Found in Robotics News & Content, with a score of 10.17
…computer vision—this is state of the art—we use existing networks and a form of transfer learning.” “We work a lot outside of robotics, and we use existing data sets in those spaces,” said Sullivan. “We start with a pretrained network and fine-tune the back end. A lot of effort going into minimizing the amount of data being used. It's major thread of research throughout the computer vision community.” “In bin picking, we recently trained a neural network to determine shape and poses so it could pick one object at a time,” he said. “What is the thing—say it's a bunch…
Found in Robotics News & Content, with a score of 10.16
…incorporating surround sensors and AI software running on deep neural networks to protect the driver and the passengers in the car,” says Danny Shapiro, senior director of automotive, NVIDIA. “The technology also includes driver monitoring, and can issue alerts or take action if the driver is distracted or drowsy.” At the NVIDIA GPU Technology Conference (GTC) in March, NVIDIA announced its autonomous car simulation platform NVIDIA DRIVE Constellation is now available. It is a data center solution comprised of two side-by-side servers. The DRIVE Constellation Simulator server uses NVIDIA GPUs running DRIVE Sim software to generate the sensor output from…
Found in Robotics News & Content, with a score of 9.85
…types of garbage and recyclables and run on the network in real time,” said Jason Calaiaro, co-founder and head of engineering at AMP Robotics. “The end-to-end workflow from NVIDIA can train the neural network. We're using TensorRT and increased performance tenfold. Think of different configurations of cans—some can be crushed or in different positions. We can now recycle 90% of that garbage.” Erik Nieves, CEO of Plus One Robotics in San Antonio, Texas, provided case studies of AI-powered mobile robots that can use computer vision to work with humans in real-world warehouses. The throughput goals, product packaging, and level of…
Found in Robotics News & Content, with a score of 9.84
…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 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 9.69
…capable of generating synthetic data for training DNNs [deep neural networks] for robotics use cases. NVIDIA launched new computing platforms specifically for robotics and edge AI use cases. Key announcements include an industrial version of the flagship Jetson AGX Xavier system-on-module (SOM) and the new next-generation Jetson AGX Orin platform built on the NVIDIA Ampere architecture. It brings unprecedented computing power—200 TOPS [trillions of operations per second]—to edge devices and applications. We've seen lots of transactions around robotics software and AI startups—do you expect that trend to continue? Gopalakrishna: We definitely expect the trend of robust investments in robotics companies…
Found in Robotics News & Content, with a score of 9.67
…hadn't realized,” she said. “I was looking at using neural networks to model how people grasped objects and computer vision for manipulation back in 1994. I very rarely look back, and it was good work.” ACM also noted that Howard introduced fuzzy logic methods to model environmental uncertainty that advanced terrain classification in field robotics. NASA's SnoMote robots studied the effects of global warming on the Antarctic ice shelves. It led to the discovery of evidence of never-before-observed life on Antarctica’s sea floor. Ayanna Howard, dean of the College of Engineering at Ohio State. Source: The Ohio State University In…
Found in Robotics News & Content, with a score of 9.32
…data platform, powered by the Cortex AI deep learning neural network, can transform any physical space into a dimensionally accurate and photorealistic digital twin. More than 330,000 subscribers in over 150 countries have captured data on over 5 million spaces to better access, manage, and understand spaces, from a single property to a global portfolio of buildings. Matterport said it hosts the largest spatial data library in the world, including more than 10 billion sq. ft. of space and digital twins of all shapes and sizes. The company claimed that its 3D digital twins can improve every part of the…
Found in Robotics News & Content, with a score of 9.18
…image processing and on perception models based on deep neural networks (DNNs). These packages can reduce the load on the host CPU while providing significant performance gain, said NVIDIA. “DNN models can be used as a plug-in to develop robots,” said Gopalakrishna. “Developers could take domain-specific data for, say, a hospital, a warehouse, or a store. They could deploy a diverse set of models in real time.” The new Isaac GEMs for ROS include: SGM stereo disparity and point cloud Color space conversation and lens distortion correction AprilTags detection “We now have over 850,000 developers on Jetson, whihch has become…
Found in Robotics News & Content, with a score of 9.13
…said the company. It claimed that AMP Neuron's artificial neural network “has created the largest known real-world dataset of recyclable materials for machine learning.” With the power of this data, AMP said it has achieved two milestones: The company can now classify more than 100 different categories and characteristics of recyclables across single-stream recycling, e-scrap, and construction and demolition debris. AMP has extended its object-recognition run rate to more than 10 billion items annually. This combination of scalable accuracy and classification creates a step-level solution for data collection and measurement that materials recovery facilities can use to optimize their operations.…
Found in Robotics News & Content, with a score of 8.88
…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 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…