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Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.

Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.

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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

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

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

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

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

The Three Dimensions of ROS 2 Middleware

arXiv:2607.01304v1 Announce Type: new Abstract: ROS 2 (Robot Operating System 2) has emerged as the de facto standard for modern robot software development, wit…

Robotics

WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement Learning

arXiv:2607.01281v1 Announce Type: new Abstract: Autonomous landing of unmanned aerial vehicles (UAVs) on wave-disturbed marine platforms remains challenging due…

Robotics

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models

arXiv:2512.22539v3 Announce Type: replace Abstract: While Vision-Language-Action models (VLAs) are rapidly advancing towards generalist robot policies, it remai…

Robotics

Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning

arXiv:2607.02205v1 Announce Type: new Abstract: Sim-to-real transfer in robot learning is often limited by discrepancies between the ideal actuator dynamics ass…

Robotics

Influence of Radial Basis Activation Functions on Intelligent Controller for Robotic Manipulators

arXiv:2607.02167v1 Announce Type: cross Abstract: This paper presents an intelligent control framework for trajectory tracking of robotic manipulators using rad…

Robotics

BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer

arXiv:2607.01410v1 Announce Type: new Abstract: Sim2real transfer for robot policy learning suffers due to mismatch between simulation and reality. Existing met…

Robotics

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving

arXiv:2603.18315v2 Announce Type: replace Abstract: Traditional reinforcement learning (RL) methods rely on manually engineered rewards or sparse collision sign…

Robotics

VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment

arXiv:2607.01586v1 Announce Type: cross Abstract: Vision-language-action models (VLAs) have recently advanced robotic manipulation, yet the effects of different…

Robotics

ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation

arXiv:2603.28545v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models and world-action models have emerged as central paradigms for general-pu…

Robotics

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation

arXiv:2512.18368v2 Announce Type: replace Abstract: Scaling imitation learning to diverse multi-task robot manipulation remains challenging due to suboptimal de…

Robotics

CoFL-S: Spatially Queryable Sector Flow Fields for Local Language-Conditioned Navigation

arXiv:2607.02222v1 Announce Type: new Abstract: Vision-Language Navigation has increasingly emphasized high-level instruction reasoning, memory, global map cons…

Robotics

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents

arXiv:2604.19775v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous agents capable of reasoning, plan…

Robotics

MetaTune: Adjoint-based Meta-tuning via Robotic Differentiable Dynamics

arXiv:2603.27313v2 Announce Type: replace Abstract: Disturbance observer-based control has shown promise in robustifying robotic systems against uncertainties. …

Robotics

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies

arXiv:2607.02092v1 Announce Type: new Abstract: Flow-matching vision-language-action policies generate robot action chunks through an iterative transport proces…

Robotics

Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling

arXiv:2605.00412v3 Announce Type: replace-cross Abstract: World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, auton…

Robotics

WorldSample: Closed-loop Real-robot RL with World Modelling

arXiv:2607.02431v1 Announce Type: new Abstract: Reinforcement learning (RL) can overcome the demonstration-coverage limitation of imitation learning (IL) by all…