TLDR: ABB Robotics has made a strategic investment in California-based LandingAI to integrate generative AI into its robotic vision applications. This collaboration aims to significantly reduce the training and deployment time for robot vision AI systems by up to 80%, making advanced automation more accessible and versatile. The initiative targets expanding robot adoption into dynamic sectors such as logistics, healthcare, and food and beverage, moving beyond traditional manufacturing environments.
ABB Robotics has announced a significant strategic investment in LandingAI, a leading vision AI company based in California, to propel the integration of generative artificial intelligence into its robotic vision systems. This collaboration marks a pivotal step in ABB’s journey towards achieving truly autonomous and versatile robots, known as Autonomous Versatile Robotics (AVR™).
The core of this partnership involves embedding LandingAI’s advanced vision AI capabilities, particularly its flagship platform LandingLens™, directly into ABB Robotics’ comprehensive software suite. LandingLens is renowned for enabling the rapid training of vision AI systems, allowing them to recognize and respond to objects, patterns, or defects without requiring complex programming or specialized AI expertise.
One of the most impactful outcomes expected from this integration is a drastic reduction in the time required for robot vision AI training and deployment. ABB Robotics anticipates cutting these times by up to 80%. Furthermore, once deployed, the system will empower system integrators and end-users to retrain the AI for new scenarios independently, unlocking unprecedented levels of versatility and adaptability.
Sami Atiya, President of ABB Robotics & Discrete Automation, emphasized the strategic importance of this move, stating, “This announcement is the latest in our decade-long journey to innovate and commercialize AI, benefitting our customers by enhancing robot versatility and autonomy to expand the use of robots beyond traditional manufacturing.” He added, “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.”
Dan Maloney, CEO of LandingAI, echoed this sentiment, highlighting the accessibility aspect: “By combining LandingAI’s vision AI capabilities with ABB’s robots and software, we can make automation more accessible. This makes it easier for businesses to deploy and scale intelligent robotic systems that are practical and useful.”
This accelerated deployment and retraining capability is deemed critical for scaling robot adoption in dynamic environments, extending beyond conventional manufacturing settings. Key sectors targeted for this expansion include fast-moving industries such as logistics, healthcare, and food and beverage, where flexibility and rapid adaptation are paramount.
ABB is already actively piloting LandingAI’s technology and integrating it into its existing vision AI applications, which encompass a range of tasks including item-picking, sorting, depalletizing, and quality inspection. The company also plans to offer a fully integrated AI training tool within its software suite, available alongside its powerful simulation and programming tool, RobotStudio®, which features digital twin capabilities to further simplify commissioning.
Also Read:
- ABB Revolutionizes Robot Programming with Generative AI Assistant in RobotStudio
- SoftBank Acquires ABB Robotics for $5.4 Billion, Bolstering ‘Physical AI’ Ambitions
The capital investment in LandingAI was facilitated through ABB Robotics Ventures, the strategic venture capital unit of ABB Robotics, which focuses on driving collaboration and investment in innovative early-stage companies shaping the future of robotics and automation. Financial details of the investment were not disclosed.
