Pre-trained fashions, good knowledge workflows, and no-code instruments can scale back coaching time by 80% and speed up deployment, says ABB. Credit score: ABB
ABB Robotics in the present day mentioned it has invested in LandingAI to make imaginative and prescient synthetic intelligence sooner, extra intuitive, and accessible to a broader vary of customers. The collaboration contains an funding by the automation supplier via ABB Robotics Ventures, however the firms didn’t disclose monetary particulars.
“This announcement is the most recent in our decade-long journey to innovate and commercialize AI, benefitting our clients by enhancing robotic versatility and autonomy to increase the usage of robots past conventional manufacturing,” mentioned Sami Atiya, president of ABB Robotics & Discrete Automation.
“The demand for AI in robotics is pushed by the necessity for higher flexibility, sooner commissioning cycles, and a scarcity of the specialist expertise wanted to program and function robots,” he added. “Our collaboration with LandingAI will imply set up and deployment time is finished in hours as a substitute of weeks, permitting extra companies to automate smarter, sooner, and extra effectively.”
Based in 2009, ABB Ventures has invested round $500 million in startups that match ABB‘s robotic automation, electrification, and movement companies. ABB Robotics claimed that it’s the solely provider whose portfolio contains industrial automation, autonomous cell robots (AMRs), and machine automation, in addition to software program. The enterprise unit employs about 11,000 individuals in 53 nations.
LandingAI accelerates imaginative and prescient AI coaching
Andrew Ng based LandingAI in 2017. He’s the co-founder of Coursera, founding lead of Google Mind, and former chief scientist at Baidu.
Palo Alto, Calif.-based LandingAI mentioned it delivers agentic visible AI applied sciences to “empower clients to unlock the worth of visible knowledge.” The firm mentioned its techniques permit customers to maneuver AI initiatives from proofs of idea to manufacturing and notice the worth of AI.
LandingAI mentioned its LandingLens flagship product permits customers to construct, iterate, and deploy visible AI techniques shortly and simply. It famous that the deep-learning platform permits the coaching of imaginative and prescient AI to acknowledge and reply to things, patterns, or defects with no complicated programming or AI experience required.
The corporate’s applied sciences embrace Agentic Doc Extraction, which it mentioned can remodel unstructured visible knowledge from paperwork and pictures into actionable intelligence, driving effectivity at scale.
The collaboration will combine LandingAI’s software program, together with LandingLens, instantly into ABB Robotics’ personal software program suite. It’s meant to make robotic imaginative and prescient AI coaching and deployment sooner, extra intuitive, and accessible to a wider vary of customers.
“AI is advancing shortly, creating many alternatives, but additionally requiring us to continue learning and adapting new expertise,” mentioned Dan Maloney, CEO of LandingAI. “By combining LandingAI’s imaginative and prescient AI capabilities with ABB’s robots and software program, we are able to make automation extra accessible. This makes it simpler for companies to deploy and scale clever robotic techniques which might be sensible and helpful.”
LandingLens, permits customers to construct, iterate, and deploy Visible AI options shortly and simply. Credit score: ABB
ABB guarantees versatile robotics past manufacturing
Via LandingAI’s pre-trained fashions, good knowledge workflows and no-code instruments, ABB Robotics mentioned it expects to cut back robotic imaginative and prescient AI coaching and deployment time by as much as 80%. As soon as deployed, system integrators and finish customers can retrain the AI for brand new situations on their very own, unlocking “autonomous versatile robotics” or AVR, asserted ABB.
It mentioned this can be a crucial step in scaling robotic adoption in dynamic environments past conventional manufacturing, particularly in fast-moving sectors corresponding to logistics, healthcare, and meals and beverage. ABB is already piloting LandingAI’s know-how and actively working to combine it into current imaginative and prescient AI purposes, together with item-picking, sorting, depalletizing, and high quality inspection.
ABB Robotics mentioned it can supply a completely built-in AI coaching instrument inside its software program suite. It will likely be out there alongside ABB’s RobotStudio simulation and programming instrument, which options digital twin capabilities to additional simplify commissioning.
