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Autonomous Mobile Robots - Design and Navigation

Autonomous Mobile Robots are still a grand challenge in research. Typically such a system acquires information about its environment, combines it with a priory knowledge to model the environment, takes decision, and plans and executes actions. The major challenges in this control process are perception, data fusion and environment modeling. In this seminar I will introduce mobile robots and present the activities of our Lab. Current results in Kalman filter based localization will be discussed and new concepts for space robots and mobile robots sizing only a few millimeters will be shown. Future trends will be reviewed.
Type of Seminar:
Public Seminar
Prof. Roland Siegwart
Autonomous Systems Lab, Swiss Federal Institute of Technology, EPFL, DMT-ISR CH-1015 Lausanne
Jan 12, 2000   17:15

ETH Zurich, Gloriastr.35, 8006 Zurich, ETZ E6
Contact Person:

M. D'Emma
No downloadable files available.
Biographical Sketch:
Roland Y. Siegwart received his master degree in Mechanical Engineering in 1983 and his Doctoral degree in 1989 at the Swiss Federal Institute of Technology (ETH) Zurich. After his Ph.D. studies he spent one year as a postdoc at Stanford University where he was involved in micro-robots and tactile gripping. From 1991 to 1996 he worked part time as R&D director at MECOS Traxler AG and as a lecturer and deputy head at the Institute of Robotics, ETH. Since 1996 he is Professor for Autonomous Systems at the Swiss Federal Institute of Technology, Lausanne (EPFL). His main research areas are robotics and mechatronics, namely high precision navigation, network base robotics (Internet, space exploration), micro-robotics, high-speed manipulators and new bearing technologies. He lectures various courses in robotics, mechatronics and smart product design at the two Swiss Federal Institutes of Technology and is cofounder of several spin-off companies.