- PRESS RELEASE: Acceleration Robotics announce and open sources ROBOTCORE®, the first Robotic Processing Unit – specialized in ROS computations
- Acceleration Robotics, AMD partner to design robotic compute architectures with ROS
- Acceleration robotics partners with PlanV for a robotics-specific open source RISC-V Microcontroller
- SiFive RISC-V cores picked for Google AI compute nodes
- Arm is the new RISC/Unix, RISC-V is the new arm
- How semiconductor makers can turn a talent challenge into a competitive advantage
- India can contribute to chip making in a big way
- Intel to broaden FPGA lineup and make them at home
- Study improves agricultural robotics with 2D LiDAR technology
- Is Nvidia blunting intuitive surgical's edge in robotic surgery?
- Nvidia shuts out RISC-V software support for GPUs
- Nvidia drive Thor is a “centralized computer” for autonomous vehicles
- Develop for all six NVIDIA Jetson Orin modules with the power of one developer kit
PRESS RELEASE: Acceleration Robotics announce and open sources ROBOTCORE®, the first Robotic Processing Unit – specialized in ROS computations
Source: Acceleration Robotics, Septemeber 29, 2022 
ROBOTCORE® is a processing unit for the robotics architect that maps robotics computations efficiently to its CPUs, GPU and FPGA to obtain faster robots and with additional real-time capabilities.
Source: The Robot Report, Septemeber 23, 2022 
Acceleration Robotics and AMD are working together to develop new robotic capabilities. The collaboration will be led by Victor Mayoral-Vilches, a former Systems Architect at Xilinx. About 55% of the total commercial robots to be shipped in 2024 will use ROS, according to ABI Research.
Acceleration robotics partners with PlanV for a robotics-specific open source RISC-V Microcontroller
Source: Hackster.io, Septemeber 26, 2022 
Acceleration Robotics has announced a partnership with Germany's PlanV. The pair will build a microcontroller specifically for Robot Operating System (ROS) 2 robotics projects. Most microcontrollers are generally accepted as programmable specialized devices, but not much is robotics-specific.
Source: The Register, Septemeber 23, 2022 
SiFive says its processors are being used to manage AI workloads in Google datacenters. Multi-core RISC-V design with vector extensions, optimized for AI/ML applications. SiFive and Google were a little coy about exactly how this is packaged and used.
Source: The Next Platform, Septemeber 22, 2022 
Arm Ltd and its platoons of licensees have finally stormed the glass house - well, more of a data warehouse (literally) than a cathedral. They are firmly encamped on the no longer tiled, but concrete, floors of the old mainframe datacenters.
Source: McKinsey & Company, Septemeber 7, 2022 
Semiconductor companies are on the cusp of a decade of opportunity, but success will be predicated on the ability to attract and retain the best and brightest.
Source: thehindubusinessline, Septemeber 25, 2022 
Legislation provides for a $52 billion package to boost semiconductor manufacturing in the US. No country has an absolute monopoly over the troika of equipment, materials and services which power the ecosystem. The supply chains are the proverbial Achilles Heel for any entity since there is no absolute control over them.
Source: The Next Platform, Septemeber 27, 2022 
Intel bought Altera for $16.7 billion in 2015 because of concerns about FPGAs storming the datacenter. In June 2015, Intel thought as much as a third of servers in hyperscaler and cloud datacenters would have an FPGA accelerator.
Source: ZoOptics, Septemeber 27, 2022 
A 2D LiDAR laser-scanner-based navigation approach was used for crop row tracking in 3D. It was possible to define a reference trajectory followed by two different control strategies. A backstepping approach-based strategy and an independently considered regulation of the front and rear steering axle positions were examined.
Source: The Motley Fool, Septemeber 25, 2022 
Intuitive Surgical is one of many medical device companies using Nvidia's Orin IGX technology. The company hauled in $6 billion in revenue over the 12 months ended in June. Other big-name peers that were mentioned include Siemens Healthineers, and Stryker.
Source: HPCwire, Septemeber 23, 2022 
Nvidia has no plans to add RISC-V support for CUDA. CUDA is crucial to the company's pivot to becoming a software company. The company is moving its software stack heavily in the direction of Arm, which is behind its own homegrown CPUs. Nvidia is pairing its Hopper-based GPUs with Grace CPUs.
