Pamela's research focuses on understanding and analyzing interactive human motion and behavior. In particular, she is interested in determining which motion patterns and coordination strategies observed in human teams can be used to build robotic systems capable of close, efficient, fluid, and extended cooperation with humans.
Before joining the Adaptive Systems Lab, Pamela earned her Ph.D in Computer Science at Université Bretagne-Sud in France under the supervision of Professors Sylvie Gibet and Pierre-François Marteau. Her work lied at the intersection of human motion analysis, character animation and affective computing. She worked on the definition of compact motion representations that are both suitable for the analysis and generation of human expressive bodily motions. She was also part of the Expression team at the French Research Institute in Computer Science and Random Systems (IRISA).
- Shared decision making and progressive automation for manufacturing assembly.
BEng, Ecole Nationale d'Ingénieurs de Brest and Universidad Eafit
MASc, Ecole Nationale d'Ingénieurs de Brest
PhD, Université Bretagne-Sud