Affiliation:
1. Faculty of Electrical Engineering and Information Technology, Institute of Robotics and Cybernetics , Slovak University of Technology (STU) in Bratislava , Ilkovičova 3, SK-812 19 , Bratislava , Slovakia
Abstract
Abstract
The research behind this paper arose out of a need to use an open-source system that enables hand guiding of the robot effector using a force sensor. The paper deals with some existing solutions, including the solution based on the open-source framework Robot Operating System (ROS), in which the built-in motion planner MoveIt is used. The proposed concept of a hand-guiding system utilizes the output of the force–torque sensor mounted at the robot effector to obtain the desired motion, which is thereafter used for planning consequential motion trajectories. Some advantages and disadvantages of the built-in planner are discussed, and then the custom motion planning solution is proposed to overcome the identified drawbacks. Our planning algorithm uses polynomial interpolation and is suitable for continuous replanning of the consequential motion trajectories, which is necessary because the output from the sensor changes due to the hand action during robot motion. The resulting system is verified using a virtual robot in the ROS environment, which acts on the real Optoforce force–torque sensor HEX-70-CE-2000N. Furthermore, the workspace and the motion of the robot are restricted to a greater extent to achieve more realistic simulation.
Subject
Mechanical Engineering,Control and Systems Engineering
Reference23 articles.
1. 1. Jamone L., Fumagalli M., Natale L, Nori F. (2014), Control of physical interaction through tactile and force sensing during visually guided reaching, 2014 IEEE International Symposium on Intelligent Control (ISIC), 1360-1365.
2. 2. Experimental Packages for KUKA manipulators with ROS-Industrial (2020), https://github.com/ros-industrial/kuka_experimental
3. 3. González C., Solanes J.E., Muñoz A., Gracia L., Girbés-Juan V., Tornero J. (2021), Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback, Journal of Manufacturing Systems, 59, 283-298.
4. 4. Jo J., other authors (2013), Grasping force control of a robotic hand based on a torque-velocity transformation using F/T sensors with gravity compensation, IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society, 4150-4155.
5. 5. Joint Trajectory Action Contoller, Official webpage ROS Documentation (year), http://wiki.ros.org/robot_mechanism_controllers/JointTrajectoryActionController
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