This paper studies the connectivity maintenance problem in linear and nonlinear cyclic pursuit, when different control gains are assigned to each agent. Feasibility/infeasibility c...
Fabio Morbidi, Antonio Giannitrapani, Domenico Pra...
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
Prior work suggests that the potential benefits of mixed initiative management of multiple robots are mitigated by situational factors, including workload and operator expertise....
In this paper, we present a mechanism to fly a swarm of UAVs with the aim of establishing a wireless backbone over a pre-specified area. The backbone is aimed at connecting interm...