Nav2 Demo (Hierarchical FSM + ROS 2 Action)
This tutorial demonstrates how to integrate YASMIN with ROS 2 Navigation (Nav2) using a hierarchical state machine. Hierarchical FSMs allow you to nest state machines within states, creating modular and reusable navigation behaviors. This pattern is ideal for complex robot tasks where high-level planning (waypoint selection) is separated from low-level execution (navigation to each point).
Overview
The demo creates a two-level hierarchical state machine. The parent
state machine handles waypoint management: it creates a dictionary of
named waypoint coordinates (entrance, bathroom, livingroom, kitchen,
bedroom), randomly selects a subset for the mission, and delegates
navigation to a child state machine. The child state machine
implements the navigation loop: it retrieves the next waypoint from
the list, converts coordinates to a Pose message, sends
it to Nav2's NavigateToPose action server, and repeats
until all waypoints are visited. This structure demonstrates state
machine composition, shared blackboard data between levels, and ROS 2
action integration for real robot navigation.
The workflow consists of:
- Create Waypoints: Initialize a dictionary with 5 predefined locations (x, y, orientation_z, orientation_w).
-
Select Random Subset: Choose N random waypoints
from the dictionary based on
waypoints_numblackboard parameter. - Navigate (Hierarchical): Enter the nested navigation state machine that loops through selected waypoints, sending each to Nav2's action server.
Running the Demo
ros2 run yasmin_demos nav2_demo.py
Source Code
You can find the full source code in the yasmin_demos package.
import random
import rclpy
from geometry_msgs.msg import Pose
from nav2_msgs.action import NavigateToPose
import yasmin
from yasmin import CbState, Blackboard, StateMachine
from yasmin_ros import ActionState
from yasmin_ros import set_ros_loggers
from yasmin_ros.basic_outcomes import SUCCEED, ABORT, CANCEL
from yasmin_viewer import YasminViewerPub
# Constants for state outcomes
HAS_NEXT = "has_next" ##< Indicates there are more waypoints
END = "end" ##< Indicates no more waypoints
class Nav2State(ActionState):
"""
ActionState for navigating to a specified pose using ROS 2 Navigation.
Attributes:
None
Methods:
create_goal_handler(blackboard: Blackboard) -> NavigateToPose.Goal:
Creates the navigation goal from the blackboard.
"""
def __init__(self) -> None:
"""
Initializes the Nav2State.
Calls the parent constructor to set up the action with:
- Action type: NavigateToPose
- Action name: /navigate_to_pose
- Callback for goal creation: create_goal_handler
- Outcomes: None, since it will use default outcomes (SUCCEED, ABORT, CANCEL)
"""
super().__init__(
NavigateToPose, # action type
"/navigate_to_pose", # action name
self.create_goal_handler, # callback to create the goal
None, # outcomes
None, # callback to process the response
)
def create_goal_handler(self, blackboard: Blackboard) -> NavigateToPose.Goal:
"""
Creates a goal for navigation based on the current pose in the blackboard.
Args:
blackboard (Blackboard): The blackboard instance holding current state data.
Returns:
NavigateToPose.Goal: The constructed goal for the navigation action.
"""
goal = NavigateToPose.Goal()
goal.pose.pose = blackboard["pose"]
goal.pose.header.frame_id = "map" # Set the reference frame to 'map'
return goal
def create_waypoints(blackboard: Blackboard) -> str:
"""
Initializes waypoints in the blackboard for navigation.
Args:
blackboard (Blackboard): The blackboard instance to store waypoints.
Returns:
str: Outcome indicating success (SUCCEED).
"""
blackboard["waypoints"] = {
"entrance": [1.25, 6.30, -0.78, 0.67],
"bathroom": [4.89, 1.64, 0.0, 1.0],
"livingroom": [1.55, 4.03, -0.69, 0.72],
"kitchen": [3.79, 6.77, 0.99, 0.12],
"bedroom": [7.50, 4.89, 0.76, 0.65],
}
return SUCCEED
def take_random_waypoint(blackboard: Blackboard) -> str:
"""
Selects a random set of waypoints from the available waypoints.
Args:
blackboard (Blackboard): The blackboard instance to store random waypoints.
Returns:
str: Outcome indicating success (SUCCEED).
"""
blackboard["random_waypoints"] = random.sample(
list(blackboard["waypoints"].keys()), blackboard["waypoints_num"]
)
return SUCCEED
def get_next_waypoint(blackboard: Blackboard) -> str:
"""
Retrieves the next waypoint from the list of random waypoints.
Updates the blackboard with the pose of the next waypoint.
Args:
blackboard (Blackboard): The blackboard instance holding current state data.
Returns:
str: Outcome indicating whether there is a next waypoint (HAS_NEXT) or if
navigation is complete (END).
"""
if not blackboard["random_waypoints"]:
return END
wp_name = blackboard["random_waypoints"].pop(0) # Get the next waypoint name
wp = blackboard["waypoints"][wp_name] # Get the waypoint coordinates
pose = Pose()
pose.position.x = wp[0]
pose.position.y = wp[1]
pose.orientation.z = wp[2]
pose.orientation.w = wp[3]
blackboard["pose"] = pose # Update blackboard with new pose
blackboard["text"] = f"I have reached waypoint {wp_name}"
return HAS_NEXT
def main() -> None:
yasmin.YASMIN_LOG_INFO("yasmin_nav2_demo")
rclpy.init()
set_ros_loggers()
# Create state machines
sm = StateMachine(outcomes=[SUCCEED, ABORT, CANCEL])
nav_sm = StateMachine(outcomes=[SUCCEED, ABORT, CANCEL])
# Add states to the state machine
sm.add_state(
"CREATING_WAYPOINTS",
CbState([SUCCEED], create_waypoints),
transitions={
SUCCEED: "TAKING_RANDOM_WAYPOINTS",
},
)
sm.add_state(
"TAKING_RANDOM_WAYPOINTS",
CbState([SUCCEED], take_random_waypoint),
transitions={
SUCCEED: "NAVIGATING",
},
)
nav_sm.add_state(
"GETTING_NEXT_WAYPOINT",
CbState([END, HAS_NEXT], get_next_waypoint),
transitions={
END: SUCCEED,
HAS_NEXT: "NAVIGATING",
},
)
nav_sm.add_state(
"NAVIGATING",
Nav2State(),
transitions={
SUCCEED: "GETTING_NEXT_WAYPOINT",
CANCEL: CANCEL,
ABORT: ABORT,
},
)
sm.add_state(
"NAVIGATING",
nav_sm,
transitions={
SUCCEED: SUCCEED,
CANCEL: CANCEL,
ABORT: ABORT,
},
)
# Publish FSM information for visualization
viewer = YasminViewerPub(sm, "YASMIN_NAV2_DEMO")
# Set the number of waypoints
blackboard = Blackboard()
blackboard["waypoints_num"] = 2
# Run the state machine with the blackboard
try:
outcome = sm(blackboard)
yasmin.YASMIN_LOG_INFO(outcome)
except KeyboardInterrupt:
# Handle manual interruption
if sm.is_running():
sm.cancel_state()
finally:
viewer.cleanup()
del sm
# Shutdown ROS 2 if it's running
if rclpy.ok():
rclpy.shutdown()
if __name__ == "__main__":
main()
YASMIN