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Hand guiding a virtual robot using a force sensor

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
177--186
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wykr.
Twórcy
  • 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
  • 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
  • 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
  • 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
Bibliografia
  • 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. Experimental Packages for KUKA manipulators with ROS-Industrial (2020), https://github.com/ros-industrial/kuka_experimental
  • 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. 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. Joint Trajectory Action Contoller, Official webpage ROS Documenta-tion (year), http://wiki.ros.org/robot_mechanism_controllers/JointTraje ctoryActionController
  • 6. Lee S.-D., Ahn K.-H., Song J.-B. (2016), Torque control based sensorless hand guiding for direct robot teaching, IEEE/RSJ Interna-tional Conference on Intelligent Robots and Systems (IROS), 745-750.
  • 7. Loske J., Biesenbach R. (2014), Force-torque sensor integration in industrial robot control, 15th International Workshop on Research and Education in Mechatronics (REM, 1-5.
  • 8. Massa D., Callegari M., Cristalli C. (2015), Manual guidance for industrial robot programming, Industrial Robot: An International Jour-nal, 42(5), 457-465.
  • 9. Matheson E., Minto R., Zampieri, E.G., Faccio M., Rosati G. (2019), Human–Robot Collaboration in Manufacturing Applications: A Review, Robotics, 8(4), 100.
  • 10. Noh Y., Bimbo J., Sareh S., Wurdemann H. (2016), Multi-axis force/torque sensor based on simply-supported beam and optoelec-tronics, Sensors, 16(11), 1936.
  • 11. Peng Y.C., Chen S., Jivani D., Wason J., Lawler W., Saunders G., Wen, J. (2021), Sensor-Guided Assembly of Segmented Structures with Industrial Robots, Applied Sciences, 11(6), 2669.
  • 12. Reyes-Uquillas D., Hsiao, T. (2021), Safe and intuitive manual guidance of a robot manipulator using adaptive admittance control towards robot agility, Robotics and Computer-Integrated Manufactur-ing, 70, 102127.
  • 13. Safeea M., Béarée R., Neto P. (2017), End-effector precise hand-guiding for collaborative robots, Iberian Robotics conference. Spring-er, Cham, 595-605.
  • 14. Safeea M., Bearee R., Neto, P. (2017), End-effector precise hand-guiding for collaborative robots, Iberian Robotics conference, 595-605, Springer, Cham.
  • 15. Safeea M., Neto P., Béarée R. (2019), Precise hand-guiding of redundant manipulators with null space control for in-contact obstacle navigation, IECON 2019-45th Annual Conference of the IEEE Indus-trial Electronics Society, 693-698.
  • 16. Spong M.,Hutchinson S.,Vidyasagar M. (2005), Robot modeling and Control, 1st Edition. Wiley.
  • 17. Zhang S., Wang S., Jing F., Tan M. (2019), A sensorless hand guiding scheme based on model identification and control for indus-trial robot, IEEE Transactions on Industrial Informatics, 15(9), 5204-5213.
  • 18. Zhao Y., Gao F., Zhao Y., Chen, Z. (2020), Peg-in-Hole Assembly Based on Six-Legged Robots with Visual Detecting and Force Sens-ing, Sensors, 20(10), 2861.
  • 19. https://github.com/shadow-robot/optoforce, (2020)
  • 20. https://ifr.org/free-downloads/, (2020)
  • 21. https://onrobot.com/en/products/hex-6-axis-force-torque-sensor, (2021)
  • https://www.code-n.org/blog/finalist-optoforce-hungary-sensors-for-the-internet-of-things/, (2015)
  • 22. https://www.crunchbase.com/organization/optoforce, (2020)
  • 23. https://www.eu-robotics.net/cms/upload/topic_groups/SRA2020_ SPARC.pdf, (2020)
Uwagi
Błędna numeracja bibliografii.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3d533ede-2cb2-40fc-8b5e-d7012e37f173
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