Multiple-model algorithms for distributed tracking of a maneuvering target. - Claudio Fantacci; Giorgio Battistelli; Luigi Chisci; Alfonso Farina; Antonio Graziano (FUSION, 2012)

Distributed tracking with Doppler sensors. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Antonio Graziano (CDC, 2013)

Distributed multitarget tracking with Range-Doppler sensors. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Antonio Graziano (EUSIPCO, 2013)

A new approach for Doppler-only target tracking. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Antonio Graziano (FUSION, 2013)

Consensus CPHD Filter for Distributed Multitarget Tracking. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Antonio Graziano (IEEE J. Sel. Top. Signal Process., 2013)

Distributed peer-to-peer multitarget tracking with association-based track fusion. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Nicola Forti; Alfonso Farina; Antonio Graziano (FUSION, 2014)

Stochastic filtering of a random Fibonacci sequence: Theory and applications. - Alfonso Farina; Claudio Fantacci; Marco Frasca 002 (Signal Process., 2014)

Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci (IEEE Signal Process. Lett., 2014)

Average Kullback-Leibler divergence for random finite sets. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Ba-Ngu Vo (FUSION, 2015)

Distributed multi-object tracking over sensor networks: a random finite set approach. - Claudio Fantacci (CoRR, 2015)

Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking. - Claudio Fantacci; Ba-Ngu Vo; Ba-Tuong Vo; Giorgio Battistelli; Luigi Chisci (CoRR, 2015)

Networked target tracking With Doppler sensors. - Giorgio Battistelli; Luigi Chisci; Claudio Fantacci; Alfonso Farina; Antonio Graziano (IEEE Trans. Aerosp. Electron. Syst., 2015)

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. - Francesco Papi; Ba-Ngu Vo; Ba-Tuong Vo; Claudio Fantacci; Michael Beard (IEEE Trans. Signal Process., 2015)

An overview of particle methods for random finite set models. - Branko Ristic 001; Michael Beard; Claudio Fantacci (Inf. Fusion, 2016)

Scalable Multisensor Multitarget Tracking Using the Marginalized δ-GLMB Density. - Claudio Fantacci; Francesco Papi (IEEE Signal Process. Lett., 2016)

Visual end-effector tracking using a 3D model-aided particle filter for humanoid robot platforms. - Claudio Fantacci; Ugo Pattacini; Vadim Tikhanoff; Lorenzo Natale (IROS, 2017)

Markerless Visual Servoing on Unknown Objects for Humanoid Robot Platforms. - Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Vadim Tikhanoff; Lorenzo Natale (ICRA, 2018)

Robust Fusion for Multisensor Multiobject Tracking. - Claudio Fantacci; Ba-Ngu Vo; Ba-Tuong Vo; Giorgio Battistelli; Luigi Chisci (IEEE Signal Process. Lett., 2018)

Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity. - Wansoo Kim 001; Marta Lorenzini; Pietro Balatti; Phuong D. H. Nguyen; Ugo Pattacini; Vadim Tikhanoff; Luka Peternel; Claudio Fantacci; Lorenzo Natale; Giorgio Metta; Arash Ajoudani (IEEE Robotics Autom. Mag., 2019)

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. - Alex X. Lee; Coline Manon Devin; Yuxiang Zhou; Thomas Lampe; Konstantinos Bousmalis; Jost Tobias Springenberg; Arunkumar Byravan; Abbas Abdolmaleki; Nimrod Gileadi; David Khosid; Claudio Fantacci; José Enrique Chen; et al. (CoRL, 2021)

In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects. - Prajval Kumar Murali; Ines Sorrentino; Angelo Rendiniello; Claudio Fantacci; Enrico Villagrossi; Andrea Polo; Alessandro Ardesi; Marco Maggiali; Lorenzo Natale; Daniele Pucci; Silvio Traversaro (ICRA, 2021)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking. - Nicola A. Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Frontiers Robotics AI, 2021)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2021)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2021)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2021)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2021)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2022)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2022)

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code. - Nicola Agostino Piga; Fabrizio Bottarel; Claudio Fantacci; Giulia Vezzani; Ugo Pattacini; Lorenzo Natale (Zenodo, 2022)

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. - Mohit Sharma 001; Claudio Fantacci; Yuxiang Zhou; Skanda Koppula; Nicolas Heess; Jon Scholz; Yusuf Aytar (ICLR, 2023)

π2vec: Policy Representations with Successor Features. - Gianluca Scarpellini; Ksenia Konyushkova; Claudio Fantacci; Tom Le Paine; Yutian Chen 001; Misha Denil (CoRR, 2023)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. - Giulia Vezzani; Dhruva Tirumala; Markus Wulfmeier; Dushyant Rao; Abbas Abdolmaleki; Ben Moran; Tuomas Haarnoja; Jan Humplik; Roland Hafner; Michael Neunert; Claudio Fantacci; Tim Hertweck; et al. (Trans. Mach. Learn. Res., 2023)

π2vec: Policy Representation with Successor Features. - Gianluca Scarpellini; Ksenia Konyushkova; Claudio Fantacci; Thomas Paine; Yutian Chen 001; Misha Denil (ICLR, 2024)

GATS: Gather-Attend-Scatter. - Konrad Zolna; Serkan Cabi; Yutian Chen 001; Eric Lau; Claudio Fantacci; Jurgis Pasukonis; Jost Tobias Springenberg; Sergio Gomez Colmenarejo (CoRR, 2024)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)