A simulator of ADAM (Autonomous Domestic Ambidextrous Manipulator), a mobile robot manipulator consisting of a base with two Degrees of Freedom (DoF) and two Universal Robots UR3 of 6 DoF each.
Project description
ADAM simulator
ADAM (Autonomous Domestic Ambidextrous Manipulator) is a mobile robot manipulator consisting of a base with two Degrees of Freedom (DoF) and two Universal Robots UR3 of 6 DoF each.
The simulation was built using MuJoCo, a free and open source physics engine designed from the ground up for the purpose of model-based optimization, and in particular optimization through contacts.
Installation
Follow the next steps for installing the simulation on your device.
Requierements:
- Ubuntu
- Python 3.10.0 or higher
Install miniconda (highly-recommended)
It is highly recommended to install all the dependencies on a new virtual environment. For more information check the conda documentation for installation and environment management. For creating the environment use the following commands on the terminal.
conda create -n adam python==3.10.8
conda activate adam
Install from pip
The ADAM simulator is available as a pip package. For installing it just use:
pip install adam-sim
Install from source
Firstly, clone the repository in your system.
git clone https://github.com/vistormu/adam_simulator.git
Then, enter the directory and install the required dependencies
cd adam_simulator
pip install -r requirements.txt
Minimal Working Examples
In this example, ADAM moves the left and right wrist_2 continuously.
from adam import Simulation
from adam.entities import Configuration, Data
def main():
sim: Simulation = Simulation()
initial_data: Data = sim.load_scene()
left_configuration: Configuration = initial_data.configuration.left_manipulator
right_configuration: Configuration = initial_data.configuration.right_manipulator
while sim.is_alive:
left_configuration += Configuration(0.0, 0.0, 0.0, 0.0, 0.1, 0.0)
right_configuration -= Configuration(0.0, 0.0, 0.0, 0.0, 0.1, 0.0)
sim.render()
data: Data = sim.step(left_configuration, right_configuration)
sim.close()
if __name__ == '__main__':
main()
In this example, a list of configurations are loaded and tested on the left manipulator.
from adam import Simulation, ConfigurationsManager
from adam.entities import Configuration, Data
def main():
sim: Simulation = Simulation()
initial_data: Data = sim.load_scene()
configuration_list: list[Configuration] = ConfigurationsManager.load('test')
for configuration in configuration_list:
sim.render()
data: Data = sim.step(configuration, initial_data.configuration.right_manipulator)
sim.close()
if __name__ == '__main__':
main()
API Reference
The developed API aims to wrap the MuJoCo API in order to simply move the manipulators of ADAM. The API is object-oriented and gives type annotations.
NOTE: the documentation is still in progress.
Data class
The Data
class contains all the information related to the state of the manipulators. Currently the information offered is of the current configuration and the collision info.
class Data:
configuration: ConfigurationData
collision: CollisionData
Configuration Data class
The ConfigurationData
class contains the configuration data of the left are right manipulator separately.
class ConfigurationData:
left_manipulator: Configuration
right_manipulator: Configuration
Configuration class
The Configuration
class contains the information of a configuration of the manipulator.
class Configuration(NamedTuple):
q1: float
q2: float
q3: float
q4: float
q5: float
q6: float
def to_degrees(self) -> Configuration
def to_radians(self) -> Configuration
def to_numpy(self) -> np.ndarray
Collision Data class
The CollisionData
class contains the collision data of the left and right manipulator separately.
class CollisionData:
left_manipulator: Collision
right_manipulator: Collision
Collision class
The Collision
class contains all the information of the collision of a manipulator.
class Collision(NamedTuple):
collided: bool
vector: list[bool]
shoulder: list[str]
upper_arm: list[str]
forearm: list[str]
wrist_1: list[str]
wrist_2: list[str]
wrist_3: list[str]
Simulation class
The Simulation
class offers all the methods related to the simulation.
class Simulation:
is_alive: bool
def load_scene(self, scene: str) -> Data
def set_view(self, center: tuple[float, float, float], azimuth: float, elevation: float, distance: float) -> None
def extend_collisions(collision_dict: dict[int, str]) -> None:
def step(self, left_configuration: Configuration, right_configuration: Configuration) -> Data
def render(self, *, fps: int = 15) -> None
def close(self) -> None
Configurations Manager class
The ConfigurationsManager
class loads and saves a list of Configuration
from a .csv
file from a given directory.
class ConfigurationsManager:
@staticmethod
def load(filename: str) -> list[Configuration]
@staticmethod
def save(filename: str, configuration_list: list[Configuration]) -> None
Map Maker class
The documentation of this feature is still work in progress. Here is a Minimal Working Example meanwhile.
from adam import Simulation, MapMaker
from adam.entities import Data, Cube, Box, Capsule, Cylinder, Sphere
def main():
map_maker: MapMaker = MapMaker('assets/obstacles.xml')
# Cube 1
cube_1: Cube = Cube('cube_1')
cube_1.set_geometry(size=0.5, position=(0.5, 0.0, 0.0))
cube_1.set_dynamics(mass=1.0)
cube_1.set_appearance('#2f2f2f')
# Cube 2
cube_2: Cube = Cube('cube_2')
cube_2.set_geometry(size=0.5, position=(1.0, 0.0, 0.0))
cube_2.set_dynamics(mass=1.0)
cube_2.set_appearance(color='#b64545', alpha=0.5)
# Cube 3
cube_3: Cube = Cube('cube_3')
cube_3.set_geometry(size=0.5, position=(1.0, 0.0, 0.5))
cube_3.set_appearance('#c4c476')
# Cube 4
cube_4: Cube = Cube('cube_4')
cube_4.set_geometry(size=0.5, position=(0.5, 0.0, 0.5))
# Box
box: Box = Box('box')
box.set_geometry(size=(0.2, 0.2, 0.5), position=(1.0, 0.0, 1.0))
box.set_appearance(color=(0.2, 0.2, 0.2), alpha=0.2)
# Capsule
capsule: Capsule = Capsule('capsule')
capsule.set_geometry(size=(0.2, 0.5), position=(0.5, -0.5, 0.0))
# Cylinder
cylinder: Cylinder = Cylinder('cylinder')
cylinder.set_geometry(size=(0.2, 0.5), position=(1.0, -0.5, 0.0))
# Sphere
sphere: Sphere = Sphere('sphere')
sphere.set_geometry(size=0.25, position=(0.5, -1.0, 0.0))
map_maker.add_bodies([cube_1, cube_2, cube_3, cube_4, box, capsule, cylinder, sphere])
map_maker.create_xml()
sim: Simulation = Simulation()
initial_data: Data = sim.load_scene('assets/scene.xml')
for _ in range(1000):
sim.step(initial_data.configuration.left_manipulator, initial_data.configuration.right_manipulator)
sim.render()
if __name__ == '__main__':
main()
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