Papers
10
Total Citations
289
H-Index
8
About
Guillaume Infantes is a leading researcher in human-robot interaction and autonomous robotic systems, with a career spanning over two decades of impactful contributions. His work centers on enabling robots to understand and respond to humans through multimodal communication, particularly via gesture and speech recognition, as demonstrated in his highly cited 2011 paper (89 citations) on two-handed gesture recognition fused with speech for robot command. Infantes has also made foundational advances in robot introspection and behavior learning, using Hidden Markov Models to allow robots to self-monitor and adapt their actions (64 citations). His development of Rackham, an interactive robot-guide deployed in permanent exhibitions (54 citations), showcases his ability to translate research into real-world applications. Additionally, Infantes has contributed to distributed architectures for multi-robot mission supervision (22 citations) and anytime execution-driven planning (14 citations), addressing the critical challenge of robust, flexible robot control. Through his work on learning behavior models and plan repair, he has advanced the field's understanding of how robots can autonomously recover from failures, making his research essential for students and engineers building reliable, interactive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Two-handed gesture recognition and fusion with speech to command a robot89 citations · 2011
- 2Robot introspection through learned hidden Markov models64 citations · 2005
- 3Rackham: An Interactive Robot-Guide54 citations · 2006
- 4
- 5Learning the behavior model of a robot18 citations · 2010
- 6A generic framework for anytime execution-driven planning in robotics14 citations · 2011
- 7Robel: synthesizing and controlling complex robust robot behaviors10 citations · 2004
- 8Learning Behaviors Models for Robot Execution Control9 citations · 2006
- 9Using hybrid planning for plan reparation6 citations · 2015
- 10DBN versus HMM for Gesture Recognition in Human-Robot Interaction3 citations · 2009