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At COMPUTEX 2024, Solomon VP of Analysis & Growth Xuan-Loc Nguyen introduces the META-aivi AR + AI imaginative and prescient system for SOP validation to NVIDIA visitors Madison Huang and Lori Huang. | Supply: Solomon
Solomon Expertise Corp. yesterday mentioned it’ll combine its product choices with the NVIDIA Isaac robotics platform. The businesses introduced the collaboration at COMPUTEX 2024 in Taipei, Taiwan.
“We’re thrilled to combine the NVIDIA Isaac platform into our merchandise,” said Johnny Chen, CEO of Solomon. “NVIDIA’s superior AI and robotics instruments will improve our product capabilities in 3D machine imaginative and prescient, robotics management, and augmented intelligence, serving to drive better innovation in industrial automation.”
This collaboration will give attention to integrating Solomon’s product choices with the NVIDIA Isaac robotics platform. The companions mentioned this may improve Solomon’s 3D robotics imaginative and prescient and augmented intelligence techniques.
Based in 1973, Solomon supplies superior imaginative and prescient techniques, together with 3D bin selecting, vision-guided robots, AI-based defect inspection, and “augmented intelligence” mixing synthetic intelligence and augmented actuality. The firm mentioned its embedded speedy AI mannequin coaching, which permits customers to customise fashions with minimal time funding, units it other than its competitors.
Solomon’s bin-picking system is a spotlight of the collaboration
The worldwide bin-picking system market was valued at $1.7 billion in 2023, based on Reality.MR. The market analysis agency predicted a compound annual progress charge (CAGR) of 12.5%, with the market reaching $5.6 billion by the top of 2033. Reality.MR famous that robotics and laptop imaginative and prescient are the 2 main applied sciences utilized in bin-picking purposes.
Based on the collaborators Solomon’s bin-picking system will probably be enhanced by NVIDIA Isaac Manipulator accelerated libraries, that are primarily based on NVIDIA Isaac ROS. Solomon mentioned the bin-picking system will ship eight occasions quicker path planning and execution, in addition to scale back path singularity occurrences by 50% compared with standard algorithms.
When added to the superior image-recognition functionality of Solmon’s AccuPick, these developments will allow smaller robotic cells with out compromising cycle time, mentioned the businesses. NVIDIA and Solomon mentioned that is important for environment friendly bin selecting in factories and order selecting in logistics facilities.
“The period of AI robotics has arrived,” mentioned Deepu Talla, vp of robotics and edge computing at NVIDIA. “To fulfill this demand, NVIDIA is constructing a full-stack, accelerated robotics platform to allow ecosystem leaders reminiscent of Solomon to advance deployment of autonomous machines internationally’s largest industries.”
NVIDIA Isaac contains generative AI to supply foundational fashions for robotics. Solomon mentioned it’ll proceed delivering progressive merchandise and purposes by incorporating a number of NVIDIA Isaac applied sciences.
Solomon additionally mentioned it plans to make use of this know-how to deliver smarter automation to manufacturing, retail, logistics, and different sectors.
NVIDIA expands collaborations
Final month, RGo Robotics Inc. introduced that it’s going to combine NVIDIA’s Isaac Robotics know-how into its notion platforms. The corporate mentioned the mixing will “assist advance AI-powered automation.”
RGo mentioned its Notion Engine is an AI and imaginative and prescient system for localization, impediment detection, and scene understanding. By combining it with NVIDIA Isaac Perceptor acceleration libraries, the businesses mentioned they’ll allow clients to deploy cell robots inside a number of months.
The built-in software program stack is suitable with the brand new NVIDIA Nova Orin Developer package and is meant to ease setup for robots in altering environments, each indoors and outside, defined RGo. The firm mentioned its software program helps robots study on the go utilizing laptop imaginative and prescient, AI algorithms, and scalable sensor-fusion know-how.