- Acceleration Robotics launch ROBOTCORE™ to speed-up ROS 2 robots
- ROS 2 driver now available for ABB’s robot arms
- Microchip pushes first RISC-V-based SoC FPGA to mass production
- AMD’s AI strategy comes into view with Xilinx, GPU, software plans
- AMD lines up alternate chips as it eyes a ‘post-exaflops’ future
- Co-constructing the Robot Prosperity Ecological Horizon Released the first domestic software and hardware integrated robot development platform
- LEGO-like reconfigurable AI chip stacks sensing, processing layers
- Partnership brings new capabilities to autonomous farming robot
- Improved interoperability between VPI and PyTorch
Source: businesswire, June 16, 2022 
The ROBOTCORE™ hardware acceleration framework helps roboticists build “robot chips” and make robot computations faster, more deterministic and power efficient through FPGAs and GPUs.
Source: The Robot Report, June 10, 2022 
A ROS 2 driver for ABB manipulators has been released. The package allows two modes of simulation. It can spoof ros2_control drivers for simulation in ROS. Alternatively, it can communicate with ABB's own RobotStudio software.
Source: allaboutcircuits, June 11, 2022 
Microchip continues the push for RISC-V hardware by reaching milestones with its PolarFire system-on-a-chip (SoC) field-programmable gate array (FPGA) and Mi-V ecosystem.
Source: The Register, June 13, 2022 
AMD is now hoping to become a big player in the AI compute space. The chip designer believes it has the right silicon and software coming into place. AMD's vision is to provide a broad technology roadmap across training and inference that touches cloud, edge and endpoint.
Source: HPCwire, June 10, 2022 
CEO Lisa Su says the company is diversifying risk by investing in a wider range of products. The company recently became the first chipmaker to pass the exaflops computing threshold. AMD's Frontier supercomputer topped the most recent Top500 supercomputing charts.
Co-constructing the Robot Prosperity Ecological Horizon Released the first domestic software and hardware integrated robot development platform
Source: Weixin Official Accounts Platform, June 14, 2022 
Horizon established the AIoT & Universal Robot Division and launched the Horizon Hobot Platform. The platform provides an open source, soft-hard collaborative system solution, which is compatible with robots. Dr. Yu Kai said: "We hope to unite with a wide range of industry partners to jointly create a bright future for a prosperous robot ecology".
Source: Smart2zero, June 14, 2022 
MIT engineers say they have developed a LEGO-like design for a stackable, reconfigurable artificial intelligence (AI) chip.
Source: IoT World Today, June 14, 2022 
Apex.AI is expanding its partnership with agricultural machinery manufacturer AGCO. The software development kit will bring autonomous capabilities to AGCO's Fendt Xaver concept vehicle. The battery-powered, cloud-controlled Xaver bots can autonomously plant seeds on farms 24 hours a day.
Source: NVIDIA Technical Blog, June 15, 2022 
NVIDIA Vision Programming Interface (VPI) is a computer vision and image-processing software library from NVIDIA that enables you to implement algorithms that are accelerated on different hardware backends available on NVIDIA Jetson embedded devices and discrete GPUs
Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence
Source: Nature, June 13, 2022 
Three-dimensional heterogeneous integration with advanced packaging technologies could be used to improve data bandwidth among sensors, memory and processors. Such systems are limited by a lack of hardware reconfigurability and the use of von Neumann architectures. The technology could provide energy-efficient sensor computing systems for edge computing applications.
Source: arXiv, April 25, 2022 
Perception and mapping systems are among the most computationally, memory, bandwidth intensive software components in robotics. We show how our novel opensource tracing tools and techniques for ROS 2 enable us to identify delays, bottlenecks and critical paths inside centralized, or distributed, perception and mapping system.
Source: ITM Web of Conferences, May 19, 2022 
Academics have been struggling to cope with the increasing demands on computing power for massive data processing. Most of the transistors in CPUs are used to build cache memory and control units, which are not efficient for computing operations of massive data processing. The paper first discussed the advantages and technical requirements of FPGA acceleration based on the characteristics of the Spark cluster.
