Robotics & Automation News

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Optima brings in robots to improve cleaning standards at major airports in Spain

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Cleaning services in airports operate in one of the most demanding environments in the industry, with continuous activity 24 hours a day, seven days a week, and a high volume of passenger traffic.

Ensuring high standards of cleanliness, safety, and quality in this context requires solutions capable of delivering efficiency, reliability, and constant adaptation to a dynamic environment.

To meet this challenge, Optima Global, an integrated services company, has implemented an operating model based on technological innovation and the combination of human resources and autonomous robotics across several key airports in Spain: Barcelona, Seville, Málaga, Alicante, Valencia, Menorca, and Ibiza. [Read more…] about Optima brings in robots to improve cleaning standards at major airports in Spain

Rocsys raises $13 million and unveils multi-bay hands-free charging solution for robotaxis

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Rocsys, a developer of hands-free depot solutions for autonomous electric vehicles, has launched the Rocsys M1 – which the company says is “the world’s first hands-free charging solution capable of serving multiple bays in robotaxi operations”.

Part of a broader depot service platform that enables full depot autonomy, the M1 is currently in pilot deployment, with large-scale rollout set to begin in 2027. Rocsys plans to support thousands of charging bays across North America and Europe over the next five years.

To support this expansion, Rocsys also announced a $13 million Series A extension led by Capricorn Partners, with participation from Scania Invest, Forward.One, SEB Greentech Venture Capital and Graduate Ventures, bringing total funding raised to date to $56 million. [Read more…] about Rocsys raises $13 million and unveils multi-bay hands-free charging solution for robotaxis

Arrive AI using Nvidia Isaac Sim and Blackwell GPUs to develop autonomous drone delivery network

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Arrive AI, an autonomous delivery infrastructure company, says it is accelerating its artificial intelligence and robotics development using Nvidia Isaac Sim and high-performance GPU workstations powered by Nvidia Blackwell architecture.

The company is leveraging simulation-driven AI training to rapidly improve computer vision systems used in real-world automation, robotics, and autonomous delivery environments. [Read more…] about Arrive AI using Nvidia Isaac Sim and Blackwell GPUs to develop autonomous drone delivery network

Richtech Robotics now available in Microsoft Marketplace

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Richtech Robotics, a Nevada-based provider of AI-driven service robots, has announced the availability of its fleet of robotic solutions and data services in the Microsoft Marketplace, an online store providing applications and services for use on Azure.

Richtech Robotics customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management.

Richtech Robotics develops advanced robotic solutions and the data infrastructure that makes its robots more intelligent. [Read more…] about Richtech Robotics now available in Microsoft Marketplace

GFT takes AI from visual inspection to physical action for auto manufacturers

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Global digital transformation company GFT Technologies has launched its new AI-powered robotic arms designed for automotive manufacturing.

Building on the company’s existing work with Google on AI-powered visual inspection, the new technology can not only detect defective parts but also physically remove them from the assembly line – helping manufacturers improve quality and keep production moving at full speed.

While many manufacturers have adopted AI for visual inspection, most systems stop at detection. Software can flag anomalies, but human intervention is still required to act on them, creating delays and increasing the risk of defective parts moving further down the line. [Read more…] about GFT takes AI from visual inspection to physical action for auto manufacturers

Deep Robotics launches new wheeled-legged robot for industrial inspection and emergency response

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Deep Robotics has unveiled its next-generation industry-grade wheeled-legged robot, the Lynx M20S. As an iterative upgrade to the Lynx M20, the M20S achieves leapfrog advancements in three core performance areas: load capacity, protection, and speed, significantly improving industry adaptability and operational efficiency.

Designed as an intelligent, hardcore all-terrain operational platform, the launch of the Lynx M20S will further expand the application boundaries in diverse industry scenarios such as power inspection, security patrols, and emergency firefighting.

The Lynx M20S is a new-generation industry-grade wheeled-legged robot purpose-built for complex terrains and hazardous environments. [Read more…] about Deep Robotics launches new wheeled-legged robot for industrial inspection and emergency response

Fanuc strengthens Nvidia partnership for AI robot simulation and digital twins

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Fanuc has further strengthened the integration between Nvidia’s open robot simulation reference framework Nvidia Isaac Sim and Fanuc’s robot simulation software RoboGuide, enabling intuitive operation within a virtual factory and realizing highly accurate, seamlessly integrated digital twins.

At the International Robot Exhibition held last December in Tokyo, Fanuc demonstrated the technology that imports robot motion simulations created in RoboGuide into Nvidia Isaac Sim, reproducing precise trajectories and cycle times in a virtual environment using the same control algorithms as the actual robot.

Today Fanuc announces, with the enhanced integration, the two systems are now more tightly integrated, delivering an even more practical and efficient simulation environment for robot testing and virtual commissioning. [Read more…] about Fanuc strengthens Nvidia partnership for AI robot simulation and digital twins

ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

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ShengShu Technology has unveiled Motubrain, a world action model that replaces multiple task-specific systems with a single, unified model that functions as a robotic brain for the physical world.

ShenShu describes Motubrain as one brain that offers infinite possibilities for robotic intelligence.

Ranking highly on both WorldArena and RoboTwin 2.0, two of the field’s most rigorous benchmarks in embodied world models, Motubrain marks a decisive shift in an industry where robotic systems are typically built from task-specific or specialized systems. [Read more…] about ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

RLWRLD unveils ‘dexterity-first’ foundation model for humanoid robots

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RLWRLD, a physical AI company developing robotics foundation models for dexterous manipulation, unveiled RLDX-1 at “Dexterity Night in SF”, introducing a model designed to help humanoid robots perform contact-rich tasks such as grasping, pouring and tool use.

The company also reported benchmark results across humanoid tabletop, kitchen manipulation and real-world coffee-pouring evaluations, and said the model runs across multiple robot embodiments including WIRobotics’ Allex humanoid, Franka Research 3 and OpenArm.

At the launch event, Amit Goel, head of robotics ecosystem and edge AI product at Nvidia, took the stage and said: “RLWRLD is one of the core partners in the physical AI ecosystem we are building at Nvidia.” [Read more…] about RLWRLD unveils ‘dexterity-first’ foundation model for humanoid robots

Achieving Dataset Parity to Close the Robotics Training Gap

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It was in 1954 when the world witnessed its first real industrial robot, Unimate, a machine built to perform repetitive factory operations.

Fast forward to 2026: today robots like Unitree GD01 are being trained to learn adaptive mobility, AI decision-making, and terrain navigation.

In just half a century, robotics have evolved from immobile programmable arms into intelligent mobile systems capable of seeing and interacting with the physical environments around them. [Read more…] about Achieving Dataset Parity to Close the Robotics Training Gap