T. Lokstad

ABB (Norway)

Papers

2

Total Citations

94

H-Index

2

About

T. Lokstad is a researcher whose work sits at the intersection of augmented reality (AR) and industrial robotics, with a particular focus on transforming how robots are programmed in manufacturing environments. Lokstad's most influential contributions address a longstanding challenge in industrial automation: the traditional robot programming process, which requires operators to manually teach a sequence of waypoints and process-related events, is notoriously time-consuming, error-prone, and typically demands multiple costly iterations before achieving acceptable program quality. By leveraging augmented reality interfaces, Lokstad pioneered approaches that make this programming workflow more intuitive, efficient, and accessible to operators on the factory floor. This research, published across 2003 and 2004, has collectively garnered nearly 100 citations, reflecting its meaningful influence on the robotics and human-computer interaction communities. The work arrived at a pivotal moment when AR technology was beginning to demonstrate real-world industrial applicability, and Lokstad's contributions helped establish a foundation for what has since grown into a broader movement toward AR-assisted robot programming and flexible manufacturing automation. Students and researchers exploring human-robot interaction or smart manufacturing will find Lokstad's foundational work an essential early reference in the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
94
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Augmented reality for programming industrial robots
54 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: ABB (Norway)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago