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Marcus M. Scheunemann is a postdoctoral researcher focusing on enabling robots to generate autonomous, curiosity-driven behavior. His projects include exploring human preferences for robot behavior and developing insights into predictive information in human-robot interactions. Some noteworthy works include papers on ‘Warmth and Competence’ in robot behavior and supplementary materials for the conference on ‘Human Perception of Predictive Information in Robots’. Additionally, there are articles discussing technical implementations such as deploying a Pelican website using GitLab CI tools and information regarding BLE4HRI code hosted on GitLab and GitHub. His research is aligned with the Adaptive Systems Research Group and includes contributions to various robotics conferences.

Platform
Web
Keywords
researchairoboticsbehavior generationhuman-robot interaction
Task
behavior generation
Features

• autonomous behavior generation

• curiosity-driven ai research

• human-robot interaction studies

• publication availability

• technical implementation guidelines

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