Hardware Acceleration in Robotics Newsletters
- Hardware Acceleration in Robotics #13 - Three architectures that power the robotic, Festo collaborates with Isaac Sim on industrial automation, Apple announces the M2 and more
- Hardware Acceleration in Robotics #12 - ROS 2 HAWG #9, ROS developers choice awards, NVIDIA increases the power of Arm CPUs and Omniverse software and more
- Hardware Acceleration in Robotics #11 - ROS 2 Humble Hawksbill Release, NVIDIA robotics perception performance improvement for ROS 2 and more
- Hardware Acceleration in Robotics #10 - ROS 2 Humble Hawksbill with Yocto and PetaLinux, AMD's robotics starter kit for the factory of the future and more
- Hardware Acceleration in Robotics #9 - RobotCore, RISC-V CEO seeks 'world domination', NVIDIA Jetson AGX Orin, Qualcomm unveils RB6 platform and RB5 AMR reference design and more
- Hardware Acceleration in Robotics #8 - Clearpath announces TurtleBot4 flexible addition to the ROS2 ecosystem, AMD EPYC processors include FPGA AI engines and more
- Hardware Acceleration in Robotics #7 - ROS 2 HAWG - meeting #8, ROS 2 Nodes for Perception, using NVIDIA Jetson to create real-time multi-camera pipelines and more
- Hardware Acceleration in Robotics #6 - ROS 2 Hardware Acceleration Architecture including cloud, Nav2 integration with NVIDIA Isaac ROS GEMs, RISC-V chip adoption and more
- Hardware Acceleration in Robotics #5 - Global robot software market to reach 7527 million $ in 2025, NVIDIA medical-grade chip with hardware acceleration and more
- Hardware Acceleration in Robotics #4 - Single-Chip Processors, a technical review of NVIDIA Jetson Orin and the new ROS 2 iRobot Create 3 and more
ROS 2 Hardware Acceleration Working Group meetings
- 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
Acceleration robotics launch ROBOTCORE™ to speed-up ROS 2 robots. (2022, June 16). businesswire. https://www.businesswire.com/news/home/20220615005050/en/Acceleration-Robotics-Launch-ROBOTCORE™-to-Speed-up-ROS-2-Robots ↩︎
Crowe, S. (2022, June 10). ROS 2 driver now available for ABB's robot arms. The Robot Report. https://www.therobotreport.com/ros-2-driver-now-available-for-abbs-robot-arms/ ↩︎
Hertz, J. (2022, June 11). Microchip Pushes First RISC-V-based SoC FPGA to Mass Production. allaboutcircuits. https://www.allaboutcircuits.com/news/microchip-pushes-first-risc-v-based-soc-fpga-to-mass-production/ ↩︎
Martin, D. (2022, June 13). AMD’s AI strategy, from Xilinx and GPUs to software plans. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/06/13/amd_ai_strategy/ ↩︎
Shah, A. (2022, June 10). AMD lines up alternate chips as it eyes a 'post-exaflops' future. HPCwire. https://www.hpcwire.com/2022/06/10/amd-lines-up-alternate-chips-as-it-eyes-a-post-exaflops-future/ ↩︎
Pell, R. (2022, June 14). LEGO-like reconfigurable AI chip stacks sensing, processing layers. Smart2zero. https://www.smart2zero.com/en/lego-like-reconfigurable-ai-chip-stacks-sensing-processing-layers/ ↩︎
Evans, S. (2022, June 14). Partnership brings new capabilities to autonomous farming robot. IoT World Today. https://www.iotworldtoday.com/2022/06/14/partnership-brings-new-capabilities-to-autonomous-farming-robot/ ↩︎
Hiremath, S., & Maximo, A. A. (2022, June 15). Improved interoperability between VPI and PyTorch. NVIDIA Technical Blog. https://developer.nvidia.com/blog/improved-interoperability-between-vpi-and-pytorch/ ↩︎
Chanyeol, C., Hyunseok, K., Hoon, K. J., Kyu, S. M., Hanwool, T., Celesta, C. S., Min, S. J., Jiho, S., Kuangye, L., Yeongin, K., Eol, L. H., Doyoon, L., Jaeyong, L., Ikbeom, J., Subeen, P., Kanghyun, R., Hoon, B. S., Yifan, N., Hyun, K., … Jeehwan, K. (2022, June 13). Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence. Nature. https://www.nature.com/articles/s41928-022-00778-y ↩︎
Lajoie, P. Y., Bedard, C., & Beltrame, G. (2022, April 25). Analyze, Debug, Optimize: Real-Time Tracing for Perception and Mapping Systems in ROS 2. arXiv.org e-Print archive. https://arxiv.org/pdf/2204.11778.pdf ↩︎
Yuang, M., & Jun, Y. (2022, May 19). Research on heterogeneous acceleration platform based on FPGA. ITM Web of Conferences. https://www.itm-conferences.org/articles/itmconf/pdf/2022/05/itmconf_cscns2022_01029.pdf ↩︎