Matjavz Ogrinc
Papers
1
Total Citations
2
H-Index
1
About
Matjaž Ogrinc is a robotics researcher whose work centers on human-robot interaction, sensor integration, and safe autonomous control. His most-cited paper, "Control and collision avoidance for two Kuka LWR robots operated with the Kinect sensor" (2011), demonstrates a pioneering approach to using low-cost depth sensors—specifically the Microsoft Kinect—for real-time collision avoidance in dual-arm robotic systems. This work, which has garnered 2 citations, laid early groundwork for making industrial robots more accessible and safer for collaborative tasks, a key challenge in modern manufacturing and service robotics. Ogrinc’s contributions highlight the synergy between affordable sensing technology and advanced control algorithms, enabling robots to operate in unstructured environments without expensive external tracking systems. His research is particularly relevant for students and engineers interested in practical, cost-effective solutions for robot safety and coordination. By integrating vision-based feedback with lightweight, torque-controlled robots like the Kuka LWR, Ogrinc has helped advance the field toward more intuitive and human-aware automation.
Research Focus
Key Achievements
Top Papers
- 1