Mauricio Correa
Papers
12
Total Citations
187
H-Index
7
About
Mauricio Correa is a Chilean robotics researcher whose work centers on human-robot interaction (HRI), computer vision, and autonomous social robotics. His research has made significant contributions to enabling robots to perceive, identify, and communicate naturally with people in real-world environments, with a particular focus on domestic and social settings. Correa's most influential work, "Human Detection and Identification by Robots Using Thermal and Visual Information in Domestic Environments" (2011, 65 citations), exemplifies his signature approach of fusing thermal infrared and visual imaging to improve robustness in human detection — a technically challenging problem in uncontrolled lighting conditions. Complementing this, his comparative studies on face recognition using thermal infrared images helped establish methodological benchmarks for HRI applications. His gesture recognition research, spanning both static and dynamic modalities, further advanced natural, intuitive robot communication. A notable achievement is his development of Bender, a general-purpose social robot evaluated across diverse real-world environments, and his work on episodic long-term memory for robots — pushing toward machines that learn from experience. Active within the RoboCup @Home community, Correa has also contributed to shaping the broader robotics research landscape in Chile, advocating for the field's growth in developing nations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-Time Hand Gesture Recognition for Human Robot Interaction33 citations · 2010
- 3
- 4
- 5Dynamic gesture recognition for human robot interaction10 citations · 2009
- 6
- 7An Episodic Long-Term Memory for Robots: The Bender Case9 citations · 2015
- 8UChile HomeBreakers 2010 Team Description Paper7 citations · 2010
- 9Robotics research in Chile6 citations · 2016
- 10