Check the build configuration

Oct 13, 2025 by sorusgentrification.com 85 views

Introduction

OpenRTM-aist is a software framework for developing distributed systems, and it has been widely adopted in various fields such as robotics, automation, and IoT. In this article, we will focus on installing and building OpenRTM-aist-1.0.0 for Visual C++ 2008. We will provide a step-by-step guide on how to install the necessary dependencies and build OpenRTM-aist packages from source code.

System Requirements

Before we begin, make sure that your system meets the following requirements:

Operating System: Windows XP, Windows Vista, or Windows 7
Visual C++: Visual C++ 2008 Express Edition or Visual C++ 2008 Professional Edition
Processor: Intel Pentium 4 or AMD Athlon 64
Memory: 1 GB RAM or more
Hard Disk: 1 GB free space or more

Installing Dependencies

To build OpenRTM-aist packages, you need to install the following dependencies:

Boost: Boost is a popular C++ library that provides a wide range of functions for tasks such as file I/O, networking, and data structures. You can download the Boost library from the official website and install it on your system.
OpenCV: OpenCV is a computer vision library that provides a wide range of functions for tasks such as image processing, feature detection, and object recognition. You can download the OpenCV library from the official website and install it on your system.
Qt: Qt is a cross-platform application development framework that provides a wide range of functions for tasks such as user interface development, networking, and data storage. You can download the Qt library from the official website and install it on your system.

Building OpenRTM-aist Packages

Once you have installed the dependencies, you can build OpenRTM-aist packages from source code. Here are the steps to follow:

Download the OpenRTM-aist source code: You can download the OpenRTM-aist source code from the official website.
Extract the source code: Extract the source code to a directory on your system.
Create a build directory: Create a new directory for building OpenRTM-aist packages.
Configure the build: Run the following command to configure the build:

cmake -DCMAKE_BUILD_TYPE=Release -DBoost_INCLUDE_DIR=/path/to/boost/include -DOpenCV_INCLUDE_DIR=/path/to/opencv/include -DQt_INCLUDE_DIR=/path/to/qt/include /path/to/openrtm-aist/source/code

Build the packages: Run the following command to build the packages:

cmake --build .

Install the packages: Run the following command to install the packages:

cmake --install .

Troubleshooting

If you encounter any issues during the build process, here are some common troubleshooting tips:

Check the dependencies: Make sure that the dependencies are installed correctly and that the include directories are set correctly.
Check the build configuration: Make sure that the build configuration is set correctly and that the build directory is created correctly.
Check the build output: Check the build output for any errors or warnings.

Conclusion

In this article, we have provided a comprehensive guide on how to install and build OpenRTM-aist-1.0.0 for Visual C++ 2008. We have covered the system requirements, installing dependencies, building OpenRTM-aist packages, and troubleshooting common issues. We hope that this guide has been helpful in getting you started with OpenRTM-aist development.

Additional Resources

For more information on OpenRTM-aist, please refer to the following resources:

OpenRTM-aist official website: https://openrtm.org/
OpenRTM-aist documentation: https://openrtm.org/docs/
OpenRTM-aist community forum: https://openrtm.org/forum/

FAQs

Here are some frequently asked questions about OpenRTM-aist:

Q: What is OpenRTM-aist? A: OpenRTM-aist is a software framework for developing distributed systems.
Q: What are the system requirements for OpenRTM-aist? A: The system requirements for OpenRTM-aist are Windows XP, Windows Vista, or Windows 7, Visual C++ 2008 Express Edition or Visual C++ 2008 Professional Edition, Intel Pentium 4 or AMD Athlon 64, 1 GB RAM or more, and 1 GB free space or more.
Q: How do I install OpenRTM-aist? A: To install OpenRTM-aist, you need to download the source code, extract it, create a build directory, configure the build, build the packages, and install the packages.

License

Q: What is OpenRTM-aist?

A: OpenRTM-aist is a software framework for developing distributed systems. It provides a set of tools and libraries for building and deploying distributed applications.

Q: What are the system requirements for OpenRTM-aist?

A: The system requirements for OpenRTM-aist are:

Operating System: Windows XP, Windows Vista, or Windows 7
Visual C++: Visual C++ 2008 Express Edition or Visual C++ 2008 Professional Edition
Processor: Intel Pentium 4 or AMD Athlon 64
Memory: 1 GB RAM or more
Hard Disk: 1 GB free space or more

Q: How do I install OpenRTM-aist?

A: To install OpenRTM-aist, you need to:

Download the OpenRTM-aist source code: You can download the OpenRTM-aist source code from the official website.
Extract the source code: Extract the source code to a directory on your system.
Create a build directory: Create a new directory for building OpenRTM-aist packages.
Configure the build: Run the following command to configure the build:

cmake -DCMAKE_BUILD_TYPE=Release -DBoost_INCLUDE_DIR=/path/to/boost/include -DOpenCV_INCLUDE_DIR=/path/to/opencv/include -DQt_INCLUDE_DIR=/path/to/qt/include /path/to/openrtm-aist/source/code

Build the packages: Run the following command to build the packages:

cmake --build .

Install the packages: Run the following command to install the packages:

cmake --install .

Q: What are the dependencies required for OpenRTM-aist?

A: The dependencies required for OpenRTM-aist are:

Boost: Boost is a popular C++ library that provides a wide range of functions for tasks such as file I/O, networking, and data structures.
OpenCV: OpenCV is a computer vision library that provides a wide range of functions for tasks such as image processing, feature detection, and object recognition.
Qt: Qt is a cross-platform application development framework that provides a wide range of functions for tasks such as user interface development, networking, and data storage.

Q: How do I troubleshoot common issues with OpenRTM-aist?

A: Here are some common troubleshooting tips for OpenRTM-aist:

Check the dependencies: Make sure that the dependencies are installed correctly and that the include directories are set correctly.
Check the build configuration: Make sure that the build configuration is set correctly and that the build directory is created correctly.
Check the build output: Check the build output for any errors or warnings.

Q: What are the benefits of using OpenRTM-aist?

A: The benefits of using OpenRTM-aist include:

Distributed system development: OpenRTM-aist provides a set of tools and libraries for building and deploying distributed applications.
Cross-platform compatibility: OpenRTM-aist is compatible with multiple platforms, including Windows, Linux, and macOS.
High-performance: OpenRTM-aist is designed to provide high-performance and low-latency communication between nodes in a distributed system.

Q: How do I get started with OpenRTM-aist development?

A: To get started with OpenRTM-aist development, follow these steps:

Download the OpenRTM-aist source code: You can download the OpenRTM-aist source code from the official website.
Extract the source code: Extract the source code to a directory on your system.
Create a build directory: Create a new directory for building OpenRTM-aist packages.
Configure the build: Run the following command to configure the build:

cmake -DCMAKE_BUILD_TYPE=Release -DBoost_INCLUDE_DIR=/path/to/boost/include -DOpenCV_INCLUDE_DIR=/path/to/opencv/include -DQt_INCLUDE_DIR=/path/to/qt/include /path/to/openrtm-aist/source/code

Build the packages: Run the following command to build the packages:

cmake --build .

Install the packages: Run the following command to install the packages:

cmake --install .

Q: What are the licensing terms for OpenRTM-aist?

A: OpenRTM-aist is released under the Apache License 2.0.