Papers
71
Total Citations
1,058
H-Index
18
About
Alexander Ferrein is a prominent robotics and artificial intelligence researcher whose work spans autonomous systems, robot software architectures, and logic-based robot control. His research has made significant contributions to the integration of formal reasoning methods with real-world robotic applications, most notably through his work on Golog-based deliberation frameworks, which enable robots to make intelligent decisions in dynamic, unpredictable environments — a line of inquiry that has garnered over 150 citations across multiple publications. Ferrein has been instrumental in developing foundational robot software infrastructure, including the component-based Fawkes framework (51 citations) and a Lua-based behavior engine for humanoid robots (46 citations), tools that have influenced how researchers architect complex robotic systems. His 2020 work on a ROS2-based self-driving car architecture (80 citations) demonstrates his continued relevance at the forefront of autonomous vehicle research. He has also explored domestic service robotics, augmented reality teleoperation, and competitive factory automation testbeds such as the RoboCup Logistics League. With a research portfolio spanning over two decades and consistently well-cited contributions, Ferrein represents a bridge between theoretical AI reasoning and practical, deployable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Self-Driving Car Architecture in ROS280 citations · 2020
- 2Logic-based robot control in highly dynamic domains71 citations · 2008
- 3Design Principles of the Component-Based Robot Software Framework Fawkes51 citations · 2010
- 4A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao46 citations · 2010
- 5On-Line Decision-Theoretic Golog for Unpredictable Domains41 citations · 2004
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- 7Using Golog for Deliberation and Team Coordination in Robotic Soccer.40 citations · 2005
- 8Caesar: an intelligent domestic service robot39 citations · 2012
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