Mergeable nervous systems for robots (vol 8, 439, 2017)
Publications associées (37)
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A methodology for evolving the control systems of autonomous robots has not yet been well established. In this paper we will show different examples of applications of evolutionary robotics to real robots by describing three different approaches to develop ...
In the high-precision industry, most operations require the use of robots able to accomplish highly accurate and repeatable motions. In order to meet the desired level of absolute accuracy, one has to limit or even suppress the effects of different sources ...
We will explore dynamic perception following the visually guided grasping of several objects by a human-like autonomous robot. This competency serves for object categorization. Physical interaction with the hand-held object gives the neural network of the ...
In this article we described the attempt to build a robot able to locate and follow an human target moving in a domestic environment. After a brief review of the state of the art in relative location technologies, we described our approach that aims to dev ...
Improvement over classical dynamic feedback linearization for a unicycle mobile robots is proposed. Compared to classical extension, the technique uses a higher-dimensional state extension, which allows rejecting a constant disturbance on the robot rotatio ...
An important goal of collective robotics is the design of control systems that allow groups of robots to accomplish common tasks by coordinating without centralized control. In this paper, we study how a group of physically assembled robots can display coh ...
This paper presents an innovative off-road wheeled mobile robot, named Octopus, able to deal autonomously with obstacles in rough terrain without getting stuck. To achieve such a performance, the robot is equipped with tilt sensors and tactile wheels. The ...