Papers
8
Total Citations
130
H-Index
4
About
Brice Burger is a robotics researcher specializing in multimodal human-robot interaction, with a particular focus on integrating speech and gesture recognition to enable more natural and intuitive communication between humans and robots. His work addresses one of the central challenges in personal and service robotics: endowing robot companions with the perceptual and cognitive abilities needed to interact seamlessly with people in everyday environments. Burger's most significant contribution, "Two-handed Gesture Recognition and Fusion with Speech to Command a Robot" (2011), has garnered 89 citations and stands as a landmark study in combining gesture and speech modalities for robot control. His broader research portfolio demonstrates a sustained effort to develop embedded, modular multimodal interfaces that can operate reliably on mobile robotic platforms, exploring techniques ranging from Hidden Markov Models to Dynamic Bayesian Networks for gesture recognition. Across his career, Burger has consistently tackled the practical engineering challenges of deploying human perception algorithms in real-world robotic systems, with applications in assistive robotics and companion robots for dependent individuals. His work has helped lay important groundwork for researchers and engineers seeking to make robots more accessible, responsive, and genuinely useful partners in human environments.
Research Focus
Key Achievements
Top Papers
- 1Two-handed gesture recognition and fusion with speech to command a robot89 citations · 2011
- 2Multimodal Interaction Abilities for a Robot Companion20 citations · 2008
- 3Mutual assistance between speech and vision for human-robot interaction7 citations · 2008
- 4
- 5DBN versus HMM for Gesture Recognition in Human-Robot Interaction3 citations · 2009
- 6
- 7Improving user interfaces of interactive robots with multimodality2 citations · 2009
- 8IMPLEMENTATION OF HUMAN PERCEPTION ALGORITHMS ON A MOBILE ROBOT2 citations · 2007