cv

Basics

Name Alberta Longhini
Label Ph.D. Candidate
Email albertal@kth.se
Url https://albilo17.github.io/
Summary A Ph.D. candidate focusing on adaptive manipulation of deformable objects at the Division of Robotics, Perception, and Learning (RPL), KTH Royal Institute of Technology, with a research interest in combining robotics and machine learning for better perception and manipulation in unstructured environments.

Work

  • 2023 - 2023
    Visiting Researcher
    Carnegie Mellon University
    Collaborated with researchers in deformable object manipulation.
    • Supervisor: Zackory Erickson
  • 2021 - Present
    Teaching Assistant
    KTH Royal Institute of Technology
    • Introduction to Robotics (2021-2024)
    • Image Analysis and Computer Vision (2021-2023)
  • 2021 - Present
    Ph.D. Candidate
    KTH Royal Institute of Technology
    Working on adaptive manipulation of deformable objects using robotics and machine learning.
    • Supervisors: Danica Kragic, Michael C. Welle, Jens Lundell

Education

  • 2021 - Present

    Stockholm, Sweden

    Ph.D.
    KTH Royal Institute of Technology
    Computer Science
  • 2018 - 2021

    Padua, Italy

    M.Sc.
    University of Padua
    Automation Engineering
  • 2015 - 2018

    Padua, Italy

    B.Sc.
    University of Padua
    Information Engineering

Publications

Awards

  • 2017.01.01
    Mille e una lode Award
    University of Padua
    Awarded a selective scholarship by the University of Padova to excellent students.

Skills

Python
ROS
C++

Languages

Italian
Native
English
Fluent
Spanish
Conversational

References

Danica Kragic
KTH Royal Institute of Technology, Sweden
Zackory Erickson
Carnegie Mellon University, USA
Michael C. Welle
KTH Royal Institute of Technology, Sweden
Jens Lundell
KTH Royal Institute of Technology, Sweden