Found in Robotics News & Content, with a score of 0.93
August 03, 2022
…concurrent AI application pipelines with an NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth. With the new module, customers can develop systems using the largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multisensor fusion. Jetson AGX Orin production modules. Source: NVIDIA NVIDIA to offer multiple modules The four Jetson Orin-based production modules, which NVIDIA announced at its GPU Technology Conference (GTC), are designed to offer customers a full range of server-class AI performance. The Jetson AGX Orin 32GB module is available to purchase…
Found in Robotics News & Content, with a score of 0.92
June 21, 2021
…uses Omniverse technologies, including advanced physics simulation enabled with GPUs [graphics processing units] with PhysX 5, photorealism with real-time ray and path tracing, and Material Definition Language (MDL) support for physically based rendering. “Other solutions are good at individual tasks, but the cloud-native and multi-GPU Isaac Sim allows for scalability across applications,” Andrews said. “It can scale from the desktop using RTX massively across servers.” “Developers can easily connect a robot’s brain to a virtual world through Isaac SDK and its ROS/ROS 2 interface, fully-featured Python scripting, and plug-ins for importing robot and environment models,” NVIDIA said. Isaac Sim is…
Found in Robotics News & Content, with a score of 0.90
March 15, 2024
…RK3588 SoC with an eight-core CPU, a Mali G610 GPU, and an NPU with up to 6 TOPs with support for up to four MIPI CSI cameras. RGo Perception Engine can function in dynamic environments RGo’s Perception Engine is fully integrated into the JAGUAR board. It can track robot pose, location, and heading to centimeter-scale accuracy. RGo said its machine vision software can function in dynamic, unstructured, or repetitive environments, indoors and outdoors, and on fast-moving machines such as forklifts and cart tuggers. The companies said their system can be integrated into a wide range of industrial robots such as…
Found in Robotics News & Content, with a score of 0.89
May 29, 2023
…trillion global data center infrastructure. From graphics processing units (GPUs) accelerating computers past CPU capabilities to large language models and ChatGPT, Huang said technology and industry are at a positive “tipping point.” Omniverse hosts simulations in real time “With generative AI, you could tell a robot what you want, and it could generate animations,” Huang claimed. He showed videos that took into account real-world physics and lighting and ran in simulation without any pre-programming. NVIDIA Omniverse connects computer-aided design (CAD) software, APIs, and frameworks for generative AI running on Microsoft's Azure cloud using real-time factory data and 5G networking, enabling…
Found in Robotics News & Content, with a score of 0.89
February 02, 2024
…April 2023, Kodiak Robotics introduced its fifth-generation hardware in its autonomous truck fleet. The update increased sensor redundancy and GPU processing power. “The Ryder facility will serve as a base to conduct testing and to validate the truckport operational model,” Burnette added. “Leveraging existing infrastructure eliminates the need for Kodiak to build and develop real estate, and it allows us to focus on launching and scaling driverless truck deployment.”
Found in Robotics News & Content, with a score of 0.89
January 19, 2023
…of the NVIDIA Inception program, which provides companies with GPU (graphic processing unit) support and AI platforms guidance. The company develops unique models for every one of its gripping applications, each requiring specific data sets. Picking from piles of wet, slippery chicken and other foods can be a tricky challenge. With Omniverse and Isaac Sim, Soft Robotics can create 3D renderings of chicken parts with different backgrounds, like on conveyor belts or in bins, and with different lighting scenarios. The company taps into Isaac Replicator to develop synthetic data, generating hundreds of thousands of images per model and distributing that…
Found in Robotics News & Content, with a score of 0.82
April 12, 2021
…pick cycle.” RightHand updates features RightPick 3 includes a dual-GPU [graphics processing unit] platform that processes data more than six times faster and is designed for use even at elevated warehouse temperatures. Its new Safety Controls Unit allows for easy integration of common warehouse safety components, claimed RHR. The system also features an integrated kiosk with the RightPick console and a simple user interface, said the company. “GPUs have been driven by autonomous vehicles and gaming, but we can't change them every six months,” Martinelli acknowledged. “We went through the process of identifying products that will be supported for multiple…
Found in Robotics News & Content, with a score of 0.80
June 12, 2021
…April, nTopology introduced Version 3.0 of its software, including GPU (graphics processing unit) acceleration for geometry visualization and modification. “What used to take eight hours with a CPU now takes 10 seconds with a GPU—we're not just designing but are also iterating in real-time,” Scott said. “Rethinking geometry is more intuitive than putting numbers into an equation. We're at a unique place, combining automation with simulation and manufacturing processes.” The company is growing and looking at more use cases for its technology. “We have a lot of potential to expand,” Scott said. “We've grown from 70 people last year to…
Found in Robotics News & Content, with a score of 0.79
April 06, 2022
…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 0.79
May 01, 2019
…preventing the takeover from occurring in a timely fashion. GPU-accelerated AI Training Dynamic driving tasks as defined by the SAE include: object and event detection, recognition, and classification; object and event response; maneuver planning; steering, turning, lane keeping and lane changing; acceleration and deceleration; and showing light, signaling and gesturing. Focusing on GPU-driven autonomous car development, graphics processing unit (GPU) maker NVIDIA has developed an autonomous vehicle platform. Its DRIVE AP2X Level 2+ AutoPilot uses technology from the higher levels of autonomy. “DRIVE AP2X is a Level 2+ automated driving system. The driver is still responsible and must monitor the…
Found in Robotics News & Content, with a score of 0.77
November 06, 2024
…scalable pipelines and efficient orchestration for load balancing across GPUs. Additionally, models for filtering, captioning, and embedding need optimization to maximize throughput. NeMo Curator can overcome these challenges by streamlining data curation with automatic pipeline orchestration to reduce processing time. It supports linear scaling across multi-node multi-GPU systems, with the capability to handle over 100 petabytes of data. NVIDIA said this feature can help simplify AI development, reducing costs and accelerating time to market. NeMo Curator for video processing will be available at the end of November 2024. Robot learning community involvement at CoRL Hugging Face and NVIDIA announced at…
Found in Robotics News & Content, with a score of 0.77
May 06, 2024
…Manipulator is a collection of foundation models and modular GPU-accelerated libraries that help industrial automation companies build scalable and repeatable workflows for dynamic manipulation tasks by accelerating AI model training and task reprogramming. Foundation models are based on a transformer deep learning architecture that allows a neural network to learn by tracking relationships in data. They’re generally trained on huge datasets and can be used to process and understand sensor and robot information as magically as ChatGPT for text. This enables robot perception and decision-making like never before and provides zero-shot learning - the ability to perform tasks without prior…
