Found in Robotics News & Content, with a score of 15.26
…Imaging will introduce the Matrox GevIQ—a 10+ GbE smart network interface card (NIC) specifically for GigE Vision acquisition—along with Matrox Design Assistant X 22H2 software and the Matrox 4Sight EV7 industrial computer. “Businesses are increasingly focused on deploying automated solutions to augment their front-line workers so they can focus on more complex, higher-value workflows, and machine vision and fixed industrial scanning solutions bring this transformation to life,” said Donato Montanari, vice president and general manager of machine vision at Zebra Technologies. “We’re excited to join those attending the upcoming Vision events to demonstrate how our Zebra and Matrox Imaging solutions…
Found in Robotics News & Content, with a score of 18.12
…Tesla's Autopilot self-driving software to identify objects using trained neural networks. The video also showed the robot grasping objects at an actual workstation in Tesla's factory in Fremont, Calif. The company said it chose human-like hands with six actuators and 11 degrees of freedom, adaptive grasp, and sensor feedback because most objects are designed for human hands. Tesla developed simulations but then needed to compare them with reality for state estimation, said Anand Swaminathan, staff controls engineer at Tesla. “Reality is way more complex, with vibrations, modes, compliance, and sensor noise,” he said. “We compared what we want and reality…
Found in Robotics News & Content, with a score of 14.09
…We've transitioned from a hybrid approach relying more on neural networks to understand the scene and types of packages and make better decisions on how to pick them and how to orient end effectors. Certain suction cups have better properties for picking loose polybags, and the system knows where to place it and the overall order of picking. For the multi-pick end effector, what size or sorts of items are most commonly fulfilled? How does its throughput compare with current industry norms? Georgiev: Our end effector ranges from small envelopes of 3x3 in. flat to bigger boxes of 20x20x20 in.…
Found in Robotics News & Content, with a score of 26.15
…tackling this is through convenience stores — a huge network that supports daily life, especially in Japan, but is facing a labor shortage.” The company, founded in 2017, next plans to expand to convenience stores in the U.S., which it said is also plagued with a labor shortage in the retail industry — and where more than half of consumers say they visit one of the country’s 150,000 convenience stores at least once a month. Telexistence robots stock up at FamilyMart Telexistence will begin deploying its restocking robots, called TX SCARA, to 300 FamilyMart stores in August — and aims…
Found in Robotics News & Content, with a score of 7.18
…wider range of data, we might find that a neural network could learn to better generalize across the full scope of the problem,” said Worker and Gupta. The appearance gap can be further closed with high-fidelity 3D assets and ray tracing or path tracing-based rendering, using physically based materials such as those defined with the Material Definition Language (MDL). Validated sensor models and DR of their parameters can also help here. How to set a synthetic scene The building information model (BIM) of an indoor scene was imported into Isaac Sim from Trimble SketchUp through the NVIDIA Omniverse SketchUp Connector.…
Found in Robotics News & Content, with a score of 5.22
…more complex robotic tasks RIOS’s AI software uses artificial neural network technology that mimics how brains function in determining how to grasp and handle items, Smith explained. “Such techniques are required given the complexity and challenge of piece-picking use cases, which can include high SKU variation, changing environmental and visual conditions, difficult visual properties involved with certain SKUs, fast cycle times, and precision and accuracy requirements.” In addition, RIOS offers hybrid-cloud software for real-time monitoring of cell performance, such as count statistics, while offering application programming interfaces (APIs) for integration to WMS. RIOS partners with FANUC for articulating robotic arms,…
Found in Robotics News & Content, with a score of 19.78
…offers Neuron, Cortex, Vision, and Clarity AMP said its neural network is built on a data engine that has recognized more than 50 billion containers and packaging types in real-world conditions. The AMP Neuron AI platform continuously trains itself by recognizing different colors, textures, shapes, sizes, patterns, and even brand labels to identify materials and their recyclability. Neuron then guides robots to pick and place the material to be recycled. Designed to run 24/7, Neuron does this at superhuman speed with extremely high accuracy, according to the company. The AMP Cortex high-speed robotics system automates the identification and sorting of…
Found in Robotics News & Content, with a score of 9.80
…camera across to apriltag or a specific DNN [deep neural network],” Andrews explained. “We'll release a series of these over the coming months. By staying on the GPU, we're seeing up to a 3X speedup on Xavier and a 7X improvement on Orin on our type adaptation benchmark, which we tested running ROS 2 Foxy and Humble. Hardware acceleration is a hot topic in the ROS world right now.” Type adaptation framework benchmark performance comparing ROS 2 Foxy and ROS 2 Humble on Jetson AGX Xavier and Jetson AGX Orin. Source: NVIDIA NVIDIA and Open Robotics continue close collaboration The…
Found in Robotics News & Content, with a score of 8.60
…Marrs, senior director of product at AMP Robotics. “Our neural network is built on a data engine that has recognized more than 50 billion containers and packaging types in real-word conditions.” AMP Clarity provides key recycling data Data is seen as key to improving recycling and recovery rates for a circular economy, according to AMP Robotics. As part of the National Recycling Strategy released last year, the U.S. Environmental Protection Agency cited measurement standardization and increased data collection as one of its five objectives. In addition to secondary sortation, AMP Clarity provides data and material characterization on what recyclables are…
Found in Robotics News & Content, with a score of 16.50
…need to avoid other robots and people.” Using deep neural network strategies—types of machine learning techniques—RIT researchers trained the system components to make specific, sequenced decisions based on common tasks, but also infrequent or unusual actions that might occur in the warehouse environment. The team is also studying Wi-Fi and cellular communications networks within warehouses as viable solutions. New standards for cellular technologies permit increased individual cellular communication between individual devices, Kuhl explained. “In terms of people and vehicles interacting, could we take advantage of the sensors of multiple vehicles moving around the warehouse?” he said. “If a vehicle is…
Found in Robotics News & Content, with a score of 57.93
ENOT.ai, which stands for “Embedded Neural Network Optimization Technology,” today released its optimization technology for developers of artificial intelligence and edge AI. The Riga, Latvia-based company said its framework can make deep neural networks faster, smaller, and more energy-efficient. “Today ... neural networks are widely used in production and applications,” stated Sergey Aliamkin, founder and CEO of ENOT. “Neural networks should be more effective in terms of consumption of computational resources and affordable.” Founded in 2021, ENOT said its team includes seven engineers, among whom are several Ph.D.s in computer science. They are also three-time winners of the global Low-Power…
Found in Robotics News & Content, with a score of 14.22
…enable automatic target recognition. In addition, AO’s ensemble deep-learning neural networks power sonar-data analysis. They empower predictions that are more accurate than those of individual models, claimed Terradepth. Platform users can display seafloor objects within respective interest regions. “Our ocean data-as-a-service model will leverage our browser-based, cloud infrastructure to make accessible valuable and mission-critical data in a secure manner to internal stakeholders, as well as interested third parties,” Martzial said. “Our ODaaS platform will be able to provide on-demand ocean data access to enterprise business units, departments or customers, regardless of geography.” Terradepth AO supports decision making Terradepth said Absolute…