Hardware Acceleration in Robotics #6
Hardware acceleration in robotics news. ROS 2 Hardware Acceleration Architecture and conventions including cloud, Nav2 Stack integration with NVIDIA Isaac ROS GEMs, RISC-V adoption increases.
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Acceleration Robotics collaborating with AMD to design next-generation robotic compute architectures with ROS
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Acceleration Robotics announce and open sources ROBOTCORE®, the first Robotic Processing Unit – specialized in ROS computations
ROS 2 Hardware Acceleration Architecture and Conventions - REP-2008, version 2
Architectural pillars and conventions required to introduce hardware acceleration in ROS 2 in a scalable and technology-agnostic manner.
Hardware Acceleration in Robotics #5
Hardware acceleration in robotics news. Global robot software market to reach 7527 million $ in 2025, NVIDIA medical-grade chip with hardware acceleration.
Hardware Acceleration in Robotics #4
Hardware acceleration in robotics news. Updates about Single-Chip Processors, NVIDIA Jetson AGX Orin, iRobot Create 3 with ROS 2.
Hardware Acceleration in Robotics #3
Hardware acceleration in robotics news. Updates about hardware-accelerated ROS 2 Pipelines, Optimizers in SS-SAM and an interview with Rob Telson about a chip that mimicks the human brain.
Hardware accelerated ROS 2 pipelines and towards the Robotic Processing Unit (RPU)
We show how FPGAs compare to GPUs for ROS 2 graphs and propose the Robotic Processing Units (RPU), robot-specific processors that map ROS computational graphs efficiently to CPUs, FPGAs and GPUs to obtain best peformance.
Hardware Acceleration in Robotics #2
Hardware acceleration in robotics news about the NVIDIA H100 Tensor Core GPU, updates to CUDA-X Libraries and NVIDIA Isaac ROS GEMs for robot's perception, localization, and mapping.
Modern Robotics Compute Architectures
Robot behaviors are often built as computational graphs, with data flowing from sensors to compute technologies, all the way down to actuators and back. Roboticists must map these graph-like structures efficiently to computing platforms to obtain best performance.
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