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Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.

Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.

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Robotics

IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation

arXiv:2511.17384v2 Announce Type: replace Abstract: While Visual Large Language Models (VLLMs) show great promise as embodied agents, they continue to face subs…

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity
Robotics

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity

Humanoid says its KinetIQ Ascend approach can reach 99.9% manipulation reliability at human speed and beyond for industrial tasks. The post Humanoid says KinetI…

Context is king: How Avride uses cloud VLMs as a safety net for delivery robots
Robotics

Context is king: How Avride uses cloud VLMs as a safety net for delivery robots

Avride uses vision-language models, or VLMs, to improve the environmental awareness of its delivery robots. The post Context is king: How Avride uses cloud VLMs…

Robotics

Choreographing the Way of Water: A Computational Framework for Aquatic Robotic Art

arXiv:2607.02174v1 Announce Type: new Abstract: Robotic choreography in open water is governed by nonlinear fluid dynamics, which impose significant challenges …

Robotics

Learning to Localize Reference Trajectories in Image-Space for Visual Navigation

arXiv:2602.18803v2 Announce Type: replace Abstract: We present LoTIS, a model for visual navigation that provides robot-agnostic image-space guidance by localiz…

Robotics

BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps

arXiv:2604.14421v2 Announce Type: replace Abstract: Reliable odometry is essential for mobile robots as they increasingly enter more challenging environments, w…

Robotics

Simulation Based Reward Function Validation for Multi-Agent On Orbit Inspection

arXiv:2607.01367v1 Announce Type: cross Abstract: A proposed method for the control of groups of inspection spacecraft is Multi-Agent Reinforcement Learning (MA…

Robotics

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots

arXiv:2607.02501v1 Announce Type: new Abstract: Embodied AI models now span vision-language-action (VLA) models and world-action models (WAMs), but practical de…

Robotics

Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning

arXiv:2607.02037v1 Announce Type: new Abstract: Autonomous surface vehicles vary widely in hydrodynamic and actuation characteristics, yet most controllers are …

Robotics

A Convex Obstacle Avoidance Formulation

arXiv:2512.13836v2 Announce Type: replace-cross Abstract: Autonomous driving requires reliable collision avoidance in dynamic environments. Nonlinear Model Pred…

Robotics

Transport Discrepancy as a Reliability Signal for Vision-Language-Action Models

arXiv:2512.01715v2 Announce Type: replace Abstract: Vision-language-action (VLA) models that generate continuous action chunks via flow matching lack an interna…

Robotics

PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation

arXiv:2607.01938v1 Announce Type: new Abstract: Manipulating fast and dynamically moving targets in unstructured 3D environments remains challenging for embodie…

Robotics

Learning 3D-Gaussian Simulators from RGB Videos

arXiv:2503.24009v3 Announce Type: replace-cross Abstract: Realistic simulation is critical for applications ranging from robotics to animation. Learned simulato…

Robotics

Robust Image Processing Techniques for Construction Environment Monitoring Using Underwater Robots

arXiv:2607.01915v1 Announce Type: cross Abstract: This paper proposes a robust image processing framework for underwater robot-based construction environment mo…

Robotics

Adaptive Companionship for Group-Following Robots: Handling Dynamically Changing Group Formations

arXiv:2607.01287v1 Announce Type: new Abstract: Accompanying a group of humans is an essential aspect of developing human-like social cognition in robots. Howev…

Robotics

Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration

arXiv:2603.06001v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models enable robots to perform manipulation tasks directly from natural langua…

Robotics

Regression Test Selection for Updated Capability Modules in Compositional ML Systems via Atomic-Quality Probes

arXiv:2604.26689v4 Announce Type: replace Abstract: Compositional machine-learning (ML) systems assemble runtime behavior from libraries of independently re-tra…

Robotics

CommonRoad-Game: A Human-in-the-Loop Simulation Framework for Autonomous Driving

arXiv:2607.01382v1 Announce Type: new Abstract: Motion planning algorithms should be evaluated in human-in-the-loop environments to ensure they produce safe and…

Robotics

NEUROSYMLAND: Neuro-Symbolic Landing-Site Assessment for Robust and Edge-Deployable UAV Autonomy

arXiv:2607.02277v1 Announce Type: new Abstract: Safe landing-site assessment in unstructured environments remains a key challenge for autonomous UAV deployment,…

Robotics

VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer

arXiv:2512.11891v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in generalizing across diverse…

Robotics

Imagining the Sense of Touch: Touch-Informed Manipulation via Imagined Tactile Representations

arXiv:2607.01684v1 Announce Type: new Abstract: Tactile sensing can substantially improve contact-rich robotic manipulation, yet its practical deployment remain…

Robotics

Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving

arXiv:2604.03497v2 Announce Type: replace Abstract: Vision-language-model (VLM)-guided reinforcement learning (RL) has recently attracted significant attention …

Robotics

Real-Time Visual Intelligence on Low-Cost UAVs: A Modular Approach for Tracking, Scanning, and Navigation

arXiv:2607.02298v1 Announce Type: new Abstract: Autonomous drones are rapidly transforming modern warfare and civil applications alike. This paper presents the …

Robotics

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

arXiv:2603.22435v2 Announce Type: replace Abstract: "Code-as-Policy" considers how executable code can complement data-intensive Vision-Language-Action (VLA) me…

Robotics

Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs

arXiv:2607.02466v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are fundamentally bottlenecked by the scarcity of expert demonstrations -- t…

Robotics

LIME: Learning Intent-aware Camera Motion from Egocentric Video

arXiv:2607.02417v1 Announce Type: new Abstract: Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded …

Robotics

Controllable Sim Agents with Behavior Latents

arXiv:2607.02496v1 Announce Type: new Abstract: Realistic traffic simulation requires agents that imitate logged behavior and can also be steered along interpre…

Robotics

Bridge-WA: Predicting Where and How the World Changes for Robotic Action

arXiv:2607.02195v1 Announce Type: new Abstract: General-purpose vision-language-action models benefit from large vision-language priors, but effective manipulat…

Robotics

SPLC: Social Preference Learning for Crowd Robot Navigation

arXiv:2607.01925v1 Announce Type: new Abstract: Offline reinforcement learning (RL) holds significant potential for crowd robot navigation in human-robot coexis…

Robotics

Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates

arXiv:2605.11020v2 Announce Type: replace-cross Abstract: Inverse reinforcement learning (IRL) is typically formulated as maximizing entropy subject to matching…