Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Lastrico, Linda"'
Autor:
Lastrico, Linda, Belcamino, Valerio, Carfì, Alessandro, Vignolo, Alessia, Sciutti, Alessandra, Mastrogiovanni, Fulvio, Rea, Francesco
Publikováno v:
The International Journal of Robotics Research. 2024;43(1):98-109.
We propose a dataset to study the influence of object-specific characteristics on human pick-and-place movements and compare the quality of the motion kinematics extracted by various sensors. This dataset is also suitable for promoting a broader disc
Externí odkaz:
http://arxiv.org/abs/2407.13425
Autor:
Belcamino, Valerio, Kilina, Mariya, Lastrico, Linda, Carfì, Alessandro, Mastrogiovanni, Fulvio
This paper presents a comprehensive framework to enhance Human-Robot Collaboration (HRC) in real-world scenarios. It introduces a formalism to model articulated tasks, requiring cooperation between two agents, through a smaller set of primitives. Our
Externí odkaz:
http://arxiv.org/abs/2406.04907
Autor:
Lastrico, Linda, Duarte, Nuno Ferreira, Carfì, Alessandro, Rea, Francesco, Sciutti, Alessandra, Mastrogiovanni, Fulvio, Santos-Victor, José
Publikováno v:
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Implicit communication plays such a crucial role during social exchanges that it must be considered for a good experience in human-robot interaction. This work addresses implicit communication associated with the detection of physical properties, tra
Externí odkaz:
http://arxiv.org/abs/2310.00465
Autor:
Lastrico, Linda, Duarte, Nuno Ferreira, Carfì, Alessandro, Rea, Francesco, Mastrogiovanni, Fulvio, Sciutti, Alessandra, Santos-Victor, José
As humans, we have a remarkable capacity for reading the characteristics of objects only by observing how another person carries them. Indeed, how we perform our actions naturally embeds information on the item features. Collaborative robots can achi
Externí odkaz:
http://arxiv.org/abs/2210.13290
Autor:
Cocchella, Francesca, Pusceddu, Giulia, Belgiovine, Giulia, Lastrico, Linda, Rea, Francesco, Sciutti, Alessandra
This study presents novel strategies to investigate the mutual influence of trust and group dynamics in children-robot interaction. We implemented a game-like experimental activity with the humanoid robot iCub and designed a questionnaire to assess h
Externí odkaz:
http://arxiv.org/abs/2209.01694
Autor:
Lastrico, Linda, Garello, Luca, Rea, Francesco, Noceti, Nicoletta, Mastrogiovanni, Fulvio, Sciutti, Alessandra, Carfi, Alessandro
Publikováno v:
2022 IEEE International Conference on Development and Learning (ICDL)
Humans have an extraordinary ability to communicate and read the properties of objects by simply watching them being carried by someone else. This level of communicative skills and interpretation, available to humans, is essential for collaborative r
Externí odkaz:
http://arxiv.org/abs/2208.02058
Autor:
Garello, Luca, Lastrico, Linda, Sciutti, Alessandra, Noceti, Nicoletta, Mastrogiovanni, Fulvio, Rea, Francesco
Object manipulation is a natural activity we perform every day. How humans handle objects can communicate not only the willfulness of the acting, or key aspects of the context where we operate, but also the properties of the objects involved, without
Externí odkaz:
http://arxiv.org/abs/2203.15640
Autor:
Lastrico, Linda, Carfì, Alessandro, Rea, Francesco, Sciutti, Alessandra, Mastrogiovanni, Fulvio
Publikováno v:
Lecture Notes in Computer Science, 13086 (2021) 61-72
When manipulating objects, humans finely adapt their motions to the characteristics of what they are handling. Thus, an attentive observer can foresee hidden properties of the manipulated object, such as its weight, temperature, and even whether it r
Externí odkaz:
http://arxiv.org/abs/2109.00460
Autor:
Garello, Luca, Lastrico, Linda, Rea, Francesco, Mastrogiovanni, Fulvio, Noceti, Nicoletta, Sciutti, Alessandra
Publikováno v:
2021 IEEE International Conference on Development and Learning (ICDL), 2021, pp. 1-7
When transporting an object, we unconsciously adapt our movement to its properties, for instance by slowing down when the item is fragile. The most relevant features of an object are immediately revealed to a human observer by the way the handling oc
Externí odkaz:
http://arxiv.org/abs/2106.04385
Autor:
Lastrico, Linda, Carfì, Alessandro, Vignolo, Alessia, Sciutti, Alessandra, Mastrogiovanni, Fulvio, Rea, Francesco
Publikováno v:
Human-Friendly Robotics, SPAR 18 (2020) 127-141
Humans are very effective at interpreting subtle properties of the partner's movement and use this skill to promote smooth interactions. Therefore, robotic platforms that support human partners in daily activities should acquire similar abilities. In
Externí odkaz:
http://arxiv.org/abs/2103.01555