IIT People Search

Raffaello Camoriano

Post Doc
IIT@MIT
Phone
Address
Research center
Interests
About

Research Interests

My research interests lie at the intersection between the Science and the Engineering of artificial learning systems.

In particular, my work is chiefly focused on devising theoretically-grounded Machine Learning methods capable of scaling up to large datasets, adapting to changing conditions in time, and efficiently interacting with their environments to learn faster and generalize better.

I also find Robotics to be a rich source of ‒and a particularly well-suited testing platform for‒ challenging open research problems, often calling for the development of novel Machine Learning methods. My work in this direction mainly spans visual object recognition and detection, system identification, and locomotion control.

Keywords: Large-scale Machine Learning, Robot Learning, Lifelong Learning, Kernel Methods, Reinforcement Learning

Short Bio

I received the B. Sc. cum laude in Computer Engineering (2011) and the M. Sc. with top grades in Robotics Engineering (2013) from the University of Genoa (UNIGE), Italy. During the B. Sc. and M. Sc., I was awarded a 5-year ISICT/ISSUGE scholarship for the highest-ranking EECS students in Genoa. I completed my Ph. D. at UNIGE in 2017, working at the Italian Institute of Technology (IIT) under the supervision of Prof. Giorgio Metta and Prof. Lorenzo Rosasco. I was awarded the IEEE Computational Intelligence Society Italy Section Chapter’s 2017 Best Ph. D. Thesis Award for my Thesis "Large-scale Kernel Methods and Applications to Lifelong Robot Learning".

Learn More

Education

Title: B. Sc. in Ingegneria Informatica (Laurea Triennale)
Institute: Università degli Studi di Genova
Location: Genoa
Country: Italy
From: 2008 To: 2011

Title: M. Sc. in Robotics Engineering (Laurea Magistrale)
Institute: Università degli Studi di Genova
Location: Genoa
Country: Italy
From: 2011 To: 2013

Title: Ph. D. in Bioengineering and Robotics, Curriculum in Humanoids Robotics. Thesis topic: Large-scale Machine Learning and Lifelong Robot Learning
Institute: Università degli Studi di Genova - joint with Istituto Italiano di Tecnologia
Location: Genoa
Country: Italy
From: 2014 To: 2017

All Publications
2021
Marconi G.M., Camoriano R., Rosasco L., Ciliberto C.
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
IEEE Robotics and Automation Letters, vol. 6, (no. 3), pp. 5650-5657
Article Journal
2021
Marconi G. M., Camoriano R., Rosasco L., Ciliberto C.
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
IEEE International Conference on Robotics and Automation (ICRA)
Conference Paper Conference
2020
Duan A., Camoriano R., Ferigo D., Huang Y., Calandriello D., Rosasco L., Pucci D.
Learning to Avoid Obstacles with Minimal Intervention Control
Frontiers in Robotics and AI
2020
Ferigo D., Camoriano R., Viceconte P. M., Calandriello D., Traversaro S., Rosasco L., Pucci D.
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning
IEEE-RAS International Conference on Humanoid Robots (Humanoids)
Article Conference
2019
Romeres D., Zorzi M., Camoriano R., Traversaro S., Chiuso A.
Derivative-free online learning of inverse dynamics models
IEEE Transactions on Control Systems Technology, vol. 28, (no. 3), pp. 816-830
Scientific Talks
2021
Camoriano R.
Efficient Large-scale Learning from Interaction in Time
Politecnico di Torino - VANDAL Research Group
Institute
2021
Camoriano R.
Efficient Robot Learning from Structured Data and Interaction
Inria Nancy-Grand Est Research Centre
Institute
Awards and Achievements
2021
Ferigo D., Camoriano R., Viceconte P. M., Calandriello D., Traversaro S., Rosasco L., Pucci D.
Nomination for Best Paper Award Finalist, IEEE International Conference on Humanoid Robots (Humanoids) 2020
2020
Camoriano R.
DAAD PostDoc-Net-AI Fellowship 2020 (~10% acceptance rate), DAAD - German Academic Exchange Service
2020
Camoriano R.
Top 33% Reviewer Award, International Conference on Machine Learning (ICML)
2018
Camoriano R.
IEEE Computational Intelligence Society Italy Section Chapter’s 2017 Best Ph. D. Thesis Award; Thesis title: "Large-scale Kernel Methods and Applications to Lifelong Robot Learning"
2018
Camoriano R.
NeurIPS Travel Award, Neural Information Processing Systems 2018