Maria Vanessa aus der Wieschen
Papers
7
Total Citations
184
H-Index
4
About
Maria Vanessa aus der Wieschen is a leading researcher in Human-Robot Interaction (HRI), with a focus on making robot programming accessible to non-experts. Her work centers on Programming by Demonstration (PbD) and Learning from Demonstration, where she systematically compares control methods—kinesthetic guidance, teleoperation, and external controls—to identify the most intuitive approaches for lay users. Her highly cited 2016 paper (59 citations) provides a foundational comparison of robot control types for PbD, while her 2014 study (43 citations) evaluates data glove versus object manipulation for teleoperation, advancing intuitive robot teaching. Beyond technical methods, aus der Wieschen explores the social dimensions of HRI, notably in her 2019 paper (40 citations) on emotion expression in robots, arguing for context- and culture-dependent emotional displays to improve interaction quality. She also investigates error feedback and resolution strategies, using participatory design to develop robust learning systems. Her work bridges engineering and social science, offering practical insights for industrial automation and everyday robotics. With over 180 total citations, her research is essential for students and engineers seeking to design user-friendly, socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A comparison of types of robot control for programming by Demonstration59 citations · 2016
- 2
- 3Emotion Expression in HRI – When and Why40 citations · 2019
- 4A Comparison of Types of Robot Control for Programming by Demonstration35 citations · 2016
- 5Error Feedback for Robust Learning from Demonstration3 citations · 2015
- 6
- 7Intuitive error resolution strategies during robot demonstration2 citations · 2014