Michael Beetz
Scholar

Michael Beetz

Google Scholar ID: mINzfREAAAAJ
Intitute for Artificial Intelligence, Computer Science Department, University of Bremen
cognitive roboticsAI-based Roboticsplan-based controlsemantic perceptionknowledge processing for Robots
Citations & Impact
All-time
Citations
11,212
 
H-index
41
 
i10-index
146
 
Publications
20
 
Co-authors
191
list available
Resume (English only)
Academic Achievements
  • Published numerous journal articles and conference papers, such as 'MARLIN: A cloud integrated robotic solution to support intralogistics in retail' and 'Task-Critical Motion Patterns in Task Planning and Motion Control for Household Manipulation Tasks'. Received an honorary degree from Örebro University in 2019 for longstanding cooperation and exceptional, international research.
Research Experience
  • Professor at the Faculty for Mathematics & Informatics of the University Bremen and head of the Institute for Artificial Intelligence (IAI). IAI focuses on AI-based control methods for robotic agents, particularly human-scale everyday manipulation tasks. Coordinator of the German collaborative research centre EASE (Everyday Activity Science and Engineering) since 2017.
Education
  • Received a diploma degree in Computer Science from the University of Kaiserslautern; MSc, MPhil, and PhD degrees were awarded by Yale University in 1993, 1994, and 1996 respectively; Venia Legendi from the University of Bonn in 2000.
Background
  • Professor of Computer Science, with research interests in AI-based control methods for robotic agents, knowledge processing and representation for robots, integrated robot learning, and cognitive perception.
Miscellany
  • Aims to improve interoperability in robotics and lower the barriers for robot programming through openEASE, a web-based knowledge service providing robot and human activity data.