Andreas Kipp
Papers
5
Total Citations
16
H-Index
2
About
Andreas Kipp is a researcher in social robotics, focusing on making human-robot interaction more intuitive, engaging, and emotionally resonant. His work centers on designing anthropomorphic robots and dynamic dialog systems that enhance collaboration and communication between humans and machines. Kipp’s most cited paper, “Humotion” (2016, 6 citations), explores how anthropomorphic features can boost social interaction by making robots more intelligible and relatable. In “Dynamic dialog system for human robot collaboration” (2014, 5 citations), he developed a system that enables robots like Flobi to adapt their verbal output in real-time during interactive games, demonstrating a key step toward natural, responsive communication. His research also extends to applied contexts, including building interactive robots with LEGO Mindstorms and investigating social robots for long-term space missions (2012, 2 citations), highlighting the potential of robotic companions in isolated environments. Through hands-on demonstrations, such as “Demonstration of emotion modeling using Flobi” (2014, 1 citation), Kipp has shown how robots can produce human-like emotional expressions, bridging the gap between technical functionality and social presence. His contributions are foundational for creating robots that are not only functional but also socially aware and emotionally intelligent.
Research Focus
Key Achievements
Top Papers
- 1Humotion6 citations · 2016
- 2Dynamic dialog system for human robot collaboration5 citations · 2014
- 3Applied Social Robotics—Building Interactive Robots with LEGO Mindstorms2 citations · 2016
- 4Social Robots for Long-Term Space Missions2 citations · 2012
- 5Demonstration of emotion modeling using Flobi1 citations · 2014