Rolf Dornberger
Papers
10
Total Citations
63
H-Index
5
About
Rolf Dornberger is a leading researcher in swarm robotics and autonomous path planning, whose work bridges the gap between theoretical algorithms and real-world robotic applications. His primary research areas include robotic path planning, swarm intelligence, and human-robot interaction, with a particular focus on nature-inspired and emotion-influenced decision-making systems. Dornberger’s most impactful contribution is his 2022 paper on robotic path planning using Q-learning, which has garnered 20 citations and provides a critical performance comparison with classical pathfinding algorithms, advancing the field of machine learning for autonomous navigation. He has also made significant strides in swarm robotics, notably through his 2018 studies comparing Kilobot implementations with computer simulations for target-searching algorithms—each cited 8 times—which validate the feasibility of decentralized swarm behaviors in physical robots. His innovative work extends to affective robotics, including a 2021 study on bidirectional multimodal systems for human-robot engagement, and a 2017 paper introducing a novel backup path planning approach with ant colony optimization. Dornberger’s research, with over 60 total citations, consistently demonstrates a commitment to practical, scalable solutions, making him a key figure in advancing both the theoretical foundations and experimental validation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4A novel backup path planning approach with ACO7 citations · 2017
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- 6Emotion Influenced Robotic Path Planning4 citations · 2017
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