Papers
17
Total Citations
752
H-Index
10
About
Bernhard Rinner is a leading figure in multi-robot systems, specializing in autonomous UAVs, cooperative robotics, and human-robot collaboration. His most influential work, "An Autonomous Multi-UAV System for Search and Rescue" (309 citations), introduces a modular, ROS-based architecture for coordinating multiple multicopters in disaster response, demonstrating real-world impact through distributed control. He has also made seminal contributions to moving target observation with cooperative robots (200 citations), addressing challenges in multi-robot efficiency and robustness. Rinner’s research extends to persistent surveillance under connectivity constraints (49 citations), where he tackles the critical issue of maintaining communication while ensuring periodic sensing. In human-robot collaboration, he has developed interactive reinforcement learning frameworks for assembly processes (35 citations), aiming to reduce expert programming through natural communication. His work on multisensorial self-awareness models (33 citations) pushes autonomous systems toward descriptive and generative self-awareness, enabling incremental knowledge expansion. Rinner’s innovations in distributed coalition formation (31 citations) and hardware acceleration via ReconROS (18 citations) further underscore his versatility. With over 700 citations across his top papers, Rinner’s contributions are foundational to advancing autonomous, cooperative, and human-aware robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1An Autonomous Multi-UAV System for Search and Rescue309 citations · 2015
- 2Cooperative Robots to Observe Moving Targets: Review200 citations · 2016
- 3Multi-Robot Persistent Surveillance With Connectivity Constraints49 citations · 2020
- 4
- 5
- 6
- 7Human Robot Collaboration to Reach a Common Goal in an Assembly Process18 citations · 2016
- 8ReconROS: Flexible Hardware Acceleration for ROS2 Applications18 citations · 2020
- 9
- 10