Source: allaboutcircuits, Septemeber 27, 2022 
At NVIDIA's most recent GTC, the company announced a new SoC to centralize the disparate computing requirements of modern vehicles.
Source: NVIDIA Technical Blog, Septemeber 22, 2022 
Jetson Orin Nano modules have up to 40 TOPS of AI performance. Jetson AGX Orin is already redefining robotics and other autonomous edge use cases. The developer kit's ability to natively emulate performance for any of the modules lets you start now.
High-performance computing for SKA transient search: use of FPGA based accelerators - a brief review
Source: arXiv, July 14, 2022 
High-Performance computing efforts with FPGA for the accelerated pulsar/transient search for the SKA. Case studies are presented from within SKA and pathfinder telescopes highlighting future opportunities. It reviews the scenario that has shifted from offline processing of the radio telescope data to digitizing several hundreds of thousands of antenna output over huge bandwidths.
Source: arXiv, July 28, 2022 
In this work, TinyYolov3 architecture is redesigned and deployed for face detection. It is a CNN based object detection method and developed for embedded systems. PYNQ-Z2 is selected as a target board which has low-end Xilinx Zynq 7020 System-on-Chip (SoC).
Hardware Acceleration in Robotics Newsletters
- 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
Wessling, B. (2022, September 23). Acceleration robotics, AMD partner to design robotic compute architectures with ROS. The Robot Report. https://www.therobotreport.com/acceleration-robotics-amd-partner-to-design-robotic-compute-architectures-with-ros/ ↩︎
Halfacree, G. (2022, September 26). Acceleration robotics partners with PlanV for a robotics-specific open source RISC-V Microcontroller. Hackster.io. https://www.hackster.io/news/acceleration-robotics-partners-with-planv-for-a-robotics-specific-open-source-risc-v-microcontroller-cf13cdd01e9a ↩︎
Robinson, D. (2022, September 23). Google uses SiFive RISC-V cores in AI compute nodes. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/09/23/google_using_sifive_riscv_cores/?utm_source=daily&utm_medium=newsletter&utm_content=article ↩︎
Morgan, T. P. (2022, September 22). The Next Platform. https://www-nextplatform-com.cdn.ampproject.org/c/s/www.nextplatform.com/2022/09/22/arm-is-the-new-risc-unix-risc-v-is-the-new-arm/amp/ ↩︎
How semiconductor makers can turn a talent challenge into a competitive advantage. (2022, September 7). McKinsey & Company. https://www.mckinsey.com/industries/semiconductors/our-insights/how-semiconductor-makers-can-turn-a-talent-challenge-into-a-competitive-advantage ↩︎
Awasthi, A. (2022, September 25). India can contribute to chip making in a big way. thehindubusinessline. https://www-thehindubusinessline-com.cdn.ampproject.org/c/s/www.thehindubusinessline.com/opinion/india-can-contribute-to-chip-making-in-a-big-way/article65935233.ece/amp/ ↩︎
Morgan, T. P. (2022, September 27). Intel to broaden FPGA lineup and make them at home. The Next Platform. https://www.nextplatform.com/2022/09/27/intel-to-broaden-fpga-lineup-and-make-them-at-home/ ↩︎
Rossolillo, N. (2022, September 25). Is Nvidia blunting intuitive surgical's edge in robotic surgery? The Motley Fool. https://www.fool.com/investing/2022/09/25/is-nvidia-blunting-intuitive-surgicals-edge-in-rob/ ↩︎
Shah, A. (2022, September 23). Nvidia shuts out RISC-V software support for GPUs. HPCwire. https://www.hpcwire.com/2022/09/23/nvidia-shuts-out-risc-v-software-support-for-gpus/ ↩︎
Hertz, J. (2022, October 27). NVIDIA DRIVE Thor is a “centralized computer” for autonomous vehicles. allaboutcircuits. https://www.allaboutcircuits.com/news/nvidia-drive-thor-centralized-computer-autonomous-vehicles/ ↩︎
Sheshadri, S. H. (2022, September 22). Develop for all six NVIDIA Jetson Orin modules with the power of one developer kit. NVIDIA Technical Blog. https://developer.nvidia.com/blog/develop-for-all-six-nvidia-jetson-orin-modules-with-the-power-of-one-developer-kit/ ↩︎