Videos

Learning real-world tasks from demonstrations

with R. Jeong, F. Romano, J. Kay, D. Khosid, and K. Bousmalis

Learning Dexterous Manipulation from Suboptimal Experts

References

  • Jeong, Rae, et al. "Learning Dexterous Manipulation from Suboptimal Experts." arXiv preprint arXiv:2010.08587 (2020).
  • Learning real-world tasks from simulations

    with R. Jeong, F. Romano, J. Kay, D. Khosid, and K. Bousmalis

    Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

    Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer

    References

  • Jeong, Rae, et al. "Self-supervised sim-to-real adaptation for visual robotic manipulation." 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020.
  • Jeong, Rae, et al. "Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer." arXiv preprint arXiv:1910.09471 (2019).
  • Learning real-world tasks with minimal prior

    with M. Martins, G. Vezzani, T. Lampe, M. Neunert, M. Riedmiller

    Ball-in-a-cup

    Peg-in-hole

    References

  • Schwab, Devin, et al. "Simultaneously learning vision and feature-based control policies for real-world ball-in-a-cup." arXiv preprint arXiv:1902.04706 (2019).
  • Vezzani, Giulia, et al. ""What, not how"--Solving an under-actuated insertion task from scratch." arXiv preprint arXiv:2010.15492 (2020).
  • Whole-body dynamics with contact switching

    with D. Pucci, F. Romano, G. Nava, S. Traversaro, S. Dafarra and F. Andrade

    References

  • Dafarra S., Romano F. & Nori F. 2016, ‘Torque-Controlled Stepping-Strategy Push Recovery: Design and Implementation on the iCub Humanoid Robot’, IEEE-RAS International Conference on Humanoid Robots, Cancun, Mexico,November 15-17 2016.
  • Pucci D., Nava G. & Nori F. 2016, ‘An Automatic Gain Tuning Method of a Momentum Based Balancing Controller for Humanoid Robots’, IEEE/RAS International Conference of Humanoids Robots, Cancun, Mexico,November 15-17 2016.
  • Nuno Guedelha, Naveen Kuppuswamy, Silvio Traversaro & Francesco Nori 2016, ‘Self-calibration of Joint Offsets for Humanoid Robots Using Accelerometer Measurements’, 2016 IEEE-RAS International Conference on Humanoid Robots.
  • Whole-Body Dynamics Control

    with D. Pucci, F. Romano and G. Nava

    References

  • Nori F., Traversaro S., Eljaik J., Romano F., Del Prete A. & Pucci D. 2015, ‘iCub whole-body control through force regulation on rigid non-coplanar contacts’, Frontiers in Robotics and AI.
  • Pucci D., Romano F. & Nori F. 2015, ‘Collocated Adaptive Control of Underactuated Mechanical Systems’, IEEE Transactions on Robotics.
  • Whole-Body Dynamics Modeling and Identification

    with S. Traversaro, R. Camoriano

    References

  • Mingo H.E., Traversaro S., Alessio R., Mirko F., Settimi A., Romano F., Natale L., Bicchi A., Nori F. & Tsagarakis G. Nikos 2014, ‘A YARP based plugin for Gazebo Simulator’, 2014 Modelling and Simulation for Autonomous Systems, Rome, Italy, 5-6, May, 2014.
  • Whole-Body Dynamics Estimation

    with S. Traversaro, M. Fumagalli and S. Ivaldi

    References

  • Nori F., Kuppuswamy N. & Traversaro S. 2015, ‘Simultaneous state and dynamics estimation in articulated structures’, IEEE/RSJ International Conference on Intelligent Robots and Systems (2015), Hamburg, Germany, October (29 September - 1 October, 2015).
  • S. Traversaro, A. Del Prete, S. Ivaldi, and F. Nori. Inertial parameters identification and joint torques estimation with proximal force/torque sensing. In Robotics and Automation (ICRA), 2015 IEEE Inter- national Conference on, pages 2105–2110. IEEE, 2015.
  • Ciliberto C., Fiorio L., Maggiali M., Natale L.R. L., Metta G., Sandini G. & Nori F. 2014, ‘Exploiting global force torque measurements for local compliance estimation in tactile arrays’, IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, Illinois, September 14-18, 2014.
  • Fumagalli M., Ivaldi S., Randazzo M., Natale L., Metta G., Sandini G. & Nori F. 2012, ‘Force feedback exploiting tactile and proximal force/torque sensing. Theory and implementation on the humanoid robot iCub.’, Autonomous Robots, vol. 33,no. 4, pp. 381–398.