Found in Robotics News & Content, with a score of 12.84
…It describes the DeepSeeColor model, which uses two convolutional neural networks to reduce backscatter and correct colors in real time on the NVIDIA Jetson Orin NX while undersea. “NVIDIA GPUs are involved in a large portion of our pipeline because, basically, when the images come in, we use DeepSeeColor to color correct them, and then we can do the fish detection and transmit that to a scientist up at the surface on a boat,” said Stewart Jamieson, a robotics Ph.D. candidate at MIT and an AI developer at WARPLab. CUREE cameras detect fish and reefs CUREE includes four forward-facing cameras,…
Found in Robotics News & Content, with a score of 8.04
…models created with generative AI can outperform traditional convolutional neural network (CNN)-based models, NVIDIA noted. “Legacy CNNs are rigid and rule-based and require lots of labeled data, slowing the development cycle,” said Talla. “Generative AI is generalizable and with natural-language prompts, anyone can get the right output.” Generative AI could add $10.5 billion in revenue for manufacturing operations worldwide by 2033, predicted ABI Research. “Generative AI will significantly accelerate deployments of AI at the edge with better generalization, ease of use, and higher accuracy than previously possible,” Talla said. “This largest-ever software expansion of our Metropolis and Isaac frameworks on…
Found in Robotics News & Content, with a score of 12.30
…physics principles rather than taking noisy data. Our deep neural networks use insect-like vision to create structured 3D geometry. We're looking for AI intelligent animals versus Web-based robotics.” Electric Sheep grows through acquisition The acquisitions of Phenix Landscape and Complete Landscape will help Electric Sheep to grow eightfold, predicted the company. It plans to offer full services including data collection rather than just robotics as a service (RaaS), asserted Murthy. “This gets to the heart of why we chose this business model,” he told Robotics 24/7. “There's an inability to unlock value from progressive automation, which is held to extremely…
Found in Robotics News & Content, with a score of 19.03
…of Slamcore, in a release. “We provide a reference neural network for identifying objects but have designed this feature with flexibility in mind. Customers can use our API to integrate their own networks and start to truly harness the power of semantic classification in 3D space.” Perceive now widely available The Perceive functions were previously available only through direct customer engagements with Slamcore. As a standard art of the SDK, they “allow many more developers to quickly add the power of semantic segmentation to their products,” said the company. Slamcore explained that Perceive builds on Position and Mapping functions to…
Found in Robotics News & Content, with a score of 7.87
…does PIGINet avoid those predefined rules? PIGINet is a neural network that takes in “Plans, Images, Goal, and Initial facts,” then predicts the probability that a task plan can be refined to find feasible motion plans. In simple terms, it employs a transformer encoder, a versatile and state-of-the-art model designed to operate on data sequences. The input sequence, in this case, is information about which task plan it is considering, images of the environment, and symbolic encodings of the initial state and the desired goal. The encoder combines the task plans, image, and text to generate a prediction regarding the…
Found in Robotics News & Content, with a score of 8.90
…Transformer for 3D Object Manipulation uses a type of neural network called a multi-view transformer to produce virtual views from the camera input. The work combines text prompts, video input and simulation to achieve 36x faster training time than the current state of the art — reducing the time needed to teach the robot from weeks to days—with a 26% improvement in the robot’s task success rate. Robots hands are grasping dexterity Researchers have taken on the challenge of creating more agile hands that can work in all kinds of settings and take on new tasks. Developers are building robotic…
Found in Robotics News & Content, with a score of 9.86
…our AMRs sense other robots or humans, but the neural network can also understand doors. If an AMR sees a lift truck, it knows when to stop. Our robot-agnostic fleet manager integrates with WMS and TMS [transportation management systems] if customers have one, and they help us to dispatch orders of higher or lower priority. Our fleet manager collaborates with human pickers and works like Uber—it tells pickers where to go next through PDAs [personal digital assistants]. How much localization have you had to do coming to the U.S. or Australia and New Zealand? Guan: We found it interesting. In…
Found in Robotics News & Content, with a score of 14.21
…modularity, claimed the company. They are powered by robust neural networks that were trained on thousands of items to be able to recognize boxes and goods of various shapes, sizes, colors, materials, and textures, said Photoneo. “The [Depalletization] algorithms can also easily recognize boxes that are very tightly packed,” said Pufflerova. “This is often a big challenge for automation systems, as it is difficult for them to differentiate the line separating two boxes from a line contouring the opening of one particular box.” “The modular nature of Depalletization allows you to use the tool as a stand-alone vision solution or…
Found in Robotics News & Content, with a score of 21.32
…industrial robots integrated with Xaba’s proprietary physics-informed deep artificial neural network model, xCognition. Xaba and Lockheed Martin identified a use case focused on a typical robotics work cell used in any aerospace factory to test how Xaba’s xCognition “synthetic brain” could empower a commercial robot with greater intelligence and understanding of its body and the task it is about to execute while ensuring required quality and tolerances are achieved. The test consisted of two phases: Phase 1: Assessing the robot’s performance in maintaining accurate and consistent trajectory positioning with and without Xaba’s xCognition. Phase 2: Performing a set of drilling…
Found in Robotics News & Content, with a score of 25.52
…Modes” (Read paper, watch video) “nerf2nerf: Pairwise Registration of Neural Radiance Fields” (Read paper, watch video) “DexGrasp-1M: Dexterous Multi-Finger Grasp Generation Through Differentiable Simulation” (Read paper, watch video) Large language models among paper topics In addition, NVIDIA will present research on machine learning: “ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models” (Read paper, watch video) “DefGraspNets: Grasp Planning on 3D Fields With Graph Neural Nets” (Read paper, watch video) “CuRobo: Parellelized Collision-Free Robot Motion Generation” (Read paper, watch video) “RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control” (Read paper, watch video) “FewSOL: A Dataset for Few-Shot Object…
Found in Robotics News & Content, with a score of 11.29
…navigational, sonar, propulsion, and data-capture technologies with sophisticated artificial neural network (ANN) intelligence, said Advanced Navigation. With support from research institutions including the University of Western Australia (UWA), Curtin University, and philanthropic organization Minderoo, Advanced Navigation said it is continuing to establish sustainable technologies to foster the growth of the blue economy, nationally and internationally. “It’s exciting to see Advanced Navigation continue to grow its team of engineers in Western Australia,” said Justin Geldard, a coastal and ocean researcher at the UWA Ocean Institute. “At UWA, we are researching how natural and artificial reef structures can protect coastlines by dissipating…
Found in Robotics News & Content, with a score of 14.38
…backed by the company’s dedicated service and support teams. Neural network recognizes billions of containers AMP added that its neural network has recognized more than 75 billion containers and packaging types in real-world conditions annually. AMP Vision is a modular computer vision system that helps operators understand material flow throughout key stages of sorting operations. When integrated with AMP Clarity, the company’s portal for recycling data and insights and robot optimization, customers can use AMP Vision to monitor real-time material characterization and performance measurement throughout a facility. AMP Vortex is designed to tackle film contamination and improve recovery of film…