diff --git a/py_trees/behaviours.py b/py_trees/behaviours.py
index 0c283004..6fbd3df1 100644
--- a/py_trees/behaviours.py
+++ b/py_trees/behaviours.py
@@ -16,6 +16,7 @@
 import copy
 import functools
 import operator
+import random
 import typing
 
 from . import behaviour, blackboard, common, meta
@@ -736,3 +737,47 @@ def update(self) -> common.Status:
                 "|".join(["T" if result else "F" for result in results])
             )
             return common.Status.FAILURE
+
+
+class ProbabilisticBehaviour(behaviour.Behaviour):
+    """
+    Return a status based on a probability distribution. If unspecified - a uniform distribution will be used.
+
+    Args:
+        name: name of the behaviour
+        weights: 3 probabilities that correspond to returning :data:`~py_trees.common.Status.SUCCESS`,
+           :data:`~py_trees.common.Status.FAILURE` and :data:`~py_trees.common.Status.RUNNING` respectively.
+
+    .. note:: Probability distribution does not need to be normalised, it will be normalised internally.
+
+    Raises:
+        ValueError if only some probabilities are specified
+
+    """
+
+    def __init__(self, name: str, weights: typing.Optional[typing.List[float]] = None):
+        if weights is not None and (type(weights) is not list or len(weights) != 3):
+            raise ValueError(
+                "Either all or none of the probabilities must be specified"
+            )
+
+        super(ProbabilisticBehaviour, self).__init__(name=name)
+
+        self._population = [
+            common.Status.SUCCESS,
+            common.Status.FAILURE,
+            common.Status.RUNNING,
+        ]
+        self._weights = weights if weights is not None else [1.0, 1.0, 1.0]
+
+    def update(self) -> common.Status:
+        """
+        Return a status based on a probability distribution.
+
+        Returns:
+             :data:`~py_trees.common.Status.SUCCESS` with probability weights[0],
+             :data:`~py_trees.common.Status.FAILURE` with probability weights[1] and
+             :data:`~py_trees.common.Status.RUNNING` with probability weights[2].
+        """
+        self.logger.debug("%s.update()" % self.__class__.__name__)
+        return random.choices(self._population, self._weights, k=1)[0]
diff --git a/tests/test_probabilistic_behaviour.py b/tests/test_probabilistic_behaviour.py
new file mode 100644
index 00000000..5fe0714b
--- /dev/null
+++ b/tests/test_probabilistic_behaviour.py
@@ -0,0 +1,57 @@
+#!/usr/bin/env python
+#
+# License: BSD
+#   https://raw.githubusercontent.com/splintered-reality/py_trees/devel/LICENSE
+#
+
+##############################################################################
+# Imports
+##############################################################################
+
+import py_trees
+import py_trees.console as console
+import py_trees.tests
+import pytest
+
+##############################################################################
+# Logging Level
+##############################################################################
+
+py_trees.logging.level = py_trees.logging.Level.DEBUG
+logger = py_trees.logging.Logger("Tests")
+
+##############################################################################
+# Tests
+##############################################################################
+
+
+def test_probabilistic_behaviour_workflow() -> None:
+    console.banner("Probabilistic Behaviour")
+
+    with pytest.raises(ValueError) as context:  # if raised, context survives
+        # intentional error -> silence mypy
+        unused_root = py_trees.behaviours.ProbabilisticBehaviour(  # noqa: F841 [unused]
+            name="ProbabilisticBehaviour", weights="invalid_type"  # type: ignore[arg-type]
+        )
+        py_trees.tests.print_assert_details("ValueError raised", "raised", "not raised")
+    py_trees.tests.print_assert_details("ValueError raised", "yes", "yes")
+    assert "ValueError" == context.typename
+
+    root = py_trees.behaviours.ProbabilisticBehaviour(
+        name="ProbabilisticBehaviour", weights=[0.0, 0.0, 1.0]
+    )
+
+    py_trees.tests.print_assert_details(
+        text="task not yet ticked",
+        expected=py_trees.common.Status.INVALID,
+        result=root.status,
+    )
+    assert root.status == py_trees.common.Status.INVALID
+
+    root.tick_once()
+    py_trees.tests.print_assert_details(
+        text="task ticked once",
+        expected=py_trees.common.Status.RUNNING,
+        result=root.status,
+    )
+    assert root.status == py_trees.common.Status.RUNNING