Rasmus Liborius Bruun
Papers
5
Total Citations
25
H-Index
3
About
Rasmus Liborius Bruun is a researcher whose work is shaping the future of autonomous industrial systems. His research centers on the critical challenge of enabling reliable, high-throughput, and low-latency communication within robotic swarms, particularly for Industry 4.0 applications like indoor factories. Bruun’s major contributions lie in developing decentralized cooperative resource allocation schemes that allow autonomous mobile robots to manage their own radio resources without relying on any fixed network infrastructure. He has pioneered the use of distributed deep reinforcement learning (DRL) to optimize these decision-making policies, ensuring robust communication even in high-density environments. His work addresses fundamental technical hurdles, such as mitigating interference and the half-duplex problem, while striving for "four nines" (99.99%) reliability in data exchanges. With his most-cited paper, "Cooperative Resource Allocation for Proximity Communication in Robotic Swarms in an Indoor Factory," garnering 9 citations, Bruun is establishing a foundational framework for the next generation of flexible, infrastructure-free factory automation, where swarms of robots can collaborate seamlessly through collective perception.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5