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mROS 2: yet another runtime environment onto embedded devices

mROS 2: yet another runtime environment onto embedded devices

ROSCon 2022

Vimeo Archive:

Speakers and Contributors:
Hideki Takase, Shintaro Hosoai, Yoichiro Hibara, Haruaki Tanaka (The University of Tokyo), Hidetoshi Yugen (Kyoto University), Shoji Morita (eSOL Co.,Ltd.)

By installing ROS 2 nodes onto embedded micro-controller, robots can acquire better real-time performance and power efficiency. Of course, micro-ROS is a de-facto environment, but it is better to have different options to realize them. This talk proposes mROS 2, which realizes an agent-less and lightweight runtime environment compatible with ROS 2 for embedded devices. It consists of basic APIs that are mostly compliant with Rclcpp for the topic communication, an embedded version of the RTPS protocol stack, and a real-time kernel. We will demonstrate that embedded nodes can now directly communicate with native ROS 2 nodes via topics efficiently.

Demonstrations a.k.a 論よりRUN:
Part1 (p.12) https://twitter.com/takasehideki/status/1505066116921524228
Part2 (p.13) https://twitter.com/takasehideki/status/1584486712780390401
Part3 (p.14) https://twitter.com/takasehideki/status/1584488359808102402

More Info (STAR please!!):


October 21, 2022

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  1. yet another runtime environment onto embedded devices Hideki Takase, Shintaro

    Hosoai, Yoichiro Hibara, Haruaki Tanaka (The University of Tokyo), Hidetoshi Yugen (Kyoto University), Shoji Morita (eSOL Co.,Ltd.) ROSCon 2022 2022/10/21 A part of this work is supported by JST CREST JPMJCR21D2 and the commissioned research (04001) by National Institute of Information and Communications Technology (NICT) , Japan.
  2. Hobby Recent R&D Affiliation Mission @takasehideki ശ ఉ ϩʔΧϧ؀ڥ ηϯγϯά

    ̇ ̇ ̇ ө૾ Ի Թ౓ ࣪౓ ѹྗ ৼಈ Edge AI ޯ഑ܭࢉɾߋ৽ -PTT 8FJHIU ਪ࿦ ੍ޚ ΢ΣΞϥϒϧ σόΠεɾ ϔϧεέΞ ϩϘοτ ϞϏϦςΟ ೖྗ ग़ྗ ϑΟʔυ όοΫ Edge AI Edge AI Edge AI Edge AI Fog AI ू໿ ෼഑ ϩʔΧϧ؀ڥ Fog AI Edge AI Edge AI ϩʔΧϧ؀ڥ Fog AI Edge AI Edge AI Cloud MEC BEAM クラウド BEAM エッジ BEAM 最適配分アルゴリズム 透過型分散プラットフォーム BEAM システム開発者 デプロイされる コード ① ③ ② ③ ③ ❤ 評価アプリ ❤ 評価アプリ ④ ④ ❤ 評価アプリ ④ ② ② ❤ 評価アプリ ④ ② ② ② ② a design infrastructure that connects all Things and Human Optimization Methodology Toward a world where anyone can easily create awesome products Cutting-Edge Platform and Design Methodology for embedded/IoT Computing
  3. 3 Platform for accelerating the development of robot systems http://www.ros.org/about-ros/

    • The essence of ROS is Plumbing — Loosely coupled arch. of ROS nodes — Easy to register, delete, and restore them — Basis is pub/sub comm. via Topic node1 node2 node3 node4 Topic1 Topic2 node5 出版(Publish) 購読(Subscribe) msg msg msg msg ROS 2/DDS communication tech. is also expected to be deployed in the IoT field • comm. performance — responsiveness (latency) — real-time performance (variation) • Power consumption Integration of Embedded Technology meets EMB for IoT!!
  4. mROS-base/mros2 4 X How to “embed”?? native ROS 2 on

    SBC micro-ROS on EMB board various kernels & boards serial, UDP, Bluetooth trans. fully compatible with rclc XRCE-DDS (with agent) mROS 2 on EMB board better perf. & mem. usage partially compatible with rclcpp only for Topic comm., and many unsupported features such as QoS, Service,,,
  5. Participant_A SPDP Endpoint Writer Reader SEDP Endpoint RTPS Endpoint HistoryCache

    Writer Reader Publisher Subscriber Topic_1 Topic_2 P_E W_E R_E W_E R_E P_E S_E T_3 P_D W_D R_D W_D R_D P_D S_D T_2 T_3 T_2 P_A C 1 D 2 B 2 P_C W_C R_C W_C R_C P_C S_C T_1 P_A T_1 T_2 P_B T_2 P_A T_1 T_2 P_C T_1 P_A T_1 T_2 P_D T_3 T_2 P_A T_1 T_2 P_E T_3 P_B W_B R_B W_B R_B P_B S_B (1) (2) (3) (4) 5 EMB GPC agent node node client node dds-xrce rtps rtps m ※GPC: General Purpose Computer EMB: Embedded Micro-controller Board Dive into comm. • RTPS: comm. protocol of DDS — SPDP/SEDP: autonomously searches/establishes communication partners/paths (w/o master) — GPOSes are essential!! (ROS 2 itself) • micro-ROS: de-fact of EMB platform — employ Micro-XRCE-DDS (default) Øagent is necessary as the master RTPS communication directly from EMB without an agent!!
  6. 6 Software Stack autonomous communication in accordance with RTPS specification

