TAILIEUCHUNG - vision guided intelligent robots for automating manufacturing materials handling and services

"Seeing" machines and "intelligent" robots have been the focus of research conducted by the Institute of Measurement Science since 1977. Our goal is to gain a basic understanding of vision, autonomy and intelligence of technical systems, and to construct seeing intelligent robots. These should be able to operate robustly and at an acceptable speed in the real world, to survive in a dynamically changing natural environment, and to perform autonomously a wide variety of tasks. In this paper we report. | WESIC 98 Workshop on European Scientific and Industrial Collaboration on Promoting Advanced Technologies in Manufacturing. Girona June 1998. Vision-guided Intelligent Robots for Automating Manufacturing Materials Handling and Services Rainer Bischoff and Volker Graefe Bundeswehr University Munich Institute of Measurement Science Werner-Heisenberg-Weg 39 85577 Neubiberg Germany Tel. 49-89-6004-3589 Fax 49-89-6004-3074 E-Mail Graefe @ Abstract Seeing machines and intelligent robots have been the focus of research conducted by the Institute of Measurement Science since 1977. Our goal is to gain a basic understanding of vision autonomy and intelligence of technical systems and to construct seeing intelligent robots. These should be able to operate robustly and at an acceptable speed in the real world to survive in a dynamically changing natural environment and to perform autonomously a wide variety of tasks. In this paper we report on three autonomous robots that have been developed during recent research projects for automating manufacturing materials handling and services. In the order of commissioning we have set up an autonomous vehicle a stationary manipulator and a humanoid robot with omnidirectional motion capability a sensor head and two arms. We use standard video cameras on all robots as the main sensing modality. We focused our research on navigation in known and unknown environments machine learning and manipulator control without any knowledge of quantitative models. 1 Introduction As a result of the increasing demands of automating manufacturing processes and services with greater flexibility intelligent robots with the ability to adapt to knew environments and various circumstances are key factors for success. To develop such robots manifold competencies are required in disciplines such as mechanical engineering electrical engineering computer science and mathematics. Our expertise is to build modular robotic systems with

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