pyRobots: a toolkit for robot executive control
`pyRobots` provides a set of Python decorators to easily turn standard functions
into background tasks which can be cancelled at anytime and to make your controller
*resource aware* (no, a robot can not turn left AND right at the same time).
It also provides a event-based mechanism to monitor specific conditions and
asynchronously trigger actions.
It finally provides a library of convenient tools to manage poses in a uniform way
(quaternions, Euler angles and 4D matrices, I look at you) and to interface with
existing middlewares (ROS, naoqi, aseba...).
`pyRobots` took some inspiration from the
$ pip install pyRobots
(or, of course, from the source)
- Turns any Python function into a background *action* with the decorator
- Robot actions are non-blocking by default: they are instanciated as futures
- Actions can be cancelled at any time via signals (the `ActionCancelled` signal
- Lock specific resources with a simple `@lock(...)` in front of the actions.
When starting, actions will wait for resources to be available if needed.
- Supports *compound resources* (like `WHEELS` == `LEFTWHEEL` + `RIGHTWHEEL`)
- Create event with `robot.whenever(<condition>).do(<action>)`
- Poses are managed explicitely and can easily be transformed from one reference
frame to another one (integrates with ROS TF when available).
- Extensive logging support to debug and replay experiments.
Support for a particular robot only require to subclass `GenericRobot` for this
robot (and, obviously, to code the actions you want your robot to perform).
[Head to readthedocs](http://pyrobots.readthedocs.org). Sparse for now.
Minimum Working Example
...that includes the creation of a specific robot
from robots import GenericRobot
from robots.decorators import action, lock
from robots.resources import Resource
from robots.signals import ActionCancelled
# create a 'lockable' resource for our robot
WHEELS = Resource("wheels")
# create (and set) one element in the robot's state. Here a bumper.
self.state.my_bumper = False
# do whatever other initialization you need :-)
def send_goal(self, pose):
# move your robot using your favorite middleware
print("Starting to move towards %s" % pose)
# stop your robot using your favorite middleware
""" We write action in a simple imperative, blocking way.
# the target pose: simply x += 1.0m in the robot's frame. pyRobots
# will handle the frames transformations as needed.
target = [1.0, 0., 0., "base_link"]
while(robot.pose.distance(robot.pose.myself(), target) > 0.1):
# robot.sleep is exactly like time.sleep, except it lets the pyrobots
# signals pass through.
# if the action is cancelled, clean up your state
with MyRobot() as robot:
# Turn on DEBUG logging.
# Shortcut for logging.getLogger("robots").setLevel(logging.DEBUG)
robot.whenever("my_bumper", value = True).do(move_forward)
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