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Nadia Figueroa

PhD Student


ME A3 424


  • Office: +41 21 69 31060


  • (2016/2017) Multi-Arm Coordination Strategies and Data-Driven Self-Collision Avoidance:

  • (2015/2016) Learning Complex Sequential Tasks from Demonstration: Uni-Manual and Bi-Manual Case Studies

Media Coverage

  • (2017) Top 5 Finalist for the KUKA Innovation Award 2017


    Conference Proceedings

  • Mirrazavi Salehian, S. S., Figueroa, N. and Billard, A. (2017) Dynamical System-based Motion Planning for Multi-Arm Systems: Reaching for moving objects. In Proceedings of International Joint Conference on Artificial Intelligence 2017, Melbourne, Australia. [IJCAI 2017] [show abstract] [pdf] [BibTeX]
  • Mirrazavi Salehian, S. S., Figueroa, N. and Billard, A. (2016) Coordinated multi-arm motion planning: Reaching for moving objects in the face of uncertainty. In Proceedings of Robotics: Science and Systems XVI , Arbor, Michigan, USA. Received Best Student paper Award. Also nominated as the Best Conference Paper Award. Best Student Paper Award. Best Systems Paper Award.. [RSS 2016] [home page] [show abstract] [BibTeX]
    Source code from this publication available here
  • Beetz, M., Bessler, D., Winkler, J., Bartels, G., Billard, A., Figueroa, N., Pais, A. L. and et al. (2016) Open Robotics Research Using Web-based Knowledge Services. In Proceedings of the International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016. Accepted. [BibTeX]
  • Figueroa, N., Pais, A. L. and Billard, A. (2016) Learning Complex Sequential Tasks from Demonstration: A Pizza Dough Rolling Case Study. In Proceedings of the 2016 ACM/IEEE International Conference on Human-Robot Interaction. HRI Pioneers Workshop. [HRI 2016] [show abstract] [pdf] [BibTeX]
    Source code from this publication available here

    Nadia Figueroa is a Ph.D. student in the Learning Algorithms and Systems Laboratory (LASA) at the Swiss Federal Institute of Technology in Lausanne (EPFL) since October 2013. She received her M.Sc. in Automation and Robotics from TU Dortmund (Germany) in 2012 and B.Sc. in Mechatronics from Monterrey Tech (Mexico) in 2007. During her master studies, she developed her thesis in the Institute of Robotics and Mechatronics (RM) at the German Aerospace Center (DLR). It addressed the problem of self-verification of the complex kinematic chains of the humanoid robot Rollin' Justin by using on-board and external sensory systems.

    She then served as a Research Assistant at the Engineering Division of New York University (NYU) Abu Dhabi, where she worked on novel algorithms for contextual scene labeling, indoor mapping and 3D modeling using Kinect-like sensors, as well as sEMG data analysis and muscle force control of bionic arms.

    Her current research focuses on developing and applying machine learning techniques for automatic segmentation, task decomposition and primitive motion modeling of complex sequential tasks in the Robot Learning from Demonstration (LfD) paradigm.

    Research Abstract

    For a detailed publication list, check her profiles on ResearchGate, Academia.edu or Google Scholar.

    Prior work: For an overview of Nadia's research prior to LASA, check this seminar she gave at NYU AD in 2013 regarding 3D computer vision and it's applications to robotics and multimedia. You can also view the following short video of her master thesis project at DLR (2012) concerning the verification of a humanoid's upper body kinematics using an on-board stereo camera system.

Last update: 11/03/08