Currently, an inportant topic in robotic reasearch systems is the design and development of learning Multi-Agent Systems ( MAS ). One major advantage of these systems is the fact that several agent work towards a comm...
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Currently, an inportant topic in robotic reasearch systems is the design and development of learning Multi-Agent Systems ( MAS ). One major advantage of these systems is the fact that several agent work towards a common goal, having different specializations for specific subtasks. Especially learning MAS in cooperation with a human teacher seem to be a very promising approach for complex manipulation and production tasks. Since agents can join and leave the system at any time, it is important that knowledge acquired by single agents can be transferred or propagated between agents, to ensure that knowledge is not lost, if agents leave the system. Therefore, techniques will be presented to represent extentable action knowledge for task solutions in an agent's knowledge base and additionally, algorithms for propagating this knowledge between agents efficiently and with minimum communication effort.
Micromanipulation by microrobots has become an issue of primary importance in industry and biomedicine, since human manual capabilities are restricted to certain tolerances. The manipulation of biological cells or the...
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Micromanipulation by microrobots has become an issue of primary importance in industry and biomedicine, since human manual capabilities are restricted to certain tolerances. The manipulation of biological cells or the assembly of a microsystem composed of several microcomponents are good examples. An automated microrobot-based micromanipulation desktop station has been developed at the University of Karlsruhe. The process of assembly takes place in the field of view of a light optical microscope. This paper focuses on motion control problems of the piezo-driven microrobots employed by the station. The ability to adapt itself to the process requirements is of great importance for micromanipulation robots. They must be able to operate in a partially defined environment and to ensure reasonable behaviour in unpredicted situations. A neural control concept based on a reference model is proposed as a solution. It is shown, that the neural controller is able to learn the desired behaviour. It considerably outperforms an analytically designed linear controller in the real environment.
In the last few years different multifingered grippers have been developed and a lot of research work has been done in the field of grasping and manipulating objects with such grippers. With the help of fingers it is ...
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In the last few years different multifingered grippers have been developed and a lot of research work has been done in the field of grasping and manipulating objects with such grippers. With the help of fingers it is possible to grasp different objects with different shapes without having to change the gripper. To use a multifingered gripper in industrial applications it has to be mounted on another robot to enhance the working space. In the paper the requirements of a multifingered gripper on a robot arm in a manipulation station are discussed, with particular attention given to one part of the sensor system: the object state sensor. This sensor provides the control system with information about the object to be grasped.
An intelligent robot control scheme is presented which enables a cooperative work of humans and robots through direct contact interaction in a partially known environment. The control of the degrees of freedom of the ...
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An intelligent robot control scheme is presented which enables a cooperative work of humans and robots through direct contact interaction in a partially known environment. The control of the degrees of freedom of the manipulator is shared through a hybrid controller between the operator and the intelligent control system. The allocation of the control among human and robot occurs dynamically according to the state of the task execution and the capabilities of the human and the robot. Experiments were conducted to prove the effectiveness of our concept.
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