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OBJECTIVE To assess the feasibility and robustness of an asynchronous and non-invasive EEG-based Brain-Computer Interface (BCI) for continuous mental control of a wheelchair. METHODS In experiment 1 two subjects were asked to mentally drive both a real and a simulated wheelchair from a starting point to a goal along a pre-specified path. Here we only(More)
Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the nonstationary nature of the brain signals provides for a rather unstable input. With the use of intelligent processing algorithms adapted to the task at hand, however, the performance can be increased. This paper(More)
In this work we present a novel system for autonomous mobile robot navigation. With only an omnidi-rectional camera as sensor, this system is able to build automatically and robustly accurate topologically organised environment maps of a complex, natural environment. It can localise itself using such a map at each moment, including both at startup(More)
— Vision sensors are attractive for autonomous robots because they are a rich source of environment information. The main challenge in using images for mobile robots is managing this wealth of information. A relatively recent approach is the use of fast wide baseline local features, which we developed and used in the novel approach to sparse visual path(More)
  • B J W Waarsing, M Nuttin, H Van Brussel
  • 2003
We are currently researching the possibilities that the behaviour-based paradigm has to offer when it comes to mobile manipulation. In this context, a M.Sc. project was done, in which students have implemented a demo application on our mobile manipula-tor, namely the opening of a door. It does not matter whether the door swings to the right or to the left,(More)
  • B J W Waarsing, M Nuttin, H Van Brussel
  • 2003
This article proposes a software framework for multi-sensor, multi-actuator systems, such as our mobile robot LiAS (Leuven intelligent Autonomous System , see figure 1). The framework is based on an agent-based philosophy, which makes it extremely useful for programming behaviour-based controllers, but it is applicable for any type of control. The framework(More)
Reservoir Computing is a new paradigm to use artificial neural networks. Despite its promising performances, it has still some drawbacks: as the reservoir is created randomly, it needs to be large enough to be able to capture all the features of the data. We propose here a method to start with a large reservoir and then reduce its size by pruning out(More)