Christian Landsiedel
Papers
11
Total Citations
317
H-Index
7
About
Christian Landsiedel is a leading researcher in human-robot interaction (HRI), specializing in enabling robots to understand and collaborate with humans in unstructured, real-world environments. His work centers on three key areas: spatial reasoning, multimodal communication, and proactive robot behavior. Landsiedel’s most influential contribution is his pioneering work on real-time 3D hand gesture recognition using the Kinect sensor (174 citations), which demonstrated how depth sensors could make gesture-based robot control robust to cluttered backgrounds. He further advanced the field through his comprehensive review of spatial reasoning for robotics (56 citations), establishing the geometric and semantic foundations for robots to navigate and interact with human spaces. As the lead researcher on the Interactive Urban Robot (IURO) project, Landsiedel explored how robots could proactively ask for directions and interpret human route descriptions using multimodal feedback—combining speech, gesture, and facial expressions. His work on feedback guidelines (10 citations) and dialog strategies for handling miscommunication (6 citations) has been instrumental in designing more natural and efficient HRI systems. Through his research, Landsiedel has laid critical groundwork for truly autonomous robots capable of operating alongside humans in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2A review of spatial reasoning and interaction for real-world robotics56 citations · 2017
- 3Towards proactive human-robot interaction in human environments28 citations · 2011
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- 5
- 6Road geometry estimation for urban semantic maps using open data10 citations · 2016
- 7
- 8Route description interpretation on automatically labeled robot maps6 citations · 2013
- 9Dialog strategies for handling miscommunication in task-related HRI6 citations · 2011
- 10