- ROS 2 Hardware Acceleration Working Group - meeting #11
- About Tesla's Optimus robot brain, a robotics hardware and software computer architecture perspective
- Chipmakers cut output, investment – but government bucks never go out of style
- Advances in computer vision propel transportation autonomy
- Meta launches AI software tools to ease switching between Nvidia, AMD chips
- Chipmakers still shoveling cash into new fabs as demand slows
- This new computer chip is ideal for AI
- Simplifying CUDA upgrades for NVIDIA Jetson users
- Detecting objects in point clouds using ROS 2 and TAO-pointpillars
ROS 2 Hardware Acceleration Working Group
Source: ROS Discourse, Septemeber 29, 2022 
We discussed Robotic Processing Unit updates and release, hardware acceleration in ROS 2 and Gazebo community survey updates and release schedule, REP-2008 updates, ROSCon and IROS hardware acceleration talks and a new WG subproject (roscore-v) that will design an open source software and hardware ROS 2 microcontroller unit (MCU) powered by RISC-V.
About Tesla's Optimus robot brain, a robotics hardware and software computer architecture perspective
Source: Acceleration Robotics, October 5, 2022 
Optimus robot isn't anything new but the team behind it believes that "their brain" is the key to conquer humanoids. This article takes a closer look at the public information available on their hardware and software computer architecture, and the evolution behind it. When compared to Optimus' latest "Bot Brain", existing open source software and hardware alternatives present a much more appealing starting point for building humanoid robots.
Source: The Register, Septemeber 30, 2022 
Micron and Kioxia announce production cuts as demand for semiconductors continues to fall. Micron's capex investment in production in 2023 will be about $8 billion, down more than 30 percent from this year. Research outfit TrendForce predicted a 15 to 20 percent cut in NAND flash pricing during this quarter.
Source: Forbes, October 4, 2022 
Computer vision as an academic discipline took off in the 1960s, primarily at universities engaged in the emerging field of artificial intelligence (AI) and machine learning. Recent advances in deep learning and artificial intelligence have further accelerated the application of computer vision to provide real-time, low latency perception and cognition.
Source: Reuters, October 3, 2022 
Facebook parent Meta Platforms Inc (META.O) has launched a new set of free software tools for artificial intelligence applications. Software could make it easier for developers to switch back and forth between different underlying chips. It is based on an open-source machine learning framework called PyTorch.
Source: The Register, Septemeber 28, 2022 
Investment in semiconductor fab equipment to hit $99 billion by the end of 2022, SEMI projects. SEMI: Industry has already increased capacity this year and will do so again in 2023. ASML reported a record $8.7 billion in orders for the second quarter of this year.
Source: Tech Xplore, October 3, 2022 
Artificial intelligence presents a major challenge to conventional computing architecture. Researchers have zeroed in on hardware redesign to deliver required improvements in speed, agility and energy usage. A team of researchers from the University of Pennsylvania's School of Engineering and Applied Science has introduced a computing architecture ideal for AI.
Source: NVIDIA Technical Blog, October 4, 2022 
NVIDIA JetPack provides a full development environment for hardware-accelerated AI-at-the-edge on Jetson platforms. NVIDIA JetPack is released on a rolling cadence with a single version of CUDA. Users on JetPack 5.0 and later can upgrade to the latest CUDA release without updating the NVIDIA jetPack version or Jetson Linux BSP (Board Support Package).
Source: NVIDIA Technical Blog, October 4, 2022 
This post presents a ROS 2 node for detecting objects in point clouds using a pretrained model from NVIDIA TAO Toolkit based on PointPillars. The node takes point clouds as input from real or simulated lidar scans and performs TensorRT-optimized inference to detect objects.
Source: ACM Transactions on Reconfigurable Technology and Systems, September 15, 2022 
Field programmable gate array (FPGA) devices present unique challenges to cybersecurity. A single software flaw could open up a breach that might allow an attacker to extract the FPGA's configuration data. This paper aims to provide the groundwork to build a solid threat-based cybersecurity design strategy.
Source: NASA/ADS, August 7, 2022 
iVisNav employs laser emitting structured beacons and precisely characterizes six degrees of freedom relative motion rates. iVisNav's embedded package must efficiently process high frequency dynamics for robust sensing and estimation. The resulting system is capable of interfacing with the photonics and implement the estimation algorithm in a field-programmable gate array.
