As you may well know if you ever tried to use them to implement under-specified tasks, state machines are not the best tool to code robot controllers. ``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...). Main features ------------- - Turns any Python function into a background *action* with the decorator ``@action``. - Robot actions are non-blocking by default: they are instanciated as futures (lightweight threads), - Actions can be cancelled at any time via signals (the ``ActionCancelled`` signal 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 ``WHEELS`` == ``LEFTWHEEL`` + ``RIGHTWHEEL``) - Create event with ``robot.every(<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). Minimum Working Example ----------------------- ...that includes the creation of a specific robot .. code:: python 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.every("my_bumper", value = True).do(move_forward) try: while True: time.sleep(0.5) except KeyboardInterrupt: pass


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