Industry Monitor Humanoid Industrial & Cobot AGV / AMR Quadruped Reducers · Servos · Sensors Drones & Autonomy Embodied AI
Robos News

News

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.

Latest in News

2482 stories
Robotics

!Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics

arXiv:2607.04146v1 Announce Type: new Abstract: This work establishes that trigger-word data poisoning of vision language action models is practical, while at t…

Robotics

MOSAIC: Modular Scalable Autonomy for Intelligent Coordination of Heterogeneous Robotic Teams

arXiv:2601.23038v3 Announce Type: replace Abstract: Mobile robots have become indispensable for exploring hostile environments, such as in space or disaster rel…

Robotics

GelNeuro: A Sensing-Computing Integrated Neuromorphic Tactile System for Texture Recognition

arXiv:2607.05241v1 Announce Type: new Abstract: Neuromorphic visuo-tactile sensing offers a promising paradigm for low-latency and low-power robotic perception.…

Robotics

HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models

arXiv:2607.04265v1 Announce Type: new Abstract: World-action (WA) models can generate long-horizon action chunks for general-purpose robotic manipulation, but t…

Robotics

Compressing the Validation Bottleneck: An Agentic Self-Driving Lab for Scientific Discovery

arXiv:2607.04508v1 Announce Type: cross Abstract: Agentic AI-for-Science can automate ideation, planning, and analysis, but final validation still depends on re…

Robotics

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills

arXiv:2604.24182v2 Announce Type: replace Abstract: Current Vision-Language-Action (VLA) models predominantly rely on end-to-end fine-tuning. While effective, t…

Robotics

Green for Go, Red for No: Visual Grounding via Semantic Segmentation for VLA Navigation Policies

arXiv:2607.05122v1 Announce Type: cross Abstract: Vision-language-action (VLA) models enable robot navigation from natural language and visual goals, but remain…

Robotics

Toward Personalized Social Robots for Child Well-being: Data Requirement Principles from a Recommender-System Perspective

arXiv:2607.05110v1 Announce Type: cross Abstract: Social robots are increasingly deployed in clinical settings to support the well-being of children, where effe…

Robotics

Agent-driven Long-tail Simulation for Autonomous Driving

arXiv:2607.04331v1 Announce Type: new Abstract: Evaluating autonomous driving systems in closed-loop settings requires realistic and interactive simulation, yet…

Robotics

Athena-WBC: Capability-Aligned Policy Experts for Long-Tail Humanoid Whole-Body Control

arXiv:2607.04837v1 Announce Type: new Abstract: Large-scale humanoid motion-tracking controllers are commonly improved by reallocating training effort: difficul…

Robotics

HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control

arXiv:2607.03449v1 Announce Type: new Abstract: Current Vision-Language-Action (VLA) models excel at robotic manipulation but often struggle with non-Markovian …

Robotics

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning

arXiv:2607.03182v1 Announce Type: new Abstract: Autonomous driving planning requires translating navigation intent, traffic rules, dynamic interactions, and lan…

Robotics

SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy

arXiv:2607.04378v1 Announce Type: new Abstract: Surgical automation is being increasingly studied, yet bridging visual scene understanding with autonomous actio…

Robotics

3D Cal: An Open-Source Software Library for Depth Reconstruction on Vision-Based Tactile Sensors

arXiv:2511.03078v3 Announce Type: replace Abstract: Tactile sensing plays a key role in enabling dexterous and reliable robotic manipulation, but realizing this…

Robotics

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training

arXiv:2607.02840v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown promising generalization in robotic manipulation, but they still …

Robotics

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation

arXiv:2607.02642v1 Announce Type: new Abstract: Evaluating embodied robot foundation models remains a critical bottleneck; unlike large language models efficien…

Robotics

Learning 3D Affordances for Blade Insertion in Cluttered Stowing

arXiv:2607.02549v1 Announce Type: cross Abstract: Many manipulation tasks require reasoning about free-space affordances: discovering volumes where an extended …

Robotics

WSA$_1$: a 3D-Centric World-Spatial-Action Model for Generalizable Robot Control

arXiv:2607.03941v1 Announce Type: new Abstract: Recent advances in embodied AI have established robot foundation models (RFMs) as the dominant approach for gene…

Robotics

FLOAT Drone for Physical Interaction: Lateral Airflow Reduction, Wrench Modeling, and Adaptive Control

arXiv:2607.04260v1 Announce Type: new Abstract: Aerial physical interaction represents a promising direction for next-generation unmanned aerial vehicles (UAVs)…

Robotics

Real-World Perturbation Testing of Autonomous Driving Systems

arXiv:2607.04953v1 Announce Type: cross Abstract: Autonomous Driving Systems (ADS) must operate reliably under diverse conditions, yet representative data for r…

Robotics

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation

arXiv:2607.04652v1 Announce Type: new Abstract: Learning manipulation from few demonstrations requires visual priors that capture not only where to interact, bu…

Robotics

ObjRetarget: An Object-Aware Motion Retargeting Framework with Anthropomorphic Arm Constraints and Polyhedral Hand Modeling

arXiv:2607.03828v1 Announce Type: new Abstract: Learning robot dexterous manipulation from human manipulation videos requires reliably retargeting human intent …

Robotics

Verifier-free Test-Time Sampling for Vision-Language-Action Models

arXiv:2510.05681v2 Announce Type: replace Abstract: Vision-Language-Action models (VLAs) have demonstrated remarkable performance in robot control. However, the…

Boston Dynamics brings its legged robots to the FIFA World Cup
Robotics

Boston Dynamics brings its legged robots to the FIFA World Cup

Around the 2026 FIFA World Cup, Hyundai and Boston Dynamics have taught footwork to the Atlas humanoid, while the Spot robot is on patrol. The post Boston Dynam…

Kraken Robotics acquires Covelya Group for $615M
Robotics

Kraken Robotics acquires Covelya Group for $615M

Covelya Group expands Kraken Robotics' product offerings and total addressable market in subsea technology. The post Kraken Robotics acquires Covelya Group for …

Quantum Systems raises $1.2B to expand drone production and deployments
Robotics

Quantum Systems raises $1.2B to expand drone production and deployments

Quantum plans to use the proceeds to expand production capacity, strengthen supply chain resilience, and more. The post Quantum Systems raises $1.2B to expand d…

RoboBusiness 2026 call for speakers closes soon
Robotics

RoboBusiness 2026 call for speakers closes soon

RoboBusiness 2026, the premier event for developers of commercial robotics and those building robotics businesses, is seeking expert speakers. The post RoboBusi…

#RoboCup2026 – humanoid league knockout stages
Robotics

#RoboCup2026 – humanoid league knockout stages

This weekend saw the finale of the league competitions at RoboCup 2026 in Incheon, South Korea, with the winners in the small, middle, and large humanoid divisi…

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…