In this post we implement a ROS node that automatically initializes the robot state in Gazebo to a valid configuration . This is achieved by means of a custom joint position controller and the controller switching mechanism provided by the controller manager.
In this post we will alter the integration by replacing the effort controllers with joint position based controllers and thereby improve the stability of the robot during trajectory execution. We will also fix issues when starting the robot in Gazebo where it gets initialized with invalid joint angles by implementing a custom controller that commands the joints to fixed state.
In this post I am going to share my workflow for using Visual Studio Code as a development environment for ROS within a Docker container.
In this post we are going to attach a simple box to the hand of Panda robot in the Gazebo simulation environment.
In this post I am going to share my workflow and best practices for using Visual Studio Code as a development environment for ROS.
In this post we are going to utilize MoveIt! in order to navigate Panda in a cluttered environment in the Gazebo simulation.
In this post I will outline a step-by-step procedure to simulate the Panda robot in Gazebo and connect it to MoveIt! for motion planning.