5 citations · 10 across the 11 of their papers we have counts for
5 papers · 1 filter
Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots
Shuang Chen, Yifeng He, Barry Lennox +2
Long-term monitoring and exploration of extreme environments, such as underwater storage facilities, is costly, labor-intensive, and hazardous. Automating this process with low-cos…
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na, Tomáš Rouček, Jiří Ulrich +4
The recent advancement of Deep Reinforcement Learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach f…
Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
Arash S. Amjadi, Mohsen Raoufi, Ali E. Turgut +3
Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find t…
Self-organized Collective Motion with a Simulated Real Robot Swarm
Mohsen Raoufi, Ali Emre Turgut, Farshad Arvin
Collective motion is one of the most fascinating phenomena observed in the nature. In the last decade, it aroused so much attention in physics, control and robotics fields. In part…
Omnipotent Virtual Giant for Remote Human-Swarm Interaction
Inmo Jang, Junyan Hu, Farshad Arvin +2
This paper proposes an intuitive human-swarm interaction framework inspired by our childhood memory in which we interacted with living ants by changing their positions and environm…