Petter S. Eppeland
Papers
1
Total Citations
6
H-Index
1
About
Petter S. Eppeland is a researcher focused on advancing human-robot collaboration, particularly within industrial settings. His key research areas include real-time collision detection, sensor integration, and the application of open-source frameworks like the Robot Operating System (ROS) and the Point Cloud Library (PCL) to enhance safety in automated environments. His most notable contribution, the 2017 paper "Real-time human collision detection for industrial robot cells," introduces a system that triggers on human motion by combining depth fields from multiple 3D cameras. This work, which has garnered 6 citations, demonstrates a practical approach to enabling safer human-robot interaction without the need for expensive, proprietary hardware. By leveraging ROS for core programming and robot communication, Eppeland’s research provides a scalable, cost-effective solution for modern manufacturing cells. His achievements highlight a commitment to bridging the gap between cutting-edge robotics software and real-world industrial safety challenges, making his work a valuable resource for students and engineers exploring collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Real-time human collision detection for industrial robot cells6 citations · 2017