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Simulation source code and examples for applying machine learning on Sawyer Robot

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sawyer-robot-learning

This repository contains the simulation source codes and examples for applying machine learning algorithms on Sawyer Robot in Gazebo simulation environment.

Dependencies & Packages:

Setting up the package:

Clone the repository into the sawyer file(with the previously installed sawyer simulator and sdk's) and then cd to catkin_ws directory

$ cd catkin_ws
$ catkin_make

How to access the files in the package:

Terminal 1: To launch the Sawyer robot in Gazebo environment

$ roslaunch sawyer_gazebo_env sawyer_gazebo_env.launch

Terminal 2: To launch the task specific environment (eg, reaching task)

$ roslaunch sawyer_demonstration sawyer_demonstration.launch \task:=reaching controller:=falcon

Note: For different task environment(say, peg in hole) set task:= peginhole and a different controller set controller:=joystick