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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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…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…
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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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…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…
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…including scalable heterogeneous compute (CPU, GPU and NPU working together) for local perception, inference, navigation, inspection and real-time control. Intel said that its physical AI approach combines heterogeneous compute, industrial-ready silicon, real-time capabilities and open software, including OpenVINO Physical AI, Physical AI Studio and Robotics AI Suite. Intel said that its common hardware and software foundation can help consolidate mixed…
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…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…
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…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…
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…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…
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…at 1.8 GHz, a Mali G610-GPU, and an NPU with up to 6 TOPS (trillions of operations per second). JAGUAR opens up a wide range of possibilities for AI and machine learning applications, Theobroma Systems said. The JAGUAR system is designed for robust AMRs. Click on image to enlarge. Source: Theobroma Systems System has multiple interfaces, single power supply Two…
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…the NVIDIA Jetson ecosystem for GPU‑accelerated inference and who need seamless camera interfacing via GMSL/FAKRA. Systems Engineers innovating in industrial automation, agriculture, drones, and medical imaging, where ruggedness, IP‑rated enclosures, and flexible I/O are critical. “We couldn't be more pleased to partner with Connect Tech to bring their expertise in embedded and edge AI computing to stereo-vision systems powered by…
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots
