Distance-Based Multivariate Anomaly Detection in Wire Arc Additive Manufacturing. - Raven Reisch; Tobias Hauser; Benjamin Lutz; Matteo Pantano; Tobias Kamps; Alois C. Knoll (ICMLA, 2020)

Magnetometer Aided GPS-free Localization of an Autonomous Vineyard Drone. - Solomon Pizzocaro; Matteo Corno; Matteo Pantano; Sergio M. Savaresi (ECC, 2021)

Design of a Collaborative Modular End Effector Considering Human Values and Safety Requirements for Industrial Use Cases. - Matteo Pantano; Adrian Blumberg; Daniel Regulin; Tobias Hauser; José F. Saenz; Dongheui Lee (HFR, 2021)

In-situ identification of material batches using machine learning for machining operations. - Benjamin Lutz; Dominik Kißkalt; Andreas Mayr; Daniel Regulin; Matteo Pantano; Jörg Franke (J. Intell. Manuf., 2021)

Capability-based Frameworks for Industrial Robot Skills: a Survey. - Matteo Pantano; Thomas Eiband; Dongheui Lee (CASE, 2022)

Grounding of the Functional Object-Oriented Network in Industrial Tasks. - Rafik Ayari; Matteo Pantano; David Paulius (CoRR, 2022)

Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human-robot collaboration scenario. - Matteo Pantano; Qiaoyue Yang; Adrian Blumberg; Raven Reisch; Tobias Hauser; Benjamin Lutz; Daniel Regulin; Tobias Kamps; Konstantinos Traganos; Dongheui Lee (Frontiers Robotics AI, 2022)

Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Efficiency in a Human-Robot Collaboration Task. - Matteo Pantano; Arianna Curioni; Daniel Regulin; Tobias Kamps; Dongheui Lee (Humanoids, 2023)

Simplifying Robot Grasping in Manufacturing with a Teaching Approach based on a Novel User Grasp Metric. - Matteo Pantano; Vladislav Klass; Qiaoyue Yang; Akhil Sathuluri; Daniel Regulin; Lucas Janisch; Markus Zimmermann; Dongheui Lee (ISM, 2023)

A Weakly Supervised Semi-Automatic Image Labeling Approach for Deformable Linear Objects. - Alessio Caporali; Matteo Pantano; Lucas Janisch; Daniel Regulin; Gianluca Palli; Dongheui Lee (IEEE Robotics Autom. Lett., 2023)

Augmented Reality for Supporting Workers in Human-Robot Collaboration. - Ana Moya; Leire Bastida; Pablo Aguirrezabal; Matteo Pantano; Patricia Abril-Jiménez (Multimodal Technol. Interact., 2023)

Exploiting Foundation Models for Efficient Labeling of Deformable Linear Objects. - Alessio Caporali; Kevin Galassi; Matteo Pantano; Gianluca Palli (ERF (1), 2024)

Deformable Objects Perception is Just a Few Clicks Away - Dense Annotations from Sparse Inputs. - Alessio Caporali; Kevin Galassi; Matteo Pantano; Gianluca Palli (IROS, 2024)