    real-time kernels for EMB contributes perf. and mem. usage pub/sub messaging for Topic partially compliant with rclcpp mROS-base/mros2 Embedded devices HAL library Kernel (ASP3, Mbed, POSIX) mROS 2 application mROS 2 comm. lib. mROS 2 API UDP stack (lwIP) RTPS (embeddedRTPS) CMSIS wrapper lightweight and efficient process by C/C++ for <~200MHz / <~1MB
  7. 7 Note: embeddedRTPS [A. Kampmann+ ITSC'2019] • Portable RTPS implementation

    by C++ —lwIP (Raw Mode) for UDP/IP —Micro-CDR for serialization — some code dependencies with FreeRTOS • Main features and contributions —Discovery: SPDP & SEDP features —Interoperability: tested with FastDDS 2.3.1 —QoS Policies: support best-effort & reliable —UDP Multicast: support multicast locators üMessage size is limited to buffer size of lwIP mROS-base/mros2 https://github.com/embedded- software-laboratory/embeddedRTPS
  8. • Steps for embedded board • Step for the host

    8 Getting started!! $ git clone https://github.com/mROS-base/mros2-mbed $ cd mros2-mbed $ ./build.bash all NUCLEO_F767ZI echoback_string $ picocom -b 115200 /dev/ttyACM0 mROS-base/mros2 $ docker run --rm -it --net=host ros:humble /bin/bash ¥ -c "mkdir -p ~/ros2/src && cd ~/ros2/src && ¥ git clone https://github.com/mROS-base/mros2-host-examples && ¥ cd ~/ros2_ws && ¥ colcon build --packages-select mros2_echoreply_string && ¥ source install/setup.bash && ¥ ros2 run mros2_echoreply_string echoreply_node "
  9. mROS-base/mros2 9 Currently Supported

  10. mROS-base/mros2 10 Evaluation [email protected] with Foxy uros-serial uros-udp uros-rtps mros2-asp3

    mros2-mbed API rclc (galactic) mROS 2 API v0.3.1 RTPS Micro XRCE DDS embeddedRTPS protocol USART UDP RTPS on UDP RTOS FreeRTOS v2 TOPPERS/ASP3 Mbed OS 6 compiler 8.3.1 9.3.1 7.3.1 10.3.1 Ubuntu20 on RPi4 /to_stm /to_linux Round-Trip Time for UInt16, Twist, String by rclcpp::WallTimer.get_clock() on the host STM32 NUCLEO-F767ZI https://github.com/mROS-base/eval/releases/tag/v0.1.1
  11. 11 Evaluation Results • UInt16 [ms] uros- serial uros- udp

    uros- rtps mros2- asp3 mros2- mbed avg 11.710 2.109 5.182 0.570 0.646 max 17.370 4.240 11.190 0.810 0.940 min 7.590 1.900 1.940 0.490 0.560 std.p 3.094 0.244 2.684 0.067 0.081 • Twist [ms] uros- serial uros- udp uros- rtps mros2- asp3 mros2- mbed avg 19.530 2.304 5.508 0.593 0.703 max 25.510 11.250 9.860 0.850 0.880 min 15.590 2.050 2.610 0.520 0.640 std.p 3.666 0.904 1.551 0.065 0.042 • mem size (binary for Twist) uros- serial uros- udp uros- rtps mros2- asp3 mros2- mbed text 209,836 233,656 174,752 90,551 393,312 data 356 356 576 16,632 3,336 bss 110,280 108,160 282,016 111,800 70,688 total 320,472 342,172 457,334 225,983 469,336 mROS-base/mros2 length of String 1 2 4 8 16 32 64 comm time [ms] 0.0 5.0 10.0 15.0 20.0 25.0 30.0 uros-serial uros-udp mros2-asp3 mros2-mbed • String
  12. mROS-base/mros2 12 https://twitter.com/takasehideki/status/ 1505066116921524228 turtlesim_node $ ros2 run mturtlesim turtlesim_node

    $ picocom /dev/ttyACM0 EMB board + analog joystick publish Twist 論よりRUN!! "ron yori run" The RUN is mightier than the word
  13. 13 論よりRUN!! part II mROS-base/mros2 mros2-mbed NUCLEO_F767ZI mros2-mbed ARCH_MAX mros2-mbed

    GR_MANGO mros2-posix RPi4 (w/o ROS 2) /to_humble /to_mros2 /to_hum ble /to_m ros2 /to_humble /to_mros2 /to_humble /to_mros2
  14. 14 論よりRUN!! Part III powered by mROS-base/mros2 robot body node

    calc. PWM node /to_pid IMU data /to_control PWM value wheeled inverted pendulum
  15. 15 Conclusion • Agent-less and lightweight runtime environment for ROS

    2 • Our Contribution — mROS 2 enables programs running on embedded devices to communicate autonomously with nodes on the native ROS 2 — mROS 2 would contribute to the construction of distributed robot systems with excellent communication performance mROS-base/mros2 If you wanna communicate only with Topic, please consider to try our mROS 2 as one of the candidates🤔🤔🤔
  16. mROS-base/mros2 Check now!! & Whatʼs next?? Please give us the

    Star! & your contribution!! https://github.com/mROS-base/mros2 • porting to other boards and kernels • implement new targets with POSIX-compliant RTOS • support QoS control, Service, Action, ... • design a dedicated board for real robots??