Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lisa Gutzeit"'
Autor:
Lisa Gutzeit, Frank Kirchner
Publikováno v:
IEEE Access, Vol 10, Pp 125723-125734 (2022)
During the last years, new approaches were proposed in which robotic behavior is generated by imitating human movement examples. This process can be sustainably simplified by an automatic detection of the movement sequences which should be imitated.
Externí odkaz:
https://doaj.org/article/30e8544b4c82481f990b61f06205009d
Autor:
Lisa Gutzeit, Alexander Fabisch, Marc Otto, Jan Hendrik Metzen, Jonas Hansen, Frank Kirchner, Elsa Andrea Kirchner
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
We describe the BesMan learning platform which allows learning robotic manipulation behavior. It is a stand-alone solution which can be combined with different robotic systems and applications. Behavior that is adaptive to task changes and different
Externí odkaz:
https://doaj.org/article/8e0a6d45bb934793adf231fdf5e1085e
Autor:
Frank Kirchner, Lisa Gutzeit
Publikováno v:
IEEE Access. 10:125723-125734
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6813bdabe5f5ab6aeba1d0c38233848f
https://doi.org/10.1109/access.2022.3225914
https://doi.org/10.1109/access.2022.3225914
Autor:
Lisa Gutzeit
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f266f884c6cfe6226c66ee105d5c35
https://doi.org/10.1109/icpr56361.2022.9955634
https://doi.org/10.1109/icpr56361.2022.9955634
In this work, we investigate the influence of labeling methods on the classification of human movements on data recorded using a marker-based motion capture system. The dataset is labeled using two different approaches, one based on video data of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e8207c08c77f9c98c2d3625fcb9d32
http://arxiv.org/abs/2202.02426
http://arxiv.org/abs/2202.02426
Publikováno v:
KI 2019: Advances in Artificial Intelligence-42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, Proceedings
KI 2019: Advances in Artificial Intelligence ISBN: 9783030301781
KI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-KI 2019: Advances in Artificial Intelligence
KI 2019: Advances in Artificial Intelligence ISBN: 9783030301781
KI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-KI 2019: Advances in Artificial Intelligence
Transferring human movements to robotic systems is of high interest to equip the systems with new behaviors without expert knowledge. Typically, skills are often only learned for a very specific setup and a certain robot. We propose a modular framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b001afc88dc40d0a56e993a96f59b976
Publikováno v:
Physiological Computing Systems ISBN: 9783030279493
PhyCS (Selected Papers)
PhyCS (Selected Papers)
In many different research areas it is important to understand human behavior, e.g., in robotic learning or human-computer interaction. To learn new robotic behavior from human demonstrations, human movements need to be recognized to select which seq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fea0ff07cf6659893aca1f7ebaa4fca
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85072819367
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85072819367
Autor:
Lisa Gutzeit, Elsa Andrea Kirchner
Publikováno v:
PhyCS
Understanding human behavior is an active research area which plays an important role in robotic learning and human-computer interaction. The identification and recognition of behaviors is important in learning from demonstration scenarios to determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5944087145987b0406229933f8a2d688
https://doi.org/10.5220/0005946500540063
https://doi.org/10.5220/0005946500540063