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 122
Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis
This paper examines the role of Novel View Synthesis (NVS) in geometric representation learning.TACET: Context-Appropriate Acoustic-Social Navigation for Quadrupeds
Quadruped robots entering hospitals, care homes, and quiet offices must be context-appropriate not only in where they move but in how loudly they move: a legged robot's locomotion noise, dominated…GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment Primitive
Foundation models and large-scale human data provide rich sources of manipulation intent, but translating this intent into multi-fingered robot behavior remains difficult.MOSAIC-SV: Real-Time Adaptive Identification of Vessel Dynamics for the Control and Deployment of Aquatic Robots
Model-based control of an aquatic robotic platform depends on a hydrodynamic model that is costly to identify and specific to the hull, payload, and conditions it was measured in.Barrier-Shaped Recurrent Reinforcement Learning for Autonomous Landing on a Heaving Ship Deck
This paper addresses autonomous landing of unmanned aerial vehicle (UAV) rotorcrafts on a heaving ship deck using a recurrent policy trained via asymmetric actor-critic reinforcement learning: the…Sparse Calibration-Based Personalization of Kernel-Based Gait Phase and Speed Estimation Using Wearable IMUs
This paper presents sparse calibration-based personalization for kernel-based gait phase and walking speed co-estimation from wearable inertial measurement units (IMUs).REDIRECT: A 1% Fix for Bad Robot Habits
Robots can acquire bad habits from a few defective moments in otherwise useful teleoperation.SUAVE: Unified Video-Action Models via Masked Diffusion
Vision-language-action models (VLAs) inherit strong semantic grounding from pretrained vision-language backbones but are typically optimized for predicting actions rather than future observations.Return-to-Home Feasible Micro-Aerial Vehicle Exploration for 3D Gaussian Splatting Reconstruction
Micro aerial vehicles (MAVs) enable rapid indoor 3D reconstruction for inspection and time-critical situational awareness, but must operate under strict flight-time budgets and safety constraints…A Biomimetic Gaze Control to Restore Head-Neck Movements
Powered neck exoskeletons are developed to restore head-neck motions for those with neck muscle weakness.Reward-DAgger: Robot-Gated Interactive Imitation Learning with General-Purpose Progress-Based Reward Models
Recent advances in robot learning have enabled generalist control policies capable of completing a wide range of tasks.Exact Optimal Transport by Matching
Balanced discrete optimal transport between n sources and n targets of unit mass is exactly the minimum-cost assignment problem-a bipartite perfect matching-and is therefore solvable exactly by…Towards Safer Autonomous Driving in an Open World: A Dual-Process Approach
Before autonomous driving systems can be deployed on public roads, it is vital that these systems comply with safety standards, traffic rules, and social norms.Terrain-Dependent Intra-Cycle Leg Timing for Effective Locomotion on Granular Slopes
Locomotion on granular slopes such as sand dunes remains a fundamental challenge for legged robots due to reduced shear strength and gravity-induced anisotropic yielding of granular media.Does a Learned Corrector Beat a Simple Retreat? Evidence from a Frozen VLA
Before deploying runtime recovery for a frozen vision-language-action (VLA) policy, one must establish that an intervention improves success beyond ordinary run-to-run variation and that its…Are Frontier VLM Agents Ready to Be Robot Generalists? An Empirical Study with the Embodied Agent Arena
Frontier vision-language models (VLMs) combine scene estimation, interaction grounding, and executable actions.Lang3DSeg: Annotation-Free Open-Vocabulary 3D Segmentation with Point Transformers
Accurate 3D semantic perception is critical for safe autonomous navigation.Kinematic MeanFlow: One-Step Action Generation Policy for Robotic Foundation Models
In this paper, we study how to achieve one-step action generation in Robotic Foundation Models (RFMs), aiming to overcome the high inference latency of multi-step flow matching.UniTrackPLA: Unified Panorama-Language-Action Model for Instruction-Guided Navigation and Dynamic Person Tracking
General-purpose embodied robots should support both navigation toward language-specified destinations and dynamic person tracking under arbitrary initial target azimuths.Real-Time Human-Adaptive Task Allocation for Multi-Human Multi-Robot Supervision
We propose a human-factor-aware method of allocating robot supervision tasks to multiple human operators.