Found in Robotics News & Content, with a score of 0.79
…is built from the ground up to utilize NVIDIA GPU technologies,” said Jerone Floor, vice president of product at Seoul Robotics. “As we expose more customers to this technology, the demand for performance goes up and, in turn, more computing power is required.” “For example, our recently released inclement weather filter feature uses advanced AI algorithms to filter out noise caused by snow, dust, rain and hail,” he added. “With our introduction into the Metropolis program, we gain access to a robust set of resources that will further our mission to usher in a new era of autonomy.” Seoul Robotics…
Found in Robotics News & Content, with a score of 1.19
…become more perceptive and smarter. At its Spring 2022 GPU Technology Conference, or GTC, NVIDIA Corp. today announced the availability of its Jetson AGX Orin developer kit and its Isaac Nova Orin architecture for autonomous mobile robots. “Modern fulfillment centers are evolving into technical marvels — facilities operated by humans and robots working together,” said Jensen Huang, founder and CEO of NVIDIA. He said new processors, software, and simulation capabilities will lead to “the next wave of AI,” including robots able to “sense, plan, and act.” NVIDIA claimed its invention of the graphics processing unit (GPU) in 1999 “sparked the…
Found in Robotics News & Content, with a score of 0.70
…markets. “We looked at how to achieve the maximum GPU performance with the Vulkan API and talked as a working group, with individual suppliers, and with customers,” Stroud explained. “We're seeing some convergence of safety and security standards as well.” “Approval of the API was always a goal, and it was also a formal process of putting the standard in front of industry players,” he noted. “We've also gotten broad industry buy-in as well, with a vote two-and-a-half years ago. From that point on, we've worked with the organization to bring the standard to reality.” Standard promises to enable both…
Found in Robotics News & Content, with a score of 0.74
…with enterprise businesses. More customers are moving to NVIDIA’s GPU-accelerated technologies that can be developed and deployed through the cloud, said Cogniteam. Cogniteam designs Nimbus for easy use The Nimbus drag-and-drop platform enables software and hardware teams to work in parallel, cutting robotic project development time by up to 80%, Cogniteam said. Rapid uptime for cameras, spatial awareness sensors, and other advanced technologies usually take a large portion of development time and budget. Now, any developer can instantly upload to assets around the globe, thanks to cloud-based deployment, according to Cogniteam. Nimbus’ ease of use means that basic programming could…
Found in Robotics News & Content, with a score of 0.47
…central domain controller also includes the following features: Automotive GPU for applications such as 3D surround-view rendering Hardware security module, enabling the isolation of different domains and secure software provisioning PCIe high-speed interfaces for ultra-low-latency communications Processing headroom for over-the-air (OTA) software updates and testing software stacks in shadow mode CV3 block diagram. Source: Ambarella CV3 aims for simpler perception for automakers Ambarella said its domain controller can provide greater levels of perception in challenging lighting, weather, and driving conditions for ADAS and SAE Level 2 to 4 autonomous vehicles. The CV3 family’s hardware scalability allows automakers to unify their…
Found in Robotics News & Content, with a score of 0.35
…of autonomous systems at Deere. “Machine learning running on GPUs [graphics processing units] intepret the inputs.” The self-driving tractor also continuously checks its position relative to a geofence, ensuring it is operating where it is supposed to, and it is accurate to less than an inch (2.5 cm), said Kovar. Redundant safety systems include RGB and depth, and the neural network classifies each pixel on NVIDIA processors, said Pell. “If the system encounters an object it doesn't recognize, the machine stops,” he explained. “Unlike an autonomous vehicle on the road, we don't need to worry about getting rear-ended when it…
Found in Robotics News & Content, with a score of 1.27
…scalable reference development platform using multiple graphics processing units (GPUs) for 3D simulation and collaborative design. Robot fleets to benefit from optimization The number of sites deploying autonomous mobile robots (AMRs) will increase from 9,000 in 2020 to 53,000 by 2025, estimated Interact Analysis. At the same time, supply chains have strained to keep up with accelerated e-commerce demand amid worker shortages and COVID-19 restrictions, said NVIDIA. The AI and computing challenges of AMRs are similar to those of autonomous vehicles, according to the company. In industrial facilities, robots “travel miles of aisles to roll up millions of products to…
Found in Robotics News & Content, with a score of 0.73
…at NVIDIA. “TuSimple is moving from development using NVIDIA GPUs to production based on DRIVE Orin. “This new powerful and scalable ADC solution will help move the entire autonomous trucking industry forward,” he added. TuSimple steps on the gas for autonomous trucks TuSimple said its ADC is the central compute unit of an autonomous semi-truck, processing hundreds of TOPS, including mission-critical perception, planning, and actuation functions. The startup said it plans to expedite the development of an automotive-grade and scalable ADC that will be integrated into future autonomous truck production. “This strategic vertical integration will give TuSimple more control over…
Found in Robotics News & Content, with a score of 0.60
…Vijay explained. “We have a proprietary implementation that uses GPUs for visual processing and the rest on serial. We're also moving planning onto GPUs for smoother trajectories next to people.” “On the surface level, that seems easy enough to solve, but for compute for dynamic environments, you need to plan two- to three-digit trajectories,” he added. “We're also part of NVIDIA's Inception program for AI startups.” Ottonomy develops for full autonomy “The first MVPs tested our systems November-December of 2020,” said Vijay. “The robots didn't have full teleoperation, but they had wireless e-stop [emergency stopping]. There was not one instance…
Found in Robotics News & Content, with a score of 1.25
At its fall GPU Technology Conference, or GTC, this week, NVIDIA Corp. announced several new technologies intended to help robotics developers, including enhancements to the Omniverse simulation environment, the Jetson AGX Orin computer, integration with the Robot Operating System, and the NVIDIA DRIVE platform for autonomous vehicle development. For instance, Jetson AGX Orin features high-speed interfaces, faster memory bandwidth, and multimodal sensor support. This enables it to feed multiple concurrent artificial intelligence application pipelines, said NVIDIA. “As robotics and embedded computing transform manufacturing, healthcare, retail, transportation, smart cities, and other essential sectors of the economy, the demand for processing continues…
Found in Robotics News & Content, with a score of 1.08
…deep neural networks (DNNs) will be available on NVIDIA GPU Cloud (NGC) as a ROS package with examples for image segmentation and pose estimation. In addition, the New Synthetic Data Generation (SDG) workflow will allow NVIDIA Isaac Sim users to create production-quality datasets at scale for vision AI training. The company claimed that Isaac Sim on Omniverse, with out-of-the box support for ROS, is the most developer-friendly release to date. Isaac ROS GEMs offer optimized performance Isaac ROS GEMs provide packages that encompass image processing and computer vision, including DNN-based algorithms highly optimized for NVIDIA graphics processing units (GPUs) and…
Found in Robotics News & Content, with a score of 0.36
…now have access to more computing power (e.g., Nvidia GPUs, Omniverse, etc.), data, cloud-computing platforms (e.g., Amazon AWS), new hardware and advanced engineering. Many robotics startup companies are capitalizing on this “super evolution” of technology to build more intelligent and more capable machines. In parallel, there’s another phenomenon happening in the world: a “convergence of technologies.” It means that engineers are coming up with different silver bullets — engineering different algorithms, different hardware architectures, different methods, etc. — to solve the same fundamental problems. The Perl programming language motto, “there’s more than one way to do it,” perfectly captures what…