Found in Robotics News & Content, with a score of 9.30
…4.0 application readiness via high-speed communications and conformance to IEEE 1588 standards Power management, including with sleep and deep-sleep modes for unused blocks, supporting always-on capability eCV1 computing performance through the quad-core Cortex A55 64-bit CPU and the 4.6 TOPS (trillion operations per second) neural processor unit (NPU) in the eCV1 chip, which provides dedicated machine learning instructions, a patented neural network engine, and Tensor Processing Fabric Flexible image and computer vision processing for domain-specific applications The new platform also supplies developers with H.264 compression for easy video streaming, said the company. XINK's Crypto Engine includes ARM's TrustZone for security,…
Found in Robotics News & Content, with a score of 9.19
…Artificial Intelligence (AAAI), Institute of Electrical and Electronics Engineers (IEEE) and ACM, and recipient of the United States Presidential Award for Excellence in Science, Math, and Engineering Mentoring. Matarić is the founding director of the USC Robotics and Autonomous Systems Center. Behavior-based systems and distributed robotics fleet management Matarić made fundamental contributions to autonomous cognition and interaction. The ACM said her early work demonstrated that behavior-based systems (BBS) could be endowed with representation and have the expressive power to plan and learn. Her Toto system used BBS to learn maps online and optimize its behavior. Matarić researched distributed algorithms for…
Found in Robotics News & Content, with a score of 8.95
…the paper, which appeared in the latest issue of IEEE Transactions on Robotics, were the following: Tao Pang, Ph.D. ’23, co-lead author and a roboticist at Boston Dynamics AI Institute Lujie Yang, an EECS graduate student Russ Tedrake, senior author and the Toyota professor of EECS, aeronautics and astronautics, and mechanical engineering, and a member of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) In these figures, a simulated robot performs three contact-rich manipulation tasks: in-hand manipulation of a ball, picking up a plate, and manipulating a pen into a specific orientation. Source: MIT, courtesy of the researchers Reinforcement learning…
Found in Robotics News & Content, with a score of 8.94
…Standardization (ISO), the Institute of Electrical and Electronics Engineers (IEEE), and the Robotic Industries Association (RIA, part of the Association for Advancing Automation or A3). In addition, the AMR Interoperability Working Group noted that hardware changes, such as sharing chargers among robots produced by different vendors, and defining interoperability for other types of robots, such as arms, were beyond its initial scope. Other groups, such as A3 or the Advanced Robotics for Manufacturing (ARM) Institute, are working on other aspects of interoperability, said Ryden. After some discussion, the MassRobotics group decided to initially focus on basic robot-to-robot information sharing rather…
Found in Robotics News & Content, with a score of 7.84
…Force Research Laboratory, and the U.S. Air Force Artificial Intelligence Accelerator. The paper will be presented at the 2023 IEEE International Conference on Robotics and Automation (ICRA).
Found in Robotics News & Content, with a score of 7.83
…held by the Institute of Electrical and Electronics Engineers (IEEE) and the Computer Vision Foundation in Vancouver, Canada, AI2 presented a paper on Phone2Proc. The approach involves scanning a space, creating a simulated environment, and procedurally generating thousands of scenes to train a robot for possible scenarios. AI2 claimed that Phone2Proc can more easily and quickly train robots to perform in settings such as a floor covered with toys, a room whose furniture has been moved, or a cluttered workspace. Kiana Ehsani, AI2 researcher Robotics 24/7 spoke with Kiana Ehsani, one of the researchers leading the Phone2Proc effort. She studied…
Found in Robotics News & Content, with a score of 7.34
…held by the Institute of Electrical and Electronics Engineers (IEEE) in Philadelphia. The NVIDIA Robotics Research Lab plans to present papers on how robot skills can be learned in NVIDIA Isaac Sim photorealistics, physics-accurate simulation and then transferred to real systems and environments, or Sim2Real. It will also discuss how accurate localization can improve autonomous vehicle and indoor navigation, as well as the use of AI and pose estimation for robotics development. NVIDIA will also present on how service robots can reliably manipulate deformable objects, such as sponges, mops, or bedding, in warehouses or hospitals. It will describe how systems…