Added data (yaml) to repo

Author: gaorkl

README.md

@@ -1,13 +1,14 @@
 # Intro
 
-Intro .
-Currently working on pypi
+Early release of the simulator simple-playgrounds
 
-# Install
+First tutorial:
+
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]( https://colab.research.google.com/github/mgarciaortiz/simple_playgrounds/blob/master/tutorials/test.ipynb)
 
-(sudo) pip install -e /path/to/package
+# Install
 
-# Tutorials
+pip3 install simple-playgrounds
 
 # Coordinates, shapes of environments
 
@@ -18,18 +19,18 @@ Carthesian coordinate system:
 
 
 Environment:
-- room shape and size: [width, length]
+- size: [width, length]
 - width along x axis, length along y axis
 
 Entities:
-- coordinates x, y
-- orientation phi
+- position x, y, phi
+- phi orientation
 - length along axis of phi = 0
 - width perpendicular to axis phi = 0
 
-Todo: add drawing to summarize coordinate system
+Examples:
 
-tuto:
+[Building a playground](https://github.com/mgarciaortiz/simple-playgrounds/blob/master/simple_playgrounds/playgrounds/collection/test/test_scene_elements.py)
+
+[Building an agent and adding sensors](https://github.com/mgarciaortiz/simple-playgrounds/blob/master/tests/test_sensors.py)
 
-markdown
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]( https://colab.research.google.com/github/mgarciaortiz/simple_playgrounds/blob/master/tutorials/test.ipynb)

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name='simple_playgrounds',
-    version='0.9.12',
+    version='0.9.13',
     description='Simulator for AGI and RL',
     author='Michael Garcia Ortiz',
     author_email='[email protected]',

simple_playgrounds/entities/agents/sensors/sensor.py

@@ -111,7 +111,7 @@ def compute_noise(self):
                 noise = numpy.random.binomial(1, proba, self.shape[0]).reshape((self.shape[0], 1))
 
             else:
-                noise = numpy.random.binomial(1, proba, (self.shape[0], self.shape[1]))
+                noise = numpy.random.binomial(1, proba, (self.shape[0], self.shape[1], 1))
 
             self.noise_application_type = 'multiplicative'
 
@@ -131,10 +131,10 @@ def update_sensor(self, *args, **kwargs):
             self.compute_noise()
 
         if self.noise_application_type == 'multiplicative':
-            self.sensor_value = self.sensor_value * self.noise
+            self.sensor_value = numpy.multiply(self.sensor_value, self.noise)
 
         else:
-            self.sensor_value = self.sensor_value + self.noise
+            self.sensor_value = numpy.add(self.sensor_value, self.noise)
 
         self.sensor_value.clip(0, self._value_range)