Papers
6
Total Citations
67
H-Index
3
About
Michael Kasper is a pioneering researcher in behavior-based robotics and human-robot interaction, with a particular focus on Learning from Demonstration (LfD) and accessible robot programming. His most influential work, "A behavior-based mobile robot architecture for Learning from Demonstration" (2001, 42 citations), established a foundational framework for teaching robots complex tasks through human demonstration rather than explicit coding. Kasper extended this work by developing modularized behavior-based architectures that enable robots to learn more than just reactive behaviors, as detailed in his 2003 study (13 citations). He later advanced end-user robot programming by proposing an innovative paradigm that abstracts perception and manipulation into first-class objects within simple scripting languages, building on the Sikuli GUI automation platform (2014, 5 citations). This approach drastically simplifies robotic programming for non-experts. Kasper also contributed to medical robotics, evaluating the clinical efficacy of 6D robotic couch-top systems for CBCT image-guided lung SBRT (2011, 3 citations), demonstrating his versatility. His early German-language work on area-covering exploration and navigation in unknown environments using low-cost robots (1999-2000) laid groundwork for autonomous mobile robotics. Kasper's research uniquely bridges theoretical behavior-based control with practical, accessible robot teaching methods.
Research Focus
Key Achievements
Top Papers
- 1A behavior-based mobile robot architecture for Learning from Demonstration42 citations · 2001
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