Claudio Fantacci

Orcid: 0000-0002-9980-3617

According to our database¹, Claudio Fantacci authored at least 36 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

GATS: Gather-Attend-Scatter.

[BibT_eX]

[DOI]

Jost Tobias Springenberg

Sergio Gomez Colmenarejo

CoRR, 2024

π2vec: Policy Representation with Successor Features.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

π2vec: Policy Representations with Successor Features.

[BibT_eX]

[DOI]

CoRR, 2023

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, July, 2022

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, January, 2022

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, January, 2022

2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, October, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, September, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, September, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

[BibT_eX]

[DOI]

Dataset, September, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2021

In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2019

2018

Robust Fusion for Multisensor Multiobject Tracking.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Markerless Visual Servoing on Unknown Objects for Humanoid Robot Platforms.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Visual end-effector tracking using a 3D model-aided particle filter for humanoid robot platforms.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Scalable Multisensor Multitarget Tracking Using the Marginalized δ-GLMB Density.

[BibT_eX]

[DOI]

Claudio Fantacci

Francesco Papi

IEEE Signal Process. Lett., 2016

An overview of particle methods for random finite set models.

[BibT_eX]

[DOI]

Branko Ristic

Michael Beard

Claudio Fantacci

Inf. Fusion, 2016

2015

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Networked target tracking With Doppler sensors.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2015

Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking.

[BibT_eX]

[DOI]

CoRR, 2015

Distributed multi-object tracking over sensor networks: a random finite set approach.

[BibT_eX]

[DOI]

Claudio Fantacci

CoRR, 2015

Average Kullback-Leibler divergence for random finite sets.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering.

[BibT_eX]

[DOI]

Giorgio Battistelli

Luigi Chisci

Claudio Fantacci

IEEE Signal Process. Lett., 2014

Stochastic filtering of a random Fibonacci sequence: Theory and applications.

[BibT_eX]

[DOI]

Alfonso Farina

Claudio Fantacci

Marco Frasca

Signal Process., 2014

Distributed peer-to-peer multitarget tracking with association-based track fusion.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Consensus CPHD Filter for Distributed Multitarget Tracking.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2013

A new approach for Doppler-only target tracking.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Information Fusion, 2013

Distributed multitarget tracking with Range-Doppler sensors.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Distributed tracking with Doppler sensors.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Multiple-model algorithms for distributed tracking of a maneuvering target.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information Fusion, 2012

Claudio Fantacci

Timeline

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