ABB Robotics Partners with LandingAI to Accelerate AI-Driven Robotics Applications

ABB Robotics is incorporating computer vision software from LandingAI into its RobotStudio suite, aiming to reduce application deployment time across numerous industries.
Sept. 18, 2025
3 min read

What You Will Learn

  • ABB plans to launch an upgraded software suite combining RobotStudio and LandingLens in Q1 2026 to streamline robotic application deployment.
  • Landing Lens uses large vision models pre-trained on proprietary data, reducing the need for extensive image-labeling efforts in AI training.
  • The partnership aims to address industry demands for greater flexibility, faster deployment, and reduced reliance on specialized skills in robotics.

ABB Robotics (Oerlikon, Switzerland) plans to integrate deep learning vision software from LandingAI into its own software suite. The industrial robot developer also plans to invest an undisclosed sum in LandingAI (Mountain View, CA, USA), according to a joint news release.

The goal of the partnership, which began about 18 months ago, is to speed up the deployment of new applications involving ABB’s robots in manufacturing as well as other industries such as logistics or healthcare.

ABB says the company plans to have the revamped software, combining ABB’s RobotStudio Suite with LandingAI’s LandingLens, available for customers in the first quarter of 2026. ABB claims that the product suite will reduce the amount of time required to train and deploy new robotic applications by up to 80%.

Founded in 2017, LandingAI’s flagship product, LandingLens, is a computer vision solution incorporating deep learning algorithms. The software utilizes application-specific large vision models (LVMs) to support computer vision tasks such as object recognition and image segmentation.

The LVMs are pre-trained on a set of proprietary images and videos, allowing customers to add their own images to the AI model-training process without extensive image-labeling efforts.

Related: Landing AI Announces Tool for Domain Specific Large Vision Models

Meanwhile, ABB’s RobotStudio is a programming and simulation tool for developing robotic applications such as item picking, sorting, depalletizing, and quality inspection. Through digital twin and augmented reality technologies, customers can “see” how their applications will work in real-world production environments.

In explaining the goals of the partnership, Sami Atiya, president of ABB Robotics & Discrete Automation, says, “The demand for AI in robotics is driven by the need for greater flexibility, faster commissioning cycles and a shortage of the specialist skills needed to program and operate robots. Our collaboration with LandingAI will mean installation and deployment time is done in hours instead of weeks, allowing more businesses to automate smarter, faster and more efficiently.” 

Related: How AI Vision Systems Can Succeed With Human Input

The investment in LandingAI was carried out through ABB Robotics Ventures, the strategic venture capital arm of ABB Robotics. The venture capital arm has invested around $500 million in startups related to robotics and automation since it was founded in 2009.

In the news release, ABB says the partnership with LandingAI is another step in its efforts to support what it refers to as autonomous versatile robotics, or AVR.

Related: ABB Acquires Vision Startup Sevensense

In early 2024, ABB acquired startup Sevensense—a developer of AI-enabled 3D vision navigation technology for autonomous mobile robots (AMRs).  At the time of the acquisition, Sevensense described its technology as a multi-camera Visual SLAM (simultaneous localization and mapping) solution “in-a-box” for mobile robots combined with AI-enabled local perception and navigation.

About the Author

Linda Wilson

Editor in Chief

Linda Wilson joined the team at Vision Systems Design in 2022. She has more than 25 years of experience in B2B publishing and has written for numerous publications, including Modern Healthcare, InformationWeek, Computerworld, Health Data Management, and many others. Before joining VSD, she was the senior editor at Medical Laboratory Observer, a sister publication to VSD.         

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