Most physically implemented multi-robot controllers are based on extensions of behavior-based systems. While efficient, such techniques suffer from weak representational power. Sy...
- Autonomous navigation in 2D and 3D environments has been studied for a long time. Navigating within a 3D environment is very challenging for both animals and robots and a variety...
The Artificial Life approach to Evolutionary Robotics is used as a fundamental framework for the development of a modular neural control of autonomous mobile robots. The applied e...
— 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,...
Dynamical systems theory is used here as a theoretical language and tool to design a distributed control archictecture that generates navigation in formation, integrated with obst...