world, reason and plan, and operate safely.Beyond Retrieval Relevance: Scene-Grounded Risk Entailment for Vision-Language Driving
Retrieval-augmented generation (RAG) gives vision--language driving systems access to external safety knowledge, yet a retrieved risk rule may be relevant without applying to the current scene.Reliability-Aware Sparse Route Memory for Round-Trip Vision-Language Navigation
Vision-language navigation (VLN) is typically evaluated as a one-way task, although deployed robots may need to return after reaching a goal.RAVEL: Asynchronous Rolling Inference for Flow-Based Vision-Language-Action Models
Flow-based vision-language-action (VLA) models are highly effective for generalist robot manipulation, yet their reliance on computationally expensive VLM encoding and multi-step iterative action…A Weak Notion of Symmetry for Control Systems
Symmetry (or invariance) is a powerful structural property that enables efficient, effective solutions for estimation and control.FailPatch: Failure Residual Patching for Vision-Language-Action Models
Vision-Language-Action (VLA) policies are typically adapted using successful demonstrations, which provide direct action supervision but rarely cover failure-prone states.AGILE-GS: Anchor-Guided Fast Next-Best-View Selection for Active 3D Gaussian Splatting
Radiance fields need hundreds of views, and their placement matters as much as their number.Unified Visual-Tactile-Action Modeling from Human Demonstrations for Dexterous Manipulation
Dexterous manipulation requires tactile feedback.WB-WAM: Heterogeneous Body-Hand Pre-training for Humanoid Loco-Manipulation
Humanoid loco-manipulation demands coordinated body and hand behavior, while conventional robot pre-training data provide limited coverage of such whole-body motion.RLE-Bench: A Qualifying Exam for Coding Agents as Robot Learning Engineers
Coding agents are beginning to move beyond purely digital tasks to tackle physical-world challenges, particularly in robotics.mmHRI: Towards Privacy-Preserving Human-Robot Interaction with Millimeter-Wave Radar
Assistive robots increasingly operate in many human-centered environments and perform various human-robot interaction (HRI) tasks, such as object delivery.Proprioceptive Force Estimation for Quadruped Locomotion and Human-Robot Interaction
Payload forces must be accommodated during locomotion, while leash forces can specify desired motion.GAE: General Action Expert for Real-Time Humanoid Teleoperation
Humanoid avatars extend human physical presence beyond the body, enabling people to participate in social, service, and labor activities through remotely operated robots.WAM-OPD: Sharpening World Action Models via On-Policy Distillation
Pretrained world action models (WAMs) provide generalist capabilities across diverse robotic manipulation tasks, yet improving target-task performance to an expert level without degrading pretrained…