Synthetic Data Augmentation for Video Action Classification Using Unity

Autor: Nino Cauli, Diego Reforgiato Recupero

Publikováno v: IEEE Access, Vol 12, Pp 156172-156183 (2024)

In video analysis, collection and labeling of data can be time and resource-consuming. To solve the scarcity of data problems, synthetic data augmentation is a promising solution. In this paper, we present an approach to generate synthetic videos for

Externí odkaz: https://doaj.org/article/c7032b9ff10c41e59e37045d5f443bc8

Control strategies for cleaning robots in domestic applications: A comprehensive review

Autor: Jaeseok Kim, Anand Kumar Mishra, Raffaele Limosani, Marco Scafuro, Nino Cauli, Jose Santos-Victor, Barbara Mazzolai, Filippo Cavallo

Publikováno v: International Journal of Advanced Robotic Systems, Vol 16 (2019)

Service robots are built and developed for various applications to support humans as companion, caretaker, or domestic support. As the number of elderly people grows, service robots will be in increasing demand. Particularly, one of the main tasks pe

Externí odkaz: https://doaj.org/article/41e85f7c74a947538fb135974c73188a

STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems

Autor: Dimitrios Papamartzivanos, Klemen Kenda, Patrik Zajec, Georgios Sofianidis, Dunja Mladenic, Rubén Alonso, Thanassis Giannetsos, Dimosthenis Kyriazis, Entso Veliou, Blaž Fortuna, Spyros Theodoropoulos, John Soldatos, Jože M. Rožanec, Sofia Anna Menesidou, Nino Cauli, Inna Novalija, Diego Reforgiato Recupero

Publikováno v: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859091
APMS (4)
"""APMS-""""STARdom: an architecture for trusted and secure human-centered manufacturing systems."""" IFIP International Conference on Advances in Production Management Systems. Springer, Cham, 2021."""
IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology-Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e83f847a93c2032c9665def841101eb6
https://doi.org/10.1007/978-3-030-85910-7_21

Learning Deep Features for Robotic Inference from Physical Interactions

Autor: Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, Jose Santos-Victor

Publikováno v: IEEE Transactions on Cognitive and Developmental Systems. :1-1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ac8e2a2181bb0d9b4b18073be1ace64
https://doi.org/10.1109/tcds.2022.3152383

Head stabilization in a humanoid robot: models and implementations

Autor: Paolo Dario, Cecilia Laschi, Egidio Falotico, Kenji Hashimoto, Przemyslaw Kryczka, Atsuo Takanishi, Alain Berthoz, Nino Cauli

Publikováno v: Autonomous Robots. 41:349-365

Neuroscientific studies show that humans tend to stabilize their head orientation, while accomplishing a locomotor task. This is beneficial to image stabilization and in general to keep a reference frame for the body. In robotics, too, head stabiliza

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ce2381f36aa4a58eb71b06ce5761544
https://doi.org/10.1007/s10514-016-9583-z