Background and activities

Lars Tingelstad works as an Associate Professor of Robotic Production in the Department of Mechanical and Industrial Engineering at NTNU, Norwegian University of Science and Technology, Trondheim, Norway, as part of the Robotics and Automation group led by Professor Olav Egeland.

Tingelstad's current research focuses on robotics and automation in the Norwegian and European manufacturing industry, including robotic welding and assembly in general and geometric and constraint-based methods in particular.

Tingelstad received the M.Sc. and Ph.D. degrees in mechanical engineering from NTNU in 2011 and 2017, respectively. His Ph.D. thesis was on the estimation of rigid-body motions from the observation of 3-D geometric objects such as points, lines, planes, circles, and spheres, in conformal geometric algebra (Clifford algebra).

Tingelstad has set up several robot labs and installations and has contributed to open-source projects, including ROS-Industrial.

Tingelstad currently teaches the course TPK4170 - Robotics.

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

2020

  • Mohammed, Shafi Khurieshi; Arbo, Mathias Hauan; Tingelstad, Lars. (2020) Leveraging Model Based Definition and STEP AP242 in Task Specification for Robotic Assembly. Procedia CIRP.

2019

2018

2017

2014

2013

  • Tingelstad, Lars. (2013) Lasermålinger i automatisk produksjon. Maskineringsforum . Norsk Industri; Kristiansand. 2013-04-17 - 2013-04-18.
  • Tingelstad, Lars; Egeland, Olav; Lien, Terje Kristoffer. (2013) Robotar får syn og samarbeidsevner. gemini.no [Internett]. 2013-05-27.

2012

2011

  • Tingelstad, Lars; Capellan, Alvaro. (2011) Development of a System for Automatic Assembly and Tack Welding of Aerospace Components. Annual European Conference for Scientists using Python . EuroSciPy; Paris. 2011-08-25 - 2011-08-28.

2010

  • Tingelstad, Lars; Wang, Kesheng; Yu, Quan. (2010) Modeling of a High Voltage Power Cable Manufacturing Process Using Artificial Neural Networks. International Workshop of Advanced Manufacturing and Automation : (IWAMA2010) : 25-27th September, 2010, Shanghai University, Shanghai, China.