This package enables the creation of ROS robot environments in OpenAI Gym.

This is a fork of the original openai_ros package from The Construct, found here: https://bitbucket.org/theconstructcore/openai_ros.git

Installation is similar to other ROS packages. Simply clone it into a catkin workspace and build.

Execute the following commands:
cd ~/ros_ws/src
git clone https://github.com/roboav8r/openai_ros
cd ~/ros_ws
catkin_make
source devel/setup.bash
rosdep install openai_ros

The utexas fork is meant to represent UT-specific robots and environments for training of ROS robots in Gazebo simulation. As of now, there are two new robot environments and three new task environments, described below.

• walrus: A robot environment for the Walrus robot. It launches a typical Walrus robot with two LIDAR scanning rangefinders, an IMU, and odometry. The file is stored at robot_envs/walrus_env.py

• walrus_upright: A robot environment for the Walrus robot, which spawns the robot in an upright position. This is used for the self-balancing task described below. The robot has the same sensor suite as in walrus_env, and the only difference is the spawn orientation as specified by the launch file. The file is stored at robot_envs/walrus_upright_env.py

Both Walrus environments depend on the walrus_description and walrus_gazebo packages (openai branch): https://github.com/UTNuclearRobotics/walrus_description/tree/openai

https://github.com/UTNuclearRobotics/walrus_gazebo/tree/openai

• WalrusBalance-v0 - An inverted pendulum/self-balancing robot task.

  • Defined in task_envs/walrus/walrus_balance.py
  • Parameters in task_envs/walrus/config/walrus_balance.yaml
  • Observations
    • 16 Scans: 8 each from the LIDAR scan messages on /scan and /scan_1 topics.
    • 2 IMU measurements. Pitch attitude (imu/data/orientation/y) and pitch rate (imu/data/angular_velocity/y)
    • 1 Odometry measurement: Horizontal position (/odom/pose/pose/position/x)
  • Actions
    • Commanded linear velocity (/cmd_vel/linear/x), with speed range defined by [linear_speed_(min/max)] values in the .yaml file
  • Rewards
    • [stay_up_reward] value is awarded each timestep.
    • [position_penalty] is subtracted for every meter of nonzero position in x. For example, a penalty of 10 results in -10 reward if the x-position is 1m.
    • [ang_velocity_reward] is designed to keep the rotation slow, and avoid jerky or sudden movements. It is awarded when the pitch velocity is less than [ang_velocity_threshold].
  • Completion conditions
    • "Crash" when robot acceleration exceeds [max_linear_acceleration] parameter.
    • "Rollover" when pitch attitude (imu/data/orientation/y) is out of bounds of [min_pitch_orient, max_pitch_orient] OR
    • Pitch rate (imu/data/angular_velocity/y) is out of bounds of [min_pitch_rate, max_pitch_rate]

• WalrusStairs-v0 - A task environment designed to teach the robot to climb and descend stairs without rolling over. The stairs and motion are entirely along the x-axis.

  • NOTE: This one needs tuning. Inertial parameters of the Walrus, and friction of the ground_plane and stairs need adjusting so that the robot can gain traction.
  • Defined in task_envs/walrus/walrus_stairs.py
  • Parameters in task_envs/walrus/config/walrus_stairs.yaml
  • Observations
    • 16 Scans: 8 each from the LIDAR scan messages on /scan and /scan_1 topics.
    • 2 IMU measurements. Pitch attitude (imu/data/orientation/y) and pitch rate (imu/data/angular_velocity/y)
    • 1 Odometry measurement: Horizontal position (/odom/pose/pose/position/x)
  • Actions
    • Commanded linear velocity (/cmd_vel/linear/x), with speed range defined by [linear_speed_(min/max)] values in the .yaml file
  • Rewards
    • [stay_alive_reward] value is awarded each timestep.
    • [ang_velocity_reward] is designed to keep the rotation slow, and avoid jerky or sudden movements. It is awarded when the pitch velocity is less than [ang_velocity_threshold].
    • [forward_velocity_reward] is given as a multiple of forward linear speed. If this reward value is positive, forward motion gives a reward. Rearward motion does not give a penalty, but it isn't rewarded.
    • [position_reward] is awarded at each timestep as a multiple of forward progress in the x-direction. For example, a value of 10 gives a reward of 100 if the robot is 10m from the origin, and a reward of 10 if the robot is 1m away from the origin.
    • TO DO: Add a completion reward when the robot reaches [max_x_disp].
  • Completion Conditions
    • "Crash" when robot acceleration exceeds [max_linear_acceleration] parameter.
    • "Rollover" when pitch attitude (imu/data/orientation/y) is out of bounds of [min_pitch_orient, max_pitch_orient] OR
    • Pitch rate (imu/data/angular_velocity/y) is out of bounds of [min_pitch_rate, max_pitch_rate]
    • x-position exceeds [max_x_disp] parameter (i.e., it's completed the entire course of stairs).

• WalrusNav-v0 - a simple 2D nav task.

  • NOTE: sometimes the barriers in the clearpath_playpen environment spawn in an incorrect orientation. Needs to be fixed.
  • Defined in task_envs/walrus/walrus.nav.py
  • Parameters in task_envs/walrus/config/walrus_nav.yaml
  • Observations
    • 16 Scans: 8 each from the LIDAR scan messages on (/scan) and (/scan_1) topics.
    • 1 yaw orientation measurement (imu/data/orientation/z)
    • 2 Odometry measurements to describe the 2D position: (/odom/pose/pose/position/x) and (/odom/pose/pose/position/y)
  • Actions
    • Commanded velocity (/cmd_vel/linear/x) and (/cmd_vel/angular/y), with speed range defined by [linear_speed_(max/min)] and [angular_speed_(max/min)] values in the .yaml file
  • Rewards
    • [stay_alive_reward] value is awarded each timestep.
    • [forward_velocity_reward] is given as a multiple of linear speed. If this reward value is positive, forward motion gives a reward, and rear motion gives a penalty.
    • [position_reward]/(distance to goal in m) is awarded at each timestep. For example, a value of 10 gives a reward of 1 if the robot is 10m from the goal, and a reward of 10 if the robot is 1m away from the goal.
    • [goal_reached_reward] is given if the robot position is within [success_radius] meters of [x_goal, y_goal].
  • Completion conditions
    • "Crash" when robot acceleration exceeds [max_linear_acceleration] parameter.
    • "Out of bounds" when robot exceeds [(min/max)_(x/y)_disp] parameters.
    • Robot position is within [success_radius] meters of [x_goal, y_goal].