Matthias Plasch
Papers
15
Total Citations
204
H-Index
10
About
Matthias Plasch is a robotics researcher whose work sits at the intersection of human-robot collaboration (HRC), machine learning, and intelligent manufacturing systems. Over the past decade, he has made significant contributions to making industrial robots safer, more intuitive, and more adaptable in shared human workspaces — a challenge at the heart of modern smart manufacturing. His most influential work explores shared autonomy and reinforcement learning as mechanisms for reducing the programming burden on non-expert users, enabling robots to learn assembly tasks through natural interaction rather than explicit coding. His 2017 paper on shared autonomy in manufacturing (40 citations) and his 2018 framework for interactive reinforcement learning (35 citations) laid important conceptual groundwork in this space. Plasch has also tackled the critical safety dimension of HRC, developing online methods for estimating safe robotic speed limits in dynamic human-shared environments. More recently, his research has evolved toward semantic reasoning frameworks that allow robots to better interpret human intent and context during collaborative tasks. With over 180 cumulative citations and a consistent publication record from 2013 to 2021, Plasch represents a thoughtful and technically grounded voice in the field of cognitive, collaborative industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Towards Shared Autonomy for Robotic Tasks in Manufacturing40 citations · 2017
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- 6Semantic knowledge based reasoning framework for human robot collaboration12 citations · 2021
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- 8Models for Interoperable Human Robot Collaboration11 citations · 2018
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- 10A system integration approach for service-oriented robotics10 citations · 2013