Papers
9
Total Citations
120
H-Index
5
About
Dominique Vaufreydaz is a leading researcher at the intersection of social robotics, human-robot interaction, and computer vision, with a focus on making robots perceptive, expressive, and socially aware. His foundational work on engagement detection, notably in the 2015 paper "Starting engagement detection towards a companion robot using multimodal features" (61 citations), pioneered methods for robots to recognize and initiate social interactions in home environments. He further advanced this area with studies on multi-sensor engagement and personal space perception in autonomous vehicles, addressing critical safety and comfort issues in shared urban spaces. Vaufreydaz has also made significant contributions to robot design and prototyping, developing the PEAR framework (Prototyping Expressive Animated Robots) to bridge the gap between animation artistry and robotic movement, and creating open-source tools that democratize robot animation. His recent work on privacy-compliant group emotion recognition and social interaction generation (SocialInteractionGAN) demonstrates a commitment to ethical AI and naturalistic human behavior modeling. With over 120 total citations across his corpus, Vaufreydaz’s research continues to shape how robots perceive, engage with, and adapt to humans in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Personal space of autonomous car's passengers sitting in the driver's\n seat12 citations · 2018
- 4
- 5MobileRGBD, an open benchmark corpus for mobile RGB-D related algorithms6 citations · 2014
- 6
- 7Stochastic Bayesian Computation for Autonomous Robot Sensorimotor System5 citations · 2015
- 8SocialInteractionGAN: Multi-Person Interaction Sequence Generation5 citations · 2022
- 9