About

Yasser Mohammad is a leading researcher in human-robot interaction (HRI), with a focus on enabling robots to learn naturally from human demonstrations and gestures. His major contributions lie in developing unsupervised learning frameworks that allow robots to simultaneously recognize gestures, actions, and their associations—a breakthrough that reduces the need for explicit programming. His 2009 paper on this topic has garnered 55 citations, reflecting its foundational impact. Mohammad has also pioneered methods for learning interaction protocols using Augmented Bayesian Networks and for detecting natural interactive behavior through physiological signals, with works accumulating 37 and 36 citations, respectively. His research on constrained motif discovery in time series (45 citations) and robust learning from demonstrations using multidimensional SAX (20 citations) has advanced the field of robot skill acquisition. Notable achievements include his work on mutual adaptation between humans and robots (19 citations) and autonomous gaze control development (19 citations), which explore the subtle dynamics of social interaction. Mohammad's 2012 paper on "Fluid Imitation" (19 citations) further demonstrates his commitment to creating robots that can seamlessly learn and adapt, making him a key figure in the quest for intuitive, human-friendly robotics.

Research Focus

Key Achievements

15
H-Index
43
Papers
564
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Unsupervised simultaneous learning of gestures, actions and their associations for Human-Robot Interaction
55 citations · 2009
📈 Most Prolific Year: 2009 (6 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Kyoto University, Assiut University, Kyoto College of Graduate Studies for Informatics, National Institute of Advanced Industrial Science and Technology, Kyoto University of Education, KDDI Research (Japan)

Top Papers

  1. 1
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    Learning from Demonstration
    47 citations · 2015
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    Fluid Imitation
    19 citations · 2012
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago