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
If you use this code for your academic work, please cite it!
$ 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 (lightweight threads),
- Actions can be cancelled at any time via signals (the
ActionCancelledsignal is raised).
- 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
- Create event with
- 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. Sparse for now.
Minimum Working Example
...that includes the creation of a specific robot
import time 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") class MyRobot(GenericRobot): def __init__(self): super(MyRobot, self).__init__() # 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) def stop(self): # stop your robot using your favorite middleware print("Motion stopped") def whatever_lowlevel_method_you_need(self): pass @lock(WHEELS) @action def move_forward(robot): """ 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"] try: robot.send_goal(target) 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. robot.sleep(0.5) print("Motion succeeded") except ActionCancelled: # if the action is cancelled, clean up your state robot.stop() with MyRobot() as robot: # Turn on DEBUG logging. # Shortcut for logging.getLogger("robots").setLevel(logging.DEBUG) robot.debug() robot.whenever("my_bumper", value = True).do(move_forward) try: while True: time.sleep(0.5) except KeyboardInterrupt: pass