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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 stated it would 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,” acknowledged 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 concentrate on integrating Solomon’s product choices with the NVIDIA Isaac robotics platform. The companions stated this may improve Solomon’s 3D robotics imaginative and prescient and augmented intelligence programs.
Based in 1973, Solomon supplies superior imaginative and prescient programs, together with 3D bin choosing, vision-guided robots, AI-based defect inspection, and “augmented intelligence” mixing synthetic intelligence and augmented actuality. The firm stated its embedded speedy AI mannequin coaching, which permits customers to customise fashions with minimal time funding, units it aside from 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, in line with Truth.MR. The market analysis agency predicted a compound annual development fee (CAGR) of 12.5%, with the market reaching $5.6 billion by the top of 2033. Truth.MR famous that robotics and pc imaginative and prescient are the 2 main applied sciences utilized in bin-picking functions.
In response to the collaborators Solomon’s bin-picking system will likely be enhanced by NVIDIA Isaac Manipulator accelerated libraries, that are primarily based on NVIDIA Isaac ROS. Solomon stated the bin-picking system will ship eight instances quicker path planning and execution, in addition to scale back path singularity occurrences by 50% as compared with typical 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, stated the businesses. NVIDIA and Solomon stated that is important for environment friendly bin choosing in factories and order choosing in logistics facilities.
“The period of AI robotics has arrived,” stated Deepu Talla, vice chairman of robotics and edge computing at NVIDIA. “To satisfy this demand, NVIDIA is constructing a full-stack, accelerated robotics platform to allow ecosystem leaders akin to Solomon to advance deployment of autonomous machines internationally’s largest industries.”
NVIDIA Isaac consists of generative AI to supply foundational fashions for robotics. Solomon stated it would proceed delivering modern merchandise and functions by incorporating a number of NVIDIA Isaac applied sciences.
Solomon additionally stated it plans to make use of this expertise to carry smarter automation to manufacturing, retail, logistics, and different sectors.
NVIDIA expands collaborations
Final month, RGo Robotics Inc. introduced that it’ll combine NVIDIA’s Isaac Robotics expertise into its notion platforms. The corporate stated the mixing will “assist advance AI-powered automation.”
RGo stated 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 stated they may allow prospects to deploy cellular robots inside a couple of months.
The built-in software program stack is appropriate with the brand new NVIDIA Nova Orin Developer equipment and is meant to ease setup for robots in altering environments, each indoors and outdoor, defined RGo. The firm stated its software program helps robots be taught on the go utilizing pc imaginative and prescient, AI algorithms, and scalable sensor-fusion expertise.
