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…competing NVIDIA gaphics processing unit (GPU)-based systems, such as Jetson AGX Xavier Developer Kit and Jetson Nano Developer Kit using Isaac ROS SDK 4.6.1. AMD said it used the KV260 Starter Kit based on Kria K26 SOM, using Vitis Unified SW Platform 2021.2 and Kria Robotics Stack. Development time accounted for tool-chain setup with ROS 2, cross-compilation of host code,…
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…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,”…
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…easily integrate graphics processing unit (GPU) and lidar technology into self-driving vehicles. NVIDIA said DriveWorks is the foundation for AV software development and a trusted platform for creating and deploying applications. “Developers building on DriveWorks will be able to effectively integrate Hesai's lidar sensors into their vehicles, leading to more efficient and reliable autonomous driving systems.” “Simulation is a critical…
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…Deep Network Designer app. Additionally, GPU Coder now offers a more expansive set of networks to implement AI systems on cloud and edge devices, including Darknet-19, Darknet-53, Inception-ResNet-v2, NASNet-Large, and NASNet-Mobile. New Products, Major Updates and Enhanced Product Features R2020a includes three new products: Motor Control Blockset contains a library of motor control algorithms optimized for generating compact code as…
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…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…
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…center of the relationship is GPU-accelerated large language models (LLMs), which bring higher levels of adaptability and intelligence to various machines. The “human” brain of robotics “Autonomous robots powered by artificial intelligence are being increasingly utilized for improving efficiency, decreasing costs and tackling labor shortages,” Talla said. LLMs work as the language center in the robot “brain” and will allow…
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…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 &…
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…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…
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…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…
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…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…
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…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…
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…platform, enabling real-time sensor fusion, GPU-accelerated processing and low-latency insights at the edge. Close the loop from virtual testing to real-world deployment: Understand how NVIDIA and RealSense technologies together shorten the path from simulation to field deployment, empowering developers to prototype, validate, and deploy robotic perception systems faster than ever. About the speakers Chris Matthieu VP, Developer Ecosystem, RealSense Chris…
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…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…
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…inside the data center, where GPU racks running large-scale AI workloads generate intense transient power demands that legacy UPS infrastructure was never designed to handle. Nyobolt said that its ultra-fast charging technology is built for these environments, where downtime is not an option and performance cannot be compromised. “Nyobolt is enabling the always-on, always-moving infrastructure that physical AI demands,” said…
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…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…
GENISOM AI makes ICRA debut at conference in Vienna
World's first omni-modal evaluation including tactile sensing for…
Ultrasonic sensing enhances robotics perception
Cybernetix Ventures’ event kicks off Robotics Tech Week 2026 slate of events
