Tor Arne Johansen

Norwegian University of Science and Technology

Papers

2

Total Citations

9

H-Index

2

About

Tor Arne Johansen is a leading researcher in autonomous systems and marine robotics, with a focus on risk-based autonomy and cooperative multi-robot control. His work bridges theoretical advances in Bayesian decision-making with practical applications in environmental monitoring and safety-critical operations. In his 2023 paper "A Bayesian Approach to Risk-Based Autonomy, with Applications to Contact-Based Drone Inspections," Johansen introduces a framework that enables robotic systems to autonomously detect internal faults and adapt to environmental changes, enhancing safety in high-stakes tasks like infrastructure inspection. His 2019 study "Cooperative decentralized circumnavigation with application to algal bloom tracking" presents a reliable method for deploying autonomous surface robots to monitor harmful algal blooms, using satellite imagery for initial localization. This work directly addresses water quality challenges, demonstrating real-world impact. With over 5 citations for his recent risk-based autonomy paper and 4 for his algal bloom tracking study, Johansen’s research is gaining traction in the robotics and environmental monitoring communities. His contributions are pivotal for advancing autonomous systems that operate safely and effectively in dynamic, uncertain environments, making him a key figure in the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Bayesian Approach to Risk-Based Autonomy, with Applications to Contact-Based Drone Inspections
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Norwegian University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago