PhD Student

Nils WildeResearch Interests

Nils’ research focuses on learning user-preferences for robot motion planning tasks via interaction. While classic motion planning problems can be efficiently solved, new challenges arise when including user specifications on the environment. Instead of requiring the user to precisely specify a setup initially, Nils’ work investigates how user preferences can be learned iteratively over multiple interactions. The research is co-supervised by Professor Stephen L. Smith.

Projects

Current Projects

Education

  • BASc, Computational Engineering Science, Technical University Berlin (2012)
  • MASc, Computational Engineering Science, Technical University Berlin (2016)
Affiliation: 
University of Waterloo
Contact information: 

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