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Manipulating in the micro- or even nano world still poses a great challenge to robotics. Conventional (stationary) systems suffer from drawbacks regarding integration into process supervision and multi-robot approaches, which become highly relevant to figh ...
Scaling down robots to miniature size introduces many new challenges including memory and program size limitations, low processor performance and low power autonomy. In this paper we describe the concept and implementation of learning of a safewandering ta ...
For the last thirty years, electronics, at first built with discrete components, and then as Integrated Circuits (IC), have brought diverse and lasting improvements to our quality of life. Examples might include digital calculators, automotive and airplane ...
When animals explore an environment, they store useful spatial information in their brains. In subsequent visits, they can recall this information and thus avoid dangerous places or find again a food location. This ability, which may be crucial for the ani ...
A micro manipulation platform consisting of two cubic centimeter sized micro robots each with four degrees of freedom has been developed. This paper discusses four different strategies of manipulation by adhesion for grasping, transferring and releasing a ...
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the learning technique for a simple task is compared across robot groups of various ...
A micro manipulation platform consisting of several cm3-sized 4 DOF micro robots has been developed by EPFL. This paper discusses four different strategies for grasping, transferring and releasing a micro object by manipulation by adhesion. The strategies ...