Found in Robotics News & Content, with a score of 0.69
…for AI Advantech works with NVIDIA graphics processing units (GPUs) in AGX Orin for integration with edge AI, explained Waldman. “We have five products based on NVIDIA Jetson for things like visual inspection and sensor fusion,” he said. “For instance, Advantech has partnered with Overview.ai, which has designed the plug-and-play OV20i AI vision system,” Waldman added. “We can show the ICAM-520 edge AI camera 20 parts, and it can identify what to inspect.” In addition, Advantech works with the second-generation Intel Xeon scalable processors. “We've also worked with AWS and Windows IoT on security,” said Waldman. Boards with built-in IoT…
Found in Robotics News & Content, with a score of 0.68
…microservice solves complex routing problems with multiple constraints using GPU-accelerated evolutionary algorithms. All of this happens in real time, while Isaac Mission Control coordinates the entire fleet using map data and route graphs from cuOpt to send and execute AMR commands. AI agents on the move AI agents can assist in large-scale industrial environments by, for example, managing fleets of robots in a factory or identifying streamlined configurations for human-robot collaboration in supply chain distribution centers. To build these complex agents, developers need digital twins that function as AI gyms - physically accurate environments for AI evaluation, simulation and training.…
Found in Robotics News & Content, with a score of 0.68
…adaptable cloud-based system powered by NVIDIA's graphics processing unit (GPU) and a sophisticated sensor configuration, said ABI. Representing the European market, BlueBotics has deployed over 2,500 robots and acts a technology partner who automates vehicles from original equipment manufacturers (OEMs) such as Toyota. “All these companies are demonstrating unique solutions and have excelled in innovating autonomous mobile robots,” stated Rian Whitton, Industrial, Collaborative & Commercial Robots senior analyst at ABI Research. “The shift in quality from just five years ago is considerable.” Robotic material handling market keeps growing “The autonomous material-handling market is primed for a decade of strong growth,”…
Found in Robotics News & Content, with a score of 0.66
…artificial intelligence and how it is being used for GPU-based denoising; design issues surrounding in-home robotics systems; and some advice from simulation expert Tony Abbey on analyzing shear stress for engineers. CAASE19 Virtual Conference Finally, thanks to all of you who participated in our inaugural Conference on Advancing Analysis & Simulation in Engineering (CAASE19) virtual event in October. We had a strong turnout and some excellent presentations from end users and experts in the simulation space. In fact, one of our presenters, Ryobi Die Casting’s Josh Huang, focused on metal additive manufacturing in his CAASE presentation, noting how the technology…
Found in Robotics News & Content, with a score of 0.65
…data. VTD 2019.1 supports OpenDRIVE 1.5 and OpenSCENARIO 0.9 interoperability standards and features enhanced LiDAR simulation with more accurate GPU-accelerated ray-tracing and capabilities to simulate surface interaction. It is available for Red Hat Linux 7.3, with optional Docker containerization of modules to aid the integration of VTD into customers virtual test environments and simplified deployment to cloud or on-premise infrastructure. Sources: Press materials received from the company and additional information gleaned from the company’s website.
Found in Robotics News & Content, with a score of 0.64
…only. By optimizing these processes for graphics processing units (GPUs), some tasks can now be performed interactively by the engineer because results are produced in minutes. Benchmarks show the time required to analyze the stiffness of a material is reduced by 98%. This rapid solve time, combined with the introduction of a command line interface, also enables the use of Digimat finite element models within automated cloud-based optimization workflows on high-performance computing platforms. When producing high performance structures such as aerospace components from composites, the progressive failure analysis (PFA) model makes it possible to define safety margins for a structure…
Found in Robotics News & Content, with a score of 0.64
…processes a large number of cameras and LiDAR data in real time by accelerating the full stack on the GPU and several other processors built into the NVIDIA Jetson AGX Orin module. MiR said the MiR1200 pallet jack’s ability to navigate in tight spaces with minimal changes to the existing infrastructure makes it the perfect fit for optimizing logistics efficiency and ensuring timely delivery of pallets. Teradyne Robotics, MiR’s parent company, also recently announced another partnership with NVIDIA through Universal Robots. Want to learn more about machine vision? This article was featured in the August 2024 Robotics 24/7 Special Focus…
Found in Robotics News & Content, with a score of 0.62
…Calif.-based company said it has increased sensor redundancy and GPU processing power. “Customers and OEMs aren't sensor experts, and they shouldn't have to be, which is why they constantly tell us they love our modular approach that solves one of the biggest barriers to servicing and maintaining autonomous trucks,” stated Don Burnette, founder and CEO of Kodiak Robotics. “We took a platform that our customers already love and made it better by adding more visibility, more power, and more flexibility, ultimately moving us closer down the path towards driverless deployment.” Founded in 2018, Kodiak Robotics said it has developed a…
Found in Robotics News & Content, with a score of 0.62
…to ensure their AI workloads are optimized with the latest NVIDIA software available on the NGC hub of cloud-native, GPU-optimized containers, models and industry-specific SDKs. Availability The DGX SuperPOD Solution for Enterprise is available from select NVIDIA partners worldwide. Learn more at www.nvidia.com/dgxsuperpod. In addition to the new DGX SuperPOD Solution for Enterprise, the DGX SuperPOD blueprint is available to serve as an industry guide for NVIDIA-Certified partners to plan and deploy their own DGX SuperPOD offerings, complete with services and certified support for NGC software. Sources: Press materials received from the company and additional information gleaned from the company’s…
Found in Robotics News & Content, with a score of 0.61
…with an on-board ARM processor and graphics processing unit (GPU) is in development with prototypes also currently available for purchase. PAL applies AI to wide-angle 3D vision. Source: DreamVu About PAL Mini DreamVu said that PAL Mini is the most compact omnidirectional 3D vision system, delivering 360° horizontal field of view with a vertical field of view of 80° at up to 4 megapixels and a usable depth range of 5 meters. The PAL Mini sensor can fit into a variety of robots. Source: DreamVu Because of its small size, PAL Mini is optimized for navigation systems in smaller AMRs…
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 0.58
…are NVIDIA NGC-ready, compatible with NVIDIA graphics processing units (GPUs). Developers can drag and drop the NVIDIA Isaac ROS GEMs directly in the MOV.AI development tools to quickly build high-performance robots. MOV.AI works to ease AMR development, deployment “This is exciting on several levels. First and foremost, the integration allows fast time to market for a superior product that meets the needs of today's warehouse automation challenges,” stated Motti Kushnir, CEO of MOV.AI. “Logistics is a $9 trillion industry, and automation is playing an important role in its optimization.” “Second, from MOV.AI's perspective, this is a huge achievement,” he added.…