Found in Robotics News & Content, with a score of 11.50
June 15, 2022
…including GKN Powder Metallurgy and Aluflexpack. Its partners include NVIDIA, the German AI Association, Tum.ai, and iMAGE S. Covision Quality has made a lot of strides in the nearly three years since its founding, said Franz Tschimben, CEO of Covision Lab. He told Robotics 24/7 that the company has customers in Italy, Germany, Croatia, and the U.S. Covision applies deep learning to inspection The software company said it takes advantage of technologies such as deep learning, 3D modeling, and image processing to complete its work. Tschimben said the main key performance indicators (KPI) Covision focuses on include reduction of scrap…
Found in Robotics News & Content, with a score of 11.46
March 22, 2024
…Series B investors came from Microsoft, OpenAI Startup Fund, NVIDIA, Jeff Bezos (through Bezos Expeditions), Parkway Venture Capital, Intel Capital, Align Ventures, and ARK Invest. Both Microsoft and OpenAI will collaborate with Figure to develop its robots. Figure said this investment will accelerate its timeline for commercial deployment of its humanoid robot. OpenAI collaboration aims to enhancing humanoid language processing In conjunction with its Series B investment, Figure and OpenAI have entered into a collaboration agreement to develop AI models for humanoid robots, combining OpenAI's research with Figure's robotics hardware and software. The collaboration aims to help accelerate Figure's commercial…
Found in Robotics News & Content, with a score of 11.23
August 01, 2022
…has improved integration and widespread adoption of ROS and NVIDIA Jetson software packages. Developers pick from a catalog of algorithms, AI, process control, spatial recognition, and more. The robot can then be tested in a simulated environment to understand how the robot will handle various scenarios before it ever leaves the production floor. “We are honored to have AAEON offer parts that are Nimbus enabled, allowing rapid uptime by syncing with a virtual environment,” said Dr. Yehuda Elmaliah, co-founder and CEO of Cogniteam. “In a few clicks, developers benefit from a system that’s already familiar with AAEON’s hardware specifications and…
Found in Robotics News & Content, with a score of 11.23
June 01, 2017
…to optimize energy savings, and FANUC’s futuristic factory with NVIDIA’s AI platform. According to the report, AI will be a critical catalyst in overcoming current manufacturing challenges such as security concerns, lagging government initiatives, and a slowdown in cognitive technology growth due to conservative manufacturing mind-sets. Key trends in cognitive manufacturing include: ● A surge in the adoption of autonomous robots in manufacturing ● Cognitive insights generated by AI feeds on big data ● An evolving manufacturing landscape driven by machine learning ● Advancing AI in manufacturing that will push up economic growth and drive down human employment ● Growing…
Found in Robotics News & Content, with a score of 11.22
November 18, 2024
…Partnerships with Siemens Energy, SLB, AWS, Shell, BP, and NVIDIA can enable improved support and faster response times, enhancing efficiency and safety across North America. ANYmal quadruped built to inspect complex, hazardous spaces ANYbotics’ U.S. expansion brings its flagship AI-enabled quadruped inspection robot, ANYmal, closer to American operators. Designed with an IP67 rating, ANYmal can autonomously perform real-time inspections and condition monitoring across multi-floor and outdoor facilities, including navigating complex, hazardous spaces. Its capabilities can help enhance asset management by automating routine tasks, enabling predictive maintenance, and reducing human risk. ANYbotics' expansion in the U.S. will provide customers with enhanced,…
Found in Robotics News & Content, with a score of 11.06
February 16, 2021
…embedded computer, configurable with MXM form factor GPUs from NVIDIA and AMD. The system is designed for equipment manufacturers, system integrators, computer vision solution providers and end customers who need computing and graphics processing for machine vision, security, autonomous vehicles, medical imaging or edge AI applications. The global market for machine vision is expected to reach $31.1 billion by 2024, with a CAGR of 9.7%, according to BCC Research. Machine vision is used in industrial and manufacturing applications ranging from object positioning, inspection, measurement, identification and sorting. The GM-1000 uses a combination of CPU and GPU computing for artificial intelligence…
