Trygve Thomessen

About

Trygve Thomessen is a prominent robotics researcher whose work spans industrial robot control, human-robot interaction, and intelligent manufacturing systems. Over more than two decades, he has made sustained contributions to some of the most pressing challenges in modern robotics, accumulating over 170 citations across his most recognized works. Thomessen's early research focused on force-feedback robot control systems for demanding industrial tasks, particularly the grinding and deburring of large hydraulic turbines — complex, real-world applications requiring precision and adaptability. His 2001 paper on Francis turbine grinding (23 citations) remains a landmark contribution in applied robot control. His work evolved significantly toward human-robot interaction (HRI), where he pioneered intuitive graphical user interfaces and interaction frameworks tailored for small and medium enterprises — organizations often lacking specialized robotics expertise. His HRI modeling work introduced concepts such as trust, situational awareness, and service-oriented robot operation, advancing the field's human-centered approach. More recently, Thomessen has tackled collaborative robotics safety and advanced manufacturing, including fuzzy-system-based weld bead modeling for multi-pass welding and ROS-Unity3D monitoring platforms. This breadth — from low-level force control to high-level cognitive interfaces — reflects a career dedicated to making industrial robotics more accessible, safer, and smarter for real-world deployment.

Research Focus

Key Achievements

Top Papers

1. 1
   ROS-Unity3D based system for monitoring of an industrial robotic process

   30 citations · 2017
2. 2
   Robot control system for grinding of large hydro power turbines

   23 citations · 2001
3. 3
   Evaluation of Flexible Graphical User Interface for Intuitive Human Robot Interactions

   23 citations · 2014
4. 4
   New trends in industrial robot controller user interfaces

   18 citations · 2012
5. 5
   Bead geometry modeling on uneven base metal surface by fuzzy systems for multi-pass welding

   17 citations · 2021
6. 6
   Robot control system for safe and rapid programming of grinding applications

   16 citations · 2000
7. 7
   Simplified Human-Robot Interaction: Modeling and Evaluation

   13 citations · 2013
8. 8
   Cognitive Human-Machine Interface Applied in Remote Support for Industrial Robot Systems

   11 citations · 2013
9. 9
   A Proactive Strategy for Safe Human-Robot Collaboration based on a Simplified Risk Analysis

   11 citations · 2015
10. 10
    Joint Level Collision Avoidance for Industrial Robots

    10 citations · 2012

Key Collaborators

Contact & Links