In this paper, a recurrent neural network is used to develop a dynamic controller for mobile robots. The advantage of the control approach is that no knowledge about the robot mode...
Mohamed Oubbati, Michael Schanz, Thorsten Buchheim...
Abstract. This article presents experiments that integrate competitive coevolution of neural robot controllers with ‘co-evolution’ of robot morphologies and control systems. Mo...
Abstract— For mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environment – novelty detection – is very useful. One pa...
Paul A. Crook, Stephen Marsland, Gillian Hayes, Ul...
In this paper a complete strategy for scene modelling from sensory data acquired in a natural environment is defined. This strategy is applied to outdoor mobile robotics and goes f...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy, Be...
This paper summarizes ongoing work with a mobile manipulator (Mobipulator). We describe the system architecture of the latest version of the robot, a hierarchy of robot motion com...
Siddhartha S. Srinivasa, Christopher R. Baker, Eli...