The Hardware Robot Information Model or HRIM for short, is a common interface that facilitates interoperability among different vendors of robot hardware components with the purpose of building modular robots. HRIM focuses on the standardization of the logical interfaces between robot modules, designing a set of rules that each device has to meet in order to achieve interoperability.
Real world implementations requires taking into account the common hardware modules used in robotics. The robot modules have been classified in 7 types of devices: sensor, actuator, cognition, communication, power, ui and composite. Each type is composed by sub-types or devices related to the functionality of the module. For example, a camera is a sub-type of the sensor type and represented with the following structure:
generated/
...
├── sensor
│ ├── camera
│ │ ├── hrim_sensor_camera_msgs
│ │ │ ├── CMakeLists.txt
│ │ │ ├── msg
│ │ │ │ ├── Audio.msg
│ │ │ │ ├── CameraInfo.msg
│ │ │ │ ├── CompressedImage.msg
│ │ │ │ ├── Image.msg
│ │ │ │ ├── PTZ.msg
│ │ │ │ └── Reconfiguration.msg
│ │ │ └── package.xml
│ │ ├── hrim_sensor_camera_srvs
│ │ │ ├── CMakeLists.txt
│ │ │ ├── package.xml
│ │ │ └── srv
│ │ │ ├── SetCameraInfo.srv
│ │ │ └── SpecsCamera.srv
│ │ ├── mandatory_parameters.yaml
│ │ └── optional_parameters.yaml
...
A preliminary whitepaper about this work is available at https://arxiv.org/abs/1802.01459. Please use the following BibTex entry to cite our work:
@article{hrim,
title={An information model for modular robots: the Hardware Robot Information Model (HRIM)},
author={Zamalloa, Irati and Muguruza, Iñigo and Hernández, Alejandro and Kojcev, Risto and Mayoral, Víctor},
journal={arXiv preprint arXiv:1802.01459},
year={2018}
}
Through pip:
pip3 install hrim
Local install through pip:
# while positioned at the repository's root
pip3 install -e installator
Manually running the installator:
# while positioned at the repository's root
cd installator
sudo python3 setup.py install
The command structure would be the following:
hrim [-h] [-p {ros2}] {generate,compose,compile,list,clear} filePath [filePath ...]
Where:
-h/--help
shows script's help.
-p/--platform
should be followed by which platform (e.g. ROS 2) to generate the implementation in. Current valid values are:
{generate,compose,compile,list,clear}
is mandatory and signifies the action to take:
generated
directory on the root of the repository. It expects either the path to a valid XML model or one of the following shorthands:
model.xml
. It expects one or more models to make a composition from, in a type/subtype
or type/subtype/model
(without the file extension) format. You can get a list of all valid models making use of the list models function.generated
directory.generated
directory. It expects either the relative path from said folder to delete (i.e. sensor/imu
will delete generated/sensor/imu
, sensor
will delete all generated sensor implementations) or all to delete all generated implementations (doesn't include compositions).For further information on the model composition process, refer to our documentation.
While positioned at the repository's root all of the following are valid command executions:
hrim generate $(pwd)/models/sensor/torque/torque.xml
hrim generate ./models/sensor/torque/torque.xml
hrim -p ros2 generate /models/sensor/torque/torque.xml
hrim generate models/sensor/torque/torque.xml
hrim generate --platform ros2 all
hrim list models
hrim list implementations
hrim clear all
hrim clear sensor/imu
hrim clear sensor
hrim compose composite/arm sensor/imu actuator/gripper/gripper sensor/3dcamera/3dcamera_stereo
hrim compile model.xml
hrim compile validComposition.xml
<img src="http://rosin-project.eu/wp-content/uploads/rosin_ack_logo_wide.png" alt="rosin_logo" height="60" >
Supported by ROSIN - ROS-Industrial Quality-Assured Robot Software Components. More information: rosin-project.eu
<img src="http://rosin-project.eu/wp-content/uploads/rosin_eu_flag.jpg" alt="eu_flag" height="45" align="left" >
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 732287.