|
Take heed to this text |
At COMPUTEX 2024, Solomon VP of Analysis & Improvement Xuan-Loc Nguyen introduces the META-aivi AR + AI imaginative and prescient system for SOP validation to NVIDIA friends Madison Huang and Lori Huang. | Supply: Solomon
Solomon Know-how Corp. Yesterday announced that it can seamlessly integrate its product offerings with the NVIDIA Isaac robotics platform. The companies jointly announced their partnership at COMPUTEX 2024 in Taipei, Taiwan.
“We are delighted to integrate the NVIDIA Isaac platform into our product offerings,” said Johnny Chen, CEO of Solomon. “NVIDIA’s cutting-edge AI and robotics tools will significantly enhance our product offerings in 3D machine vision, robotics control, and augmented intelligence, thereby fueling groundbreaking innovation in industrial automation.”
The companies are collaborating to integrate Solomon’s product offerings with NVIDIA. The companions propose that their contributions can enhance Solomon’s three-dimensional robotics vision and augmented intelligence capabilities.
In 1973, Solomon pioneered groundbreaking techniques, combining cutting-edge innovations like 3D bin selection, vision-guided robots, AI-driven defect inspection, and “augmented intelligence” – a seamless blend of artificial intelligence and augmented reality. The company boasts an innovative AI-powered mannequin training feature that enables users to tailor models with remarkably efficient use of their time, distinguishing it from its peers.
.
The Solomon’s bin-picking system stands out as a shining example of successful collaboration.
The global bin-picking system market was estimated to have reached a value of approximately $1.7 billion as of 2023, according to the latest market research reports. The market analysis agency forecasted a compound annual growth rate (CAGR) of 12.5%, with the market expected to reach $5.6 billion by the end of 2033. Robotic arms and computer vision are widely recognized as the two primary technologies employed in bin-picking applications, allowing for efficient sorting and processing of various items.
As a result, Solomon’s bin-picking system is poised to experience significant enhancements courtesy of accelerated libraries built upon. According to Solomon, the proposed bin-picking system is expected to launch eight instances more efficiently via enhanced path planning and execution, thereby reducing path singularity events by a notable 50% relative to conventional algorithms?
The addition of advanced image-recognition capabilities from Solmon’s to smaller robotic cells will enable improved performance without sacrificing cycle times, according to industry leaders. NVIDIA and Solomon highlighted the significance of environmentally conscious bin selection in manufacturing plants and order selection in logistics hubs.
“With the advent of AI-powered robotics, we’ve reached a milestone moment in innovation,” declared Deepu Talla, NVIDIA’s vice chairman of robotics and edge computing. To meet this growing need, NVIDIA is developing a comprehensive, AI-powered robotics platform that empowers industry leaders to accelerate the adoption of autonomous systems across the world’s most significant sectors.
NVIDIA Isaac leverages generative AI to provide fundamental frameworks for robotics. Solomon envisions proceeding with the delivery of groundbreaking products and services by seamlessly integrating several NVIDIA Isaac technologies.
Solomon also plans to leverage its expertise in conveying intelligent automation solutions to various industries, including retail, manufacturing, and other sectors.
NVIDIA expands collaborations
Final month, RGo Robotics Inc. That will enable Isaac Robotics’ expertise to seamlessly integrate into Notion’s innovative platforms. The corporation notes that this merger will “accelerate the development of AI-driven automation.”
RGo claims to be a cutting-edge AI and computer vision system specialized in localizing, detecting obstacles, and comprehending complex scenes. By leveraging NVIDIA’s acceleration libraries, businesses reportedly aim to enable client deployments within just a few months.
The pre-installed software stack seamlessly integrates with NVIDIA’s Developer ecosystem, simplifying setup for robots operating in diverse environments, both indoors and outdoors, as defined by RGo. The company’s proprietary software enables robots to learn on the fly through computer vision, algorithms, and scalable sensor-fusion technology.
