Joerg Christian Wolf
University of Plymouth, Intelligent Systems Research (United States)
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
Top Papers
- 1Linking Speech and Gesture in Multimodal Instruction Systems13 citations · 2006
- 2The impact of spoken interfaces on the design of service robots8 citations · 2005
- 3Multimodal Corpus Collection for the Design of User-Programmable Robots7 citations · 2004
- 4Understanding Rules in Human-Robot Instructions4 citations · 2007
- 5BunnyBot: Humanoid Platform for Research and Teaching3 citations · 2009