Papers
9
Total Citations
67
H-Index
4
About
Dongcai Lu is a leading researcher in human-robot interaction and intelligent service robotics, with a focus on enabling robots to understand and execute natural language instructions in domestic environments. His work bridges commonsense reasoning, multimodal perception, and automated planning, addressing the fundamental challenge of translating open-ended user commands into executable robot actions. Lu’s key contributions include the development of probabilistic graphical models, such as POMDPs, for robust spoken dialog systems that handle speech recognition uncertainty, and the integration of Answer Set Programming with semantic knowledge bases for task planning. He is also recognized for his role in creating the award-winning KeJia robot, which secured the championship at RoboCup@Home 2014—a testament to his team’s success in deploying advanced cognitive functions in real-world service robots. With over 67 citations across his most-cited works, including influential papers on open knowledge extraction and grounding for human-robot interaction, Lu’s research has significantly advanced the field’s ability to build intuitive, intelligent domestic robots that can collaborate seamlessly with non-expert users.
Research Focus
Key Achievements
Top Papers
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- 3Interpreting and extracting open knowledge for human-robot interaction10 citations · 2017
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- 6Help Me! Sharing of Instructions Between Remote and Heterogeneous Robots3 citations · 2016
- 7KeJia: The Intelligent Domestic Robot for RoboCup@Home 20152 citations · 2015
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- 9KeJia: The Intelligent Service Robot for RoboCup@Home 20142 citations · 2014