Found in Robotics News & Content, with a score of 10.93
January 20, 2022
…for commercial trucks. The company has also partnered with NVIDIA and Intel’s Mobileye unit as it builds next-generation safety and autonomous capabilities for production vehicles. Mercedes to use Luminar lidar in production Mercedes-Benz said it has developed “active and passive vehicle safety measures for almost 70 years, not only for the benefit of Mercedes drivers, but also for that of other road users.” Its technologies include advanced driver-assistance systems (ADAS) for cruise control, distance control, steering, and changing lanes. With DRIVE PILOT, Mercedes-Benz said it will offer SAE Level 3 automated driving to customers of its luxury vehicles. In December…
Found in Robotics News & Content, with a score of 10.88
December 01, 2018
…for tire simulation and vehicle performance analysis. GPU maker NVIDIA’s DRIVE Constellation is a two-server setup that lets you create a virtual driving experience. Image courtesy of NVIDIA. Although most autonomous vehicle developers are concentrating on simulating and testing how the AI program handles routine events (lane changes, road construction signs, sudden stops and so on), Tideman feels it’s equally important to conceive and test the rare but imminent events. “Unpredictable human behavior is difficult to model and adapt autonomous vehicles to anticipate human drivers!” — DE 2018 survey response “Statistically, some events only occur once in every 10,000 miles,…
Found in Robotics News & Content, with a score of 10.82
March 01, 2019
…as low-light conditions, as shown here. Image courtesy of NVIDIA. A subset of machine learning, DL helps computers learn to recognize patterns in the digital manifestations of things like sensor data, images and sounds. This enables the system to formulate predictions and ultimately make decisions. This learning occurs in an iterative, three-layered process, built on a hierarchy of neural networks. In the first layer, the system receives input data from sensors and then passes it on to what are called “hidden layers.” In the second tier, the computer performs a succession of computations on the inputs, interpreting sensory data through…
Found in Robotics News & Content, with a score of 10.55
August 31, 2023
…Rover missions. The M4 Morphobot is powered by the NVIDIA Jetson platform for artificial intelligence at the edge and robotics. The institute called the robot the M4 because it can fly, drive, walk, and do eight permutations of motion through a combination of its skills. “It grew in the number of functions that we wanted to do,” said Gharib, a professor of aeronautics and bioinspired engineering at Caltech, in a blog post. “When we proposed it to our design team, at first, they all said, ‘No.’” NASA JPL continues development Caltech funded the initial research. NASA and its Jet Propulsion…
Found in Robotics News & Content, with a score of 10.48
August 19, 2022
…upstart Recogni is going after chip-making heavyweights such as NVIDIA. Headquartered in San Jose, Calif., the company makes chips that are used in autonomous vehicles for visual perception. Recogni said its Vision Cognition Module (VCM) system enables object detection accuracy up to 1,000 m (3,280 ft.) in real time. The onboard chip can also analyze and process multiple streams of data from the autonomous vehicle's high resolution cameras at high frame rates. The company said the Peto-op class system is able to be powered using only 25W of power. It added it was able to do this by “use of…
Found in Robotics News & Content, with a score of 10.48
August 20, 2021
…announced strategic partnerships with industry leaders such as Sanmina, NVIDIA, TuSimple, and others.” AEye provides sensors for autonomous systems Founded in 2013, AEye said it provides adaptive lidar for vehicle autonomy, advanced driver-assistance systems (ADAS), and robotic vision applications. The Dublin, Calif.-based company's iDAR (Intelligent Detection and Ranging) system uses biomimicry and principles from automated targeting applications used by the military to scan the environment. iDAR focuses “on what matters most, enabling faster, more accurate, and more reliable perception,” claimed AEye. It added that iDAR is the only software-configurable lidar with integrated deterministic artificial intelligence, delivering industry-leading performance. The system…
