This paper describes a hierarchical robot action planning system for automatic assembly. Input to the system is a geometrical model of the parts to be assembled. The system provides a graphical editor to model the geo...
详细信息
Machine learning has been studied for more than 20 years. Most of the recent research contributions are basic and come from the areas of Cognitive Science and Artificial Intelligence. The classical domain of machine l...
Machine learning has been studied for more than 20 years. Most of the recent research contributions are basic and come from the areas of Cognitive Science and Artificial Intelligence. The classical domain of machine learning is related to vision and image analysis and image description. Since about five years there has been encreased activity to apply and to extend these general learning methods to really complex systems such as autonomous robots. The purpose of applied machine learning methods is to facilitate and to aid automatic construction and generation of knowledge based systems and to increase the system performance with time. Autonomous robot systems will operate in an unknown real environment and are based on the interaction of the basic system components such as action planner, plan executive and action monitor which need knowledge about the real world and knowledge about how to behave to reach a given goal. A robot system can learn if it is able to make changes and extensions in its behavioural control structure that enables it to better perform a given task. This includes acquisition of declarative procedural knowledge, the developement of manipulative and cognitive skills through instruction and practice as well as the organisation of knowledge into efficient representations. The purpose of automatic self-configurating or self-modifying representations is to make experience based knowledge available for possible future use in the context of increasing robot system performance. This paper reviews some general methods of machine learning application and some first results achieved to date.
The Karlsruhe Hand is a non-anthropomorphic three finger dextrous gripper with 9 degrees of freedom, which is being developed at the institute for real-Time computercontrol Systems and robotics of the University of K...
详细信息
The Karlsruhe Hand is a non-anthropomorphic three finger dextrous gripper with 9 degrees of freedom, which is being developed at the institute for real-Time computercontrol Systems and robotics of the University of Karlsruhe.
This paper describes a method to simulate vision for use in robot applications. Our approach shows the physical modeling of the camera, the light sources and the objects within the scene based on a geometric model. Ma...
详细信息
This paper describes a method to simulate vision for use in robot applications. Our approach shows the physical modeling of the camera, the light sources and the objects within the scene based on a geometric model. Many parameters of the physical model may be adjusted to obtain simulation results close to reality. For processing of the picture data the SPIDER program is added to the simulation of the camera. Though a complete vision system is created. An example shows the simulation of a CCD-camera and a scene with workpieces taken from the ‘European Benchmark’ [COL85].
作者：
M. HagemannFaculty for Informatics
Institute of Real-Time Computer Control Systems and Robotics University of Karlsruhe Karlsruhe Germany
A formal language for specifying and analyzing requirements is introduced. An integrated set of tools support the transition from ideas to a requirements specification. The system is implemented on an IBM PC. The spec...
详细信息
ISBN:
(纸本)0897912586
A formal language for specifying and analyzing requirements is introduced. An integrated set of tools support the transition from ideas to a requirements specification. The system is implemented on an IBM PC. The special characteristics of the language and the tools are their suitability for the description of embedded real-time systems. The most useful feature of the system is the possibility of graphical input and output as an alternative of the mere textual specification. Transformation between textual and graphical representation is done by the PROREC system.< >
暂无评论