Ludovic  Righetti

Ludovic Righetti

Associate Professor

Mechanical and Aerospace Engineering - Electrical and Computer Engineering

Biography

Ludovic Righetti is an Associate Professor in the Electrical and Computer Engineering Department and in the Mechanical and Aerospace Engineering Department at the Tandon School of Engineering of New York University and a Senior Researcher at the Max-Planck Institute for Intelligent Systems (MPI-IS) in Tübingen, Germany.

He studied at the Ecole Polytechnique Fédérale de Lausanne (Switzerland) where he received an engineering diploma in Computer Science (eq. MSc) in 2004 and a Doctorate in Science in 2008 under the supervision of Professor Auke Ijspeert. Between March 2009 and August 2012, he was a postdoctoral fellow at the Computational Learning and Motor Control Lab with Professor Schaal (University of Southern California). In September 2012 he started the Movement Generation and Control Group at the Max-Planck Institute for Intelligent Systems in Tübingen, Germany where he became a W2 Independent Research Group Leader (eq. associate professor) in September 2015.

His research focuses on the planning and control of movements for autonomous robots, with a special emphasis on legged locomotion and manipulation but he is more broadly interested in problems at the intersection between decision making, automatic control, optimization, applied dynamical systems and machine learning.

He has received a few awards, most notably the 2010 Georges Giralt PhD Award given by the European Robotics Research Network (EURON) for the best robotics thesis in Europe, the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Best Paper Award, the 2016 IEEE Robotics and Automation Society Early Career Award and the 2016 Heinz Maier-Leibnitz Prize from the German Research Foundation.

Other Publications

Please see the Google Scholar page for an up to date list of publications

Education

Ecole Polytechnique Fédérale de Lausanne, 2008

Doctorate in Science, Robotics

Ecole Polytechnique Fédérale de Lausanne, 2004

Engineering Diploma (B.Sc./M.Sc.), Computer Science

Awards + Distinctions

  • 2016 Heinz Maier-Leibnitz Prize, awarded by the German Research Foundation (DFG) and the German Federal Ministry of Education and Research
  • 2016 IEEE RAS Early Career Award “for contributions to the theory of, and experiments in, robot locomotion and manipulation”, awarded by the IEEE Robotics and Automation Society
  • 2016 Finalist for the best interactive session award at the International Conference on Humanoid Robots (A convex model of humanoid momentum dynamics for multi-contact motion generation, B. Ponton, A. Herzog, S. Schaal and L. Righetti)
  • 2016 Finalist for the best paper award at the International Conference on Robotics and Mechatronics (Stepping stabilization using a combination of dcm tracking and step adjustment, M. Khadiv, A. Herzog, S.A.A. Moosavian, S. Schaal and L. Righetti)
  • 2012 Finalist for the best paper award at the International Conference on Humanoid Robots (Encoding of Periodic and their Transient Motions by a Single Dynamic Movement Primitive, J. Ernesti, L. Righetti, M. Do, T. Asfour and S. Schaal)
  • 2011 Best paper award at the IEEE/RSJ International Conference on Intelligent Robots and Systems (Online movement adaptation based on previous sensor experiences, P. Pastor, L. Righetti, M. Kalakrishnan, S. Schaal)
  • 2010 Georges Giralt PhD Award for the best PhD thesis in Europe in the field of robotics (given by the European Robotics Research Network (EURON))
  • 2006 Finalist for the best student paper award at the IEEE International Conference on Robotics and Automation (Programmable central pattern generators: an application to biped locomotion control, L. Righetti, A.J. Ijspeert)
  • 2004 Jean Landry Award for the diploma thesis Control and Synchronization with Nonlinear Dynamical Systems for an Application to Humanoid Robotics

 

Research Interests

  • Robots with arms and legs
  • Motion planning and control
  • Optimal control / Optimization
  • Machine learning
  • Applied dynamical systems