Papers

5

Total Citations

35

H-Index

4

About

Joerg Christian Wolf is a pioneering researcher in human-robot interaction, specializing in multimodal communication systems that integrate speech and gesture. His work focuses on enabling service robots to be intuitively programmable by non-expert users through natural language and physical cues. Wolf’s major contributions include developing algorithms for pairing speech and gesture in instruction dialogues, as demonstrated in his most-cited paper (13 citations), which analyzed a corpus of free-flowing human-to-human instructions to improve robot understanding. He also explored the impact of spoken interfaces on service robot design (8 citations), emphasizing user-friendly programming for route and task instructions. Wolf’s notable achievement is the creation of the Multimodal Instruction-Based Learning (MIBL) corpus, a foundational resource for designing user-programmable robots, collected through card game instruction scenarios (7 citations). His work on the BunnyBot humanoid platform (3 citations) further advanced research and teaching in robotics. With a focus on bridging human communication and robotic systems, Wolf’s research has laid groundwork for more accessible, intuitive human-robot collaboration, making him a key figure in the evolution of interactive robotics.

Research Focus

Key Achievements

4
H-Index
5
Papers
35
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Linking Speech and Gesture in Multimodal Instruction Systems
13 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Plymouth, Intelligent Systems Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago