Sylvain Calinon
Scholar

Sylvain Calinon

Google Scholar ID: t7VnipMAAAAJ
Idiap Research Institute
robot manipulationlearning from demonstrationfrugal learningoptimal controlgeometry
Citations & Impact
All-time
Citations
7,292
 
H-index
45
 
i10-index
119
 
Publications
20
 
Co-authors
186
list available
Contact
Resume (English only)
Academic Achievements
  • In 2024, the paper 'Configuration Space Distance Fields for Manipulation Planning' was selected as one of the Outstanding Paper Award Finalists at Robotics: Science and Systems 2024. The same year, 'Tensor Train for Global Optimization Problems in Robotics' received the Best Paper Award (tied) from the IEEE RAS Technical Committee. Also participated in multiple international conference talks.
Research Experience
  • Senior Research Scientist at Idiap Research Institute; Lecturer at EPFL. His research is supported by the European Commission, Swiss National Science Foundation, State Secretariat for Education, Research and Innovation, and Swiss Innovation Agency.
Background
  • Research interests cover robot learning, optimal control, geometrical approaches, and human-robot collaboration. Currently a Senior Research Scientist at the Idiap Research Institute and a Lecturer at Ecole Polytechnique Fédérale de Lausanne (EPFL). Focuses on developing models that can learn new skills from few demonstrations and interactions, and optimal control techniques to exploit learned task variations and coordination patterns.
Miscellany
  • Besides academic work, also focuses on applying research results to assistive and industrial robots, prosthetics and exoskeletons, and teleoperation.