About
Robotic Solutions for remote maintenance
Intelligent robotic systems are becoming essential for space applications, industries, nuclear plants and for harsh environments in general, such as the European Organization for Nuclear Research (CERN) particles accelerator complex and experiments. Robotics technology has huge potential benefits for people and its ultimate scope depends on the way this technology is used. In order to increase safety and machine availability, robots can perform repetitive, unplanned and dangerous tasks, which humans either prefer to avoid or are unable to carry out due to hazards, size constraints, or the extreme environments in which they take place. Nowadays, mechatronic systems use mature technologies that allow their robust and safe use, even in collaboration with human workers. In this presentation, the current status of the robotic activities performed at CERN by the BE-CEM group is presented. Several robotics solutions have been applied in the past years at CERN, as well as custom made robotic devices. New ideas and solution could come in the close future to increase safety of CERN personnel decreasing radiation dose taken. Current and future research and development in robotics done at CERN are described, as well as the results from the commissioning of various novel robotic controls.
Short bio Mario Di Castro
Dr. Mario Di Castro received the M.Sc. degree in electronic engineering from the University of Naples "Federico II", Italy, and the PhD degree from the Polytechnic University of Madrid, Spain. From 2007 until 2011, he works at EMBL c/o DESY in charge of advanced mechatronics solutions for synchrotron beamlines controls. Since 2011, he works at the European Organization for Nuclear Research (CERN) where, since 2018, he leads the Mechatronics, Robotics and Operation section. The section is responsible for the design, installation, operation and maintenance of control systems based on different platforms (PLC,PXI,VME) for…
The talk
Credits and licence
- Institution
- CERN
- Department
- Academic Training Lecture Regular Programme,2021-2022
- Speaker
- Mario Di Castro
- Year
- 2022
- Level
- Graduate
- Language
- English
- Subjects
- Engineering
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed