Florian Shkurti
Scholar

Florian Shkurti

Google Scholar ID: BDmtLHsAAAAJ
Assistant Professor, Computer Science, University of Toronto
RoboticsMachine LearningComputer VisionArtificial Intelligence
Citations & Impact
All-time
Citations
2,813
 
H-index
26
 
i10-index
41
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Research Experience
  • Currently Assistant Professor, Department of Computer Science, University of Toronto
  • Visiting Research Scientist at AI2 (Allen Institute for AI) in Seattle with Dieter Fox's robotics group during sabbatical year 2025–2026
  • Leads the RVL lab focusing on robot vision and learning
  • Research topics include imitation learning, reinforcement learning, planning under uncertainty, continual learning, active perception, shared autonomy, safe exploration, etc.
  • In lab automation: manipulation of liquids/powders, long-horizon planning, multi-robot coordination, optimal experiment design
  • In field robotics: visual attention, sensor data summarization, marine robotics
Background
  • Assistant Professor in the Department of Computer Science at the University of Toronto, Mississauga Campus (UTM)
  • Faculty member at the UofT Robotics Institute, Vector Institute, and Acceleration Consortium
  • Directs the Robot Vision and Learning (RVL) lab
  • Research focuses on robotics, spanning machine learning, perception, planning, and control
  • Develops methods enabling robots to perceive, reason, and act effectively and safely in dynamic environments, especially alongside humans
  • Aims to allow users to specify robot tasks without coding and provide safety guarantees during learning and deployment
  • Primary application areas: robotics for chemistry/biology lab automation and field robotics for environmental monitoring