Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zuyuan Zhu"'
Publikováno v:
Drones, Vol 8, Iss 8, p 412 (2024)
In recent years, with the continuous development of autonomous driving technology, 3D object detection has naturally become a key focus in the research of perception systems for autonomous driving. As the most crucial component of these systems, 3D o
Externí odkaz:
https://doaj.org/article/5e55f1563b3b48da8bfc055cdd3e6230
Publikováno v:
IEEE Access, Vol 8, Pp 72683-72693 (2020)
The patterns and evolution of man-made complex networks have been topics of interest in recent years. Herein, we define appropriate metrics to quantify the correlations between circuit performance and the complex network characteristics regarding the
Externí odkaz:
https://doaj.org/article/b31c7743d0ad412ab6316330a3476ad6
Publikováno v:
Frontiers in Neurorobotics, Vol 11 (2017)
Inspired by infant development theories, a robotic developmental model combined with game elements is proposed in this paper. This model does not require the definition of specific developmental goals for the robot, but the developmental goals are im
Externí odkaz:
https://doaj.org/article/2e93230f534d4795b91af0410b2ebe26
Autor:
Zuyuan Zhu, Huosheng Hu
Publikováno v:
Robotics, Vol 7, Iss 2, p 17 (2018)
Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to learn manipulation behaviors from observing the motion executed by human demonstrators. This paper reviews recent research
Externí odkaz:
https://doaj.org/article/cd6f3030f1af454cb45568762fd16263
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2e561fc5e7396fb78e545438c7158ea
https://doi.org/10.1109/iscas48785.2022.9937810
https://doi.org/10.1109/iscas48785.2022.9937810
Publikováno v:
Towards Autonomous Robotic Systems ISBN: 9783030891763
TAROS
TAROS
Autonomous agricultural robots increasingly have an important role in tasks such as transportation, crop monitoring, weed detection etc. These tasks require the robots to travel to different locations in the field. Reducing time for this travel can g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8368550d32e00c9360322d38d62081
https://doi.org/10.1007/978-3-030-89177-0_34
https://doi.org/10.1007/978-3-030-89177-0_34
Publikováno v:
CEEC
This paper presents a novel approach for a robot to conduct assembly tasks, namely robot learning from human demonstrations. The learning of robotic assembly task is divided into two phases: teaching and reproduction. During the teaching phase, a wri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bedece16344838385e9e9d738ca8f5e
https://doi.org/10.1109/ceec.2018.8674203
https://doi.org/10.1109/ceec.2018.8674203
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems
Robotic hand–eye coordination is recognized as an important skill to deal with complex real environments. Conventional robotic hand–eye coordination methods merely transfer stimulus signals from robotic visual space to hand actuator space. This p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35a817d771a0858a7d409613da01d5df
https://nrl.northumbria.ac.uk/id/eprint/28129/1/Zhu-THMS-Submit.pdf
https://nrl.northumbria.ac.uk/id/eprint/28129/1/Zhu-THMS-Submit.pdf
Publikováno v:
2016 12th World Congress on Intelligent Control and Automation (WCICA).
This paper focuses on applying human postures and face tracking technologies to design an autonomous patrol vehicle control system, which contains a wireless video surveillance ability. The entire system includes the following several parts: (1) Obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cc4e78acf9025b6890fdc5a845a0588
https://doi.org/10.1109/wcica.2016.7578290
https://doi.org/10.1109/wcica.2016.7578290
Autor:
Huosheng Hu, Zuyuan Zhu
Publikováno v:
Robotics, Vol 7, Iss 2, p 17 (2018)
Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to learn manipulation behaviors from observing the motion executed by human demonstrators. This paper reviews recent research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38c71585ca1c89d853ffb9de9bf91d6b
https://doi.org/10.3390/robotics7020017
https://doi.org/10.3390/robotics7020017