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Daniele Pucci

Head of Artificial and Mechanical Intelligence
Researcher Tenure Track - Principal Investigator
Artificial and Mechanical Intelligence
Research center

Daniele received the bachelor and master degrees in Control Engineering with highest honors from ”Sapienza”, University of Rome, in 2007 and 2009, respectively. In 2013, he earned the PhD title with a thesis prepared at INRIA Sophia Antipolis, France, with the supervision of Tarek Hamel, Salvatore Monaco, and Claude Samson. From 2013 to 2017, he has been a postdoc at the Istituto Italiano di Tecnologia (IIT) working within the EU project CoDyCo focusing on the balancing problem of the iCub humanoid robot. From August 2017 to August 2021, he has been the head of the Dynamic Interaction Control lab, a group of about 20 members focusing on the iCub locomotion walking problem. In this period, Daniele also laid the basis for the "Aerial Humanoid Robotics", a new branch of Robotics whose main aim is to achieve flying humanoid robots. Daniele has also been the scientific PI of the H2020 European Project AnDy, and now is: task leader of the H2020 European Project SoftManBot, coordinator of the joint laboratory between IIT and Honda JP, principal investigator (PI) in the Camozzi-IIT and Danieli Automation-IIT joint labs. Lastly, Daniele is the coordinator of the ergoCub project, a 5 million, three year joint project between INAIL and IIT.  Since September 2021, Daniele is the PI leading the  Artificial and Mechanical Intelligence  research line at IIT, a team composed of about forty members that combines AI and Mechanics to devise the next generation of the iCub humanoid robot. 

Concerning awards and recognitions, in 2009 Daniele received the ”Excellence Path Award” from Sapienza for his master studies. In 2019, he was awarded as Innovator of the year Under 35 Europe  from the MIT Technology Review magazine for conceiving the iRonCub, the first jet-powered flying humanoid robot. Since 2020, Daniele is a visiting lecturer at University of Manchester. In July 2020, Daniele was selected to represent Italy at the Global Partnership on Artificial Intelligence (GPAI, conceived by Canada and France during their G7 presidencies) for the working group on COVID-19 response. In 2022, Daniele was selected as reviewer of EU projects. Also, in 2022, Daniele was the leader of the iCub team during the ANA Avatar XPRIZE, a four-year 10M$ international competition for making robotic avatars. Starting from 100 initial teams, the iCub team scored 2nd after semifinal, and 14th after finals because of a system failure during day-1 testing; the iCub team scored 1st in the specific category of walking humanoids. 

All Publications
Guedelha N., Pasandi V., L'Erario G., Traversaro S., Pucci D.
A Flexible MATLAB/Simulink Simulator for Robotic Floating-base Systems in Contact with the Ground: Theoretical Background and Implementation Details
International Journal of Semantic Computing
Hauser K., Watson E.N., Bae J., Bankston J., Behnke S., Borgia B., Catalano M.G., Dafarra S., van Erp J. B. F., Ferris T., Fishel J., Hoffman G., Ivaldi S., Kanehiro F., Kheddar A., Lannuzel G., Morie J.F., Naughton P., NGuyen S., Oh P., Padir T., Pippine J., Park J., Vaz J., Pucci D., Whitney P., Wu P., Locke D.
Analysis and Perspectives on the ANA Avatar XPRIZE Competition
International Journal of Social Robotics
Duan A., Batzianoulis I., Camoriano R., Rosasco L., Pucci D., Billard A.
A structured prediction approach for robot imitation learning
International Journal of Robotics Research, vol. 43, (no. 2), pp. 113-133
Dafarra S., Pattacini U., Romualdi G., Rapetti L., Grieco R., Darvish K., Milani G., Valli E., Sorrentino I., Viceconte P.M., Scalzo A., Traversaro S., Sartore C., Elobaid M., Guedelha N., Herron C., Leonessa A., Draicchio F., Metta G., Maggiali M., Pucci D.
iCub3 avatar system: Enabling remote fully immersive embodiment of humanoid robots
Science Robotics, vol. 9, (no. 86)
Rapetti L., Sartore C., Elobaid M., Tirupachuri Y., Draicchio F., Kawakami T., Yoshiike T., Pucci D.
A Control Approach for Human-Robot Ergonomic Payload Lifting
Proceedings - IEEE International Conference on Robotics and Automation, vol. 2023-May, pp. 7504-7510
Conference Paper Conference