Scholar
Antonio Paolillo
Google Scholar ID: 9yjlY5gAAAAJ
Senior Researcher, IDSIA USI-SUPSI, Lugano
Citations & Impact
Citations
438
H-index
12
i10-index
17
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Elevated to IEEE Senior Member (Oct 2024)
- Awarded Italian National Scientific Qualification as Associate Professor in fields 09/G1, 09/H1, and 01/B1 (Jun 2024)
- Paper 'Imitation learning-based Direct Visual Servoing using the large projection formulation' published in Robotics and Autonomous Systems (Mar 2025)
- Paper 'A Map-free Deep Learning-based Framework for Gate-to-Gate Monocular Visual Navigation...' accepted to ICRA 2025 (Jan 2025)
- Paper 'A Service Robot in the Wild: Analysis of Users Intentions...' published (Jun 2024)
- Participated in the DARPA Robotics Challenge as a member of the AIST-NEDO team (Jun 2015)
Research Experience
- Researcher at IDSIA from May 2020 to September 2024; promoted to Senior Researcher
- Post-doc at EPFL, Lausanne, Switzerland (Oct 2019 – Apr 2020)
- Researcher at Idiap Research Institute, Martigny, Switzerland (Jan 2018 – Aug 2019)
- Researcher at CNRS-University of Montpellier, France (Apr 2015 – Dec 2017)
- Visiting researcher at CNRS-AIST Joint Robotics Laboratory, Tsukuba, Japan (Apr–Nov 2015)
- Associate Editor for IEEE Robotics and Automation Letters (RA-L) since 2023
- Associate Editor for IEEE/RSJ IROS (2021–2023) and International Conference on Ubiquitous Robots (UR, 2024–2025)
- Work package leader of the EU project SERMAS; involved in other Swiss projects
- Chair of the 17th International Workshop on Human-Friendly Robotics (HFR 2024)
Background
- Senior Researcher at Dalle Molle Institute for Artificial Intelligence (IDSIA), USI-SUPSI, Lugano, Switzerland
- Leads rehabilitation robotics and social human-robot interaction activities within the 'Autonomous Robotics' research area at IDSIA
- Research aims to bridge the gap between people and robots and democratize robotic technologies
- Research interests include human-robot interaction, robotic perception, humanoid and mobile robotics, robotic manipulation, sensor-based control, and visual servoing
- Applies methods from robotic control, machine learning, and AI to develop user-friendly, interactive, and adaptive robotic systems
