Skip to article frontmatterSkip to article content

The SmartArmStack (sas) has been developed (with this name) in support of the SmartArm robot described in Marinho et al. (2020), at the University of Tokyo. It has then been used in dozens of projects and updated in Marinho et al. (2024) for the AI Science Platform. Please cite one of these references if you use sas in your own work.

Focus on your application🔍

sas is a C++ framework with Python bindings to enable fast prototyping using ROS 2 toolchain.

ROS 2 where it shines✨

Split away ROS 2 code into client and server classes, communicate via ROS 2 without ROS 2 code.

Multiple robots🤖

Enjoy drivers for DensoWave, UR, and KUKA. With ongoing developments for Franka Emika and Unitree robots.

Please note that sas is originally based on developments circa 2013 by Murilo M. Marinho. Affiliation with the University of Tokyo has ceased on December 2023 and this project is currently affiliated with the University of Manchester.

Docker

Docker Pulls

docker run -it murilomarinho/sas:jazzy

Installation

SAS Debian Builder

Pre-requisites

LGPL Packages

The command below will add and install the sas LGPL packages via apt-get.

curl -s --compressed "https://smartarmstack.github.io/smart_arm_stack_ROS2/KEY.gpg" \
| gpg --dearmor \
| sudo tee /etc/apt/trusted.gpg.d/smartarmstack_lgpl.gpg >/dev/null
sudo curl -s --compressed -o /etc/apt/sources.list.d/smartarmstack_lgpl.list \
"https://smartarmstack.github.io/smart_arm_stack_ROS2/smartarmstack_lgpl.list"
sudo apt update
sudo apt-get install ros-jazzy-sas-*

CC BY-NC 4.0 Packages

The command below will add and install the sas CC BY-NC 4.0 packages via apt-get. Please note that they depend on sas LGPL packages.

curl -s --compressed "https://marinholab.github.io/sas_debian_builder_noncommercial/KEY.gpg" \
| gpg --dearmor \
| sudo tee /etc/apt/trusted.gpg.d/smartarmstack_cc_by_nc.gpg >/dev/null
sudo curl -s --compressed -o /etc/apt/sources.list.d/smartarmstack_cc_by_nc.list \
"https://marinholab.github.io/sas_debian_builder_noncommercial/smartarmstack_cc_by_nc.list"
sudo apt update
sudo apt-get install ros-jazzy-sas-*

Updates

After installing the packages with the command above, you can update them with

sudo apt-get update && sudo apt-get upgrade ros-jazzy-sas-*

License

SAS and ROS2

Figure 1:SAS and ROS2

sas has worked in a dual-licensing scheme, described in the dropdown boxes below.

Tutorials

Please refer to https://ros2-tutorial.readthedocs.io/en/latest/sas/index.html.

Packaging

LGPL

The PPA for the LGPL version is available at https://smartarmstack.github.io/smart_arm_stack_ROS2/. The archive is available at https://github.com/SmartArmStack/smart_arm_stack_ROS2/releases in case you need to rely on older versions.

CC BY-NC 4.0

The PPA for the CC BY-NC 4.0 version is available at https://marinholab.github.io/sas_debian_builder_noncommercial/. The archive is currently private.

Acknowledgements

SAS Dependencies

Figure 2:SAS Dependencies

The main dependencies to note are ROS2 described Macenski et al. (2022), DQ Robotics described in Adorno & Marques Marinho (2021), eigen3, and pybind11.

Packaging was made possible by instructive resources such as Hosting your own PPA repository on GitHub.

References
  1. Marinho, M. M., Harada, K., Morita, A., & Mitsuishi, M. (2020). SmartArm: Integration and validation of a versatile surgical robotic system for constrained workspaces. The International Journal of Medical Robotics and Computer Assisted Surgery, 16(2). 10.1002/rcs.2053
  2. Marinho, M. M., Quiroz-Omaña, J. J., & Harada, K. (2024). A Multiarm Robotic Platform for Scientific Exploration: Its Design, Digital Twins, and Validation. IEEE Robotics & Automation Magazine, 31(4), 10–20. 10.1109/mra.2023.3336472
  3. Macenski, S., Foote, T., Gerkey, B., Lalancette, C., & Woodall, W. (2022). Robot Operating System 2: Design, architecture, and uses in the wild. Science Robotics, 7(66). 10.1126/scirobotics.abm6074
  4. Adorno, B. V., & Marques Marinho, M. (2021). DQ Robotics: A Library for Robot Modeling and Control. IEEE Robotics & Automation Magazine, 28(3), 102–116. 10.1109/mra.2020.2997920