Hardware Acceleration in Robotics Newsletters
- Hardware Acceleration in Robotics #27 - Acceleration Robotics announce and open sources ROBOTCORE®, Acceleration Robotics, AMD partner to design robotic compute architectures with ROS and more
- Hardware Acceleration in Robotics #26 - ROS2 HAWG #11 meeting, Acceleration Robotics collaborating with AMD to design next-generation robotic compute architectures with ROS and more
- Hardware Acceleration in Robotics #25 - Hard vs. Soft: Software may be eating the world, but hardware monetizes better, ROS2 HAWG #11 and more
- Hardware Acceleration in Robotics #24 - ROS Robotics Companies, SiFive RISC-V CPU cores to power NASA's next spaceflight computer and more
- Hardware Acceleration in Robotics #23 - Robot sales hit record high for 3rd straight quarter, AMD smartNICs to meld ASICs, FPGAs, Arm cores and more
- Hardware Acceleration in Robotics #22 - How Europe aims to achieve strategic autonomy for semiconductors, Amazon to acquire iRobot, iRobot laying off 10% of staff and more
- Hardware Acceleration in Robotics #21 - Adaptive computing makes robots more efficient, AMD and ECARX to collaborate on immersive digital cockpit in vehicle computing platform and more
- Hardware Acceleration in Robotics #20 - Acceleration Robotics and Harvard present collaborative research, Robotics hiring levels in the tech industry rose in June 2022 and more
- Hardware Acceleration in Robotics #19 - ABB: 62% of US businesses looking to invest in robotics, Sony making sensors for autonomous vehicles and more
- Hardware Acceleration in Robotics #18 - EFPGAs bring a 10X advantage in power and cost, Introducing QODA: the platform for hybrid quantum-classical computing and more
- Hardware Acceleration in Robotics #17 - ROS2 HAWG #10, Siemens and NVIDIA to enable industrial metaverse, Simplifying hardware acceleration for robots with ROS2 and more
ROS 2 Hardware Acceleration Working Group meetings
- Hardware Acceleration WG, meeting #10
- Hardware Acceleration WG, meeting #9
- Hardware Acceleration WG, meeting #8
- Hardware Acceleration WG, meeting #7
- Hardware Acceleration WG, meeting #6
- Hardware Acceleration WG, meeting #5
- Hardware Acceleration WG, meeting #4
- Hardware Acceleration WG, meeting #3
- Hardware Acceleration WG, meeting #2
- Hardware Acceleration WG, meeting #1
Hardware Acceleration WG, meeting #11. https://discourse.ros.org/t/hardware-acceleration-wg-meeting-11/27300/4 ↩︎
Mayoral, V. (2022, October 5). Tesla's Optimus brain hardware and software architecture. Hardware Acceleration in Robotics. https://news.accelerationrobotics.com/tesla-optimus-robot-brain-computer-architecture-hardware-software/ ↩︎
Robinson, D. (2022, September 30). Chipmakers cut output, investment as demand. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/09/30/chipmakers_cut_output/?utm_source=daily&utm_medium=newsletter&utm_content=article ↩︎
Rangwala, S. (2022, October 4). Advances in computer vision propel transportation autonomy. Forbes. https://www.forbes.com/sites/sabbirrangwala/2022/10/04/advances-in-computer-vision-propel-transportation-autonomy/?sh=6f0061e7147f ↩︎
Lee, J. L., & Nellis, S. (2022, October 3). Meta launches AI software tools to ease switching between Nvidia, AMD chips. Reuters. https://www.reuters.com/technology/meta-launches-ai-software-tools-help-speed-up-work-blog-2022-10-03/ ↩︎
Robinson, D. (2022, September 28). Chipmakers still investing in new fab kit as demand slows. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/09/28/chip_fabrication_investment_semi/?utm_source=daily&utm_medium=newsletter&utm_content=article ↩︎
Fischler, D. (2022, October 3). This new computer chip is ideal for AI. Tech Xplore - Technology and Engineering news. https://techxplore.com/news/2022-10-chip-ideal-ai.html ↩︎
Mukund, R., Sheshadri, S. H., Kini, Y., & Oh, F. (2022, October 4). Simplifying CUDA upgrades for NVIDIA Jetson users. NVIDIA Technical Blog. https://developer.nvidia.com/blog/simplifying-cuda-upgrades-for-nvidia-jetson-users/ ↩︎
Bhide, A. (2022, October 4). Detecting objects in point clouds using ROS 2 and TAO-pointpillars. NVIDIA Technical Blog. https://developer.nvidia.com/blog/detecting-objects-in-point-clouds-using-ros-2-and-tao-pointpillars/ ↩︎
Ramchander, R. B., Kookjin, S., & Manoranjan, M. (2022, August 7). An FPGA framework for interferometric vision-based navigation (iVisNav). NASA/ADS. https://ui.adsabs.harvard.edu/abs/2022arXiv220803605R/abstract ↩︎