Andreas Schierl
Papers
26
Total Citations
249
H-Index
9
About
Andreas Schierl is a robotics researcher whose work sits at the intersection of robot programming frameworks, human-robot interaction, and multi-robot coordination. He is perhaps best known for his foundational contributions to the Robotics API, an object-oriented software framework that reimagines how industrial robots are programmed. By applying modern software engineering principles to robotics, his research addresses the critical limitations of manufacturer-specific robot languages, enabling more flexible, reusable, and real-time-capable robotic applications — work that has attracted over 50 citations across multiple publications spanning 2010 to 2014. Schierl has also made significant strides in safe human-robot interaction, with his 2016 paper on environment-aware capacitive proximity sensing becoming his most-cited work (41 citations), offering a practical solution for detecting humans in robot workspaces. His later research expanded into intelligent automation, including AI-driven multi-robot assembly planning demonstrated through the creative LegoBot system, and decentralized coordination of heterogeneous robot ensembles using multi-agent systems. Across his career, Schierl has consistently pursued a vision of smarter, safer, and more autonomously coordinated robotic systems — making his work highly relevant to students and researchers working in industrial automation and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotics API: Object-Oriented Software Development for Industrial Robots33 citations · 2013
- 3
- 4Flexible and continuous execution of real-time critical robotic tasks19 citations · 2014
- 5
- 6Interfacing industrial robots using Realtime Primitives15 citations · 2010
- 7Developing Self-Organizing Robotic Cells Using Organic Computing Principles13 citations · 2011
- 8Decentralized Coordination of Heterogeneous Ensembles Using Jadex10 citations · 2016
- 9
- 10