From left: Leif Haukom (Chairman SFI Offshore Mechatronics), Anne Grete Ellingsen (CEO of GCE NODE) and Geir Hovland (Centre Leader SFI Offshore Mechatronics)
CEO of GCE NODE, Anne Grete Ellingsen, and her colleagues organised the excellent Energy Outlook in Arendal for the 5th time, see https://gcenode.no/event/energy-outlook-2018
The speakers at the event were:
Terje Søviknes, Norwegian Minister Of Petroleum And Energy
Janne Oddaker And Roger Pedersen, The Federation Of Norwegian Industries/Konkraft
Richard Mallinson Cross-Energy Analyst, Energy Aspects
Astrid Onsum, Head Of Offshore Wind, Aker Solutions
Hildegunn Blindheim, Director, Climate And The Environment, The Norwegian Oil And Gas Association
Steinar Eikaas, Vice President, Business Development Onshore US, Equinor
Nada Ahmed Solution Architect, Kongsberg Digital
Atle Bergfjord, Head Of Public Segment, Capgemi
Odd-Geir Lademo, Research Manager, Materials And Nanotechnology, Sintef
Irene Rummelhoff, Executive Vice President, New Energy Solutions, Equinor
SFI Offshore Mechatronics was represented by the Chairman Leif Haukom, the Centre Leader Geir Hovland and several of the board members.
The conference “Godt Tenkt” will be held at Lundin, Lysaker (Norway) on October 18, see https://www.lundin-norway.no/2018/06/28/samler-olje-og-gassindustrien-til-innovasjonskonferanse/
SFI Offshore Mechatronics will be present at this conference with at least one presentation.
Mounting of the sensors at MHWirth.
Inside the driller’s cabin, from left to right: Joacim Dybedal, Atle Aalerud and Kai Erik Nilsen.
During the week August 13-17 the 3D sensors used in the work-package WP3 Robotics and Autonomy will be running 24/7 in the outdoor testing tower at MHWirth, Dvergsnes, Kristiansand. The goal of the tests is to test the multiple sensor packages in a more realistic environment compared to the lab at the University, as well as to generate a large dataset which could be used by the other partners in the project. Initially, the dataset will be used for sensor calibration and human motion detection.