Edoardo Lamon

PhD Student

Contacts

edoardo.lamon@iit.it

Social profiles

linkedin googlescholar researchgate

About

Edoardo Lamon is a PhD candidate at the Human-Robot Interfaces and Physical Interaction (HRI²) group at the Italian Institute of Technology (IIT), Genoa, and at the Department of Information Engineering, University of Pisa, Italy. He received a B.Sc. degree in Information Engineering and M.Sc. degree in Control and Automation Engineering from University of Padova, Italy. His research focus on combining lean manufacturing and robotics knowledge, with the aim to boost collaborative robotics in smart factories. His interests lie in human-robot collaboration, robot control and learning.

IIT Publications

  • 2020
  • Balatti P.iit, Fusaro F.iit, Villa N., Lamon E.iit, Ajoudani A.iit

    A collaborative robotic approach to autonomous pallet jack transportation and positioning

    IEEE ACESS
  • Lamon E.iit, Fusaro F.iit, Balatti P.iit, Kim W.iit, Ajoudani A.iit

    A Visuo-Haptic Guidance Interface for the Mobile Collaborative Robotic Assistant (MOCA)

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Kim W.iit, Balatti P.iit, Lamon E.iit, Ajoudani A.iit

    MOCA-MAN: A MObile and reconfigurable Collaborative Robot Assistant for conjoined huMAN-robot actions

    2020 International Conference on Robotics and Automation (ICRA)
  • Lamon E.iit, Lenori M., Kim W.iit, Ajoudani A.iit

    Towards an Intelligent Collaborative Robotic System for Mixed Case Palletizing

    IEEE International Conference on Robotics and Automation (ICRA)
  • 2019
  • Lamon E.iit, De Franco A.iit, Peternel L.iit, Ajoudani A.iit
    DOI

    A Capability-Aware Role Allocation Approach to Industrial Assembly Tasks

    IEEE Robotics and Automation Letters, vol. 4, (no. 4), pp. 3378-3385
  • Fortini L.iit, Balatti P.iit, Lamon E.iit, De Momi E.iit, Ajoudani A.
    DOI

    A Collaborative Robotic Approach to Gaze-Based Upper-Limb Assisted Reaching

    IWOBI 2019 - IEEE International Work Conference on Bioinspired Intelligence, Proceedings, pp. 63-68
  • Balatti P.iit, De Franco A., Lamon E.iit, De Momi E., Ajoudani A.iit

    An Augmented Reality Interface for Improving Task Performance in Close-Proximity Teleoperation

    Istituto di Robotica e Macchine Intelligenti ​3D
  • De Franco A., Lamon E.iit, Balatti P.iit, De Momi E., Ajoudani A.
    DOI

    An Intuitive Augmented Reality Interface for Task Scheduling, Monitoring, and Work Performance Improvement in Human-Robot Collaboration

    IWOBI 2019 - IEEE International Work Conference on Bioinspired Intelligence, Proceedings, pp. 75-80
  • Lamon E.iit, Peternel L.iit, Ajoudani A.iit
    DOI

    Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation

    IEEE-RAS International Conference on Humanoid Robots, vol. 2018-November, pp. 684-689

Scientific Talks

  • 2020
  • Lamon E.iit, Fusaro F.iit, Balatti P.iit, Kim W.iit, Ajoudani A.iit

    A Visuo-Haptic Guidance Interface for the Mobile Collaborative Robotic Assistant (MOCA)

  • Lamon E.iit, Lenori M., Kim W.iit, Ajoudani A.iit

    Towards an Intelligent Collaborative Robotic System for Mixed Case Palletizing

  • 2019
  • Lamon E.iit, De Franco A.iit, Peternel L.iit, Ajoudani A.iit

    A Capability-Aware Role Allocation Approach to Industrial Assembly Tasks

  • Lamon E.iit, Peternel L.iit, Ajoudani A.iit

    Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation