J1: Aksel Sveier, Adam Leon Kleppe, Lars Tingelstad and Olav Egeland, Object Detection in Point Clouds Using Conformal Geometric Algebra, Advances in Applied Clifford Algebras, Feb. 2017.
J2: Lothar Wöll, Georg Jacobs and Achim Feldermann, Sensitivity Analysis on the Reliability of an Offshore Winch Regarding Selected Gearbox Parameters, MIC, Vol 38, No. 2, 2017.
J3: Daniel Hagen, Witold Pawlus, Morten K. Ebbesen and Torben O. Andersen, Feasibility Study of Electromechanical Cylinder Drivetrain for Offshore Mechatronic Systems, MIC, Vol 38, No. 2, 2017.
J4: Sondre Sanden Tørdal and Geir Hovland, Relative Vessel Motion Tracking using Sensor Fusion, Aruco Markers, and MRU Sensors, MIC, Vol 38, No. 2, 2017.
J5: Lars Tingelstad and Olav Egeland, Automatic Multivector Differentiation and Optimization, Advances in Applied Clifford Algebras.
J6: Lars Tingelstad and Olav Egeland, Motor Estimation using Heterogeneous Sets of Objects in Conformal Geometric Algebra, Advances in Applied Clifford Algebras.
C1: Torstein Myhre and Olav Egeland, “Estimation of Crane Load Parameters During Tracking Using Expectation-Maximization”, American Control Conference, Seattle, May 24-26, 2017.
C2: Sondre Sanden Tørdal, Witold Pawel Pawlus and Geir Hovland, “Real-time 6-DOF Vessel-to-Vessel Motion Compensation Using Laser Tracker”, MTS/IEEE OCEANS Conference, 2017, Aberdeen.
C3: Sondre Sanden Tørdal and Geir Hovland, “Inverse Kinematic Control of an Industrial Robot used in Vessel-to-Vessel Motion Compensation”, Proc. 25th Mediterranean Conference on Control and Automation (MED), July 2017.
C4: Joacim Dybedal and Geir Hovland, “Optimal Placement of 3D Sensors Considering Range and Field of View”, Proc. IEEE/ASME Advanced Intelligent Mechatronics (AIM), Munich, Germany, July 2017.
C5: David A. Anisi, Svein Gjermund Tveide and Valentinos Kongezos, “State classification for autonomous gas sample taking using deep convolutional neural networks”, Proc. 25th Mediterranean Conference on Control and Automation (MED), July 2017.
C6: Olav Heng and Sondre Sanden Tørdal, “Calibration of the Norwegian Motion Laboratory using Conformal Geometric Algebra,” in Computer Graphics International, ENGAGE Workshop, 2017.
Today about 30 students from a local high school visit UiA and got insight and demonstration from PhD student Sondre Sanden Tørdal of the latest work in the SFI Offshore Mechatronics project. A lot of filming went on while he did a demonstration in UiAs Motion Lab. Recruiting to engineering and science is also a focus in the project, and a lot of future students got a taste of the possibilities today.
SFI WP3 Presentation given at the NFA Autonomy Conference, Kristiansand, March 15, 2017. The entire conference program is available at the following link: Autonomikonferansen-2017-5.
The Minister of Transport and Communications, Ketil Solvik-Olsen, opened the conference. See this link at www.nfaplassen.no.
PhD – 3 Positions in Offshore Mechatronics (IV-89/17, IV-90/17, IV-91/17)
Position 1: WP4.1 Integrated simulation of multi-physical systems in offshore operations (IV-89/17)
Position 2: WP4.2 Component-based simulation systems for drilling automation and crane systems (IV-90/17)
Position 3: WP4.4 Modeling and simulation of cable and pulley systems in offshore cranes (IV-91/17)
The application deadline was March 31, 2017.
For more detailed information, see:
Luis M. Lopez-Ramos received the B.Sc. degree in telecommunications engineering in 2010 from King Juan Carlos University (URJC), Madrid, Spain; and the M.Sc. and Ph.D. degrees in multimedia and communications in 2012 and 2016, respectively, from URJC and Carlos III University of Madrid, Madrid, Spain. During the Fall semesters of 2013 and 2014, he was a visiting scholar at the Dept. of Electrical Engineering, University of Minnesota, Minneapolis.
Since 2010 he has been carrying out research and teaching activities with the Dept. of Signal Theory and Communications at URJC. In February 2017, he joined the University of Agder, Grimstad, Norway as a post-doctoral research fellow.
Dr. Lopez-Ramos’ research currently focuses on stochastic nonlinear programming, stochastic approximation and signal processing techniques, and their applications in wireless networks and power networks. In the SFI Offshore Mechatronics project he will work in WP6.1 Distributed in-network intelligence across multiple components.