Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Guofei Xiang"'
Publikováno v:
Sensors, Vol 23, Iss 22, p 9238 (2023)
To overcome the difficulty in tracking the trajectory of an inspection robot inside a transformer, this paper proposes a distributed model predictive control method. First, the kinematics and dynamics models of a robot in transformer oil are establis
Externí odkaz:
https://doaj.org/article/290dc3f60030455c8aed33d151a2ebe4
Publikováno v:
IEEE Access, Vol 10, Pp 91545-91556 (2022)
A soft, or continuum, robot has great potential in many practical fields with confined space, such as manufacturing system, electrical industry and other, due to its flexibility and benign bending attribute. However, its innate nonlinear dynamics and
Externí odkaz:
https://doaj.org/article/e7de14c6988e4e25a5aae592f529733d
Publikováno v:
Sensors, Vol 23, Iss 3, p 1125 (2023)
Multi-camera-based simultaneous localization and mapping (SLAM) has been widely applied in various mobile robots under uncertain or unknown environments to accomplish tasks autonomously. However, the conventional purely data-driven feature extraction
Externí odkaz:
https://doaj.org/article/75a97cc1a732486e9ecdbd2a809d4fb6
Publikováno v:
Sensors, Vol 23, Iss 2, p 762 (2023)
Deep Reinforcement Learning (DRL) algorithms have been widely studied for sequential decision-making problems, and substantial progress has been achieved, especially in autonomous robotic skill learning. However, it is always difficult to deploy DRL
Externí odkaz:
https://doaj.org/article/aa0e3356f4574a6c82ece32014285bdc
Publikováno v:
IEEE Transactions on Fuzzy Systems. 31:226-240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c96047a013a3bd3704a271ac4aad059
https://doi.org/10.1109/tfuzz.2022.3185453
https://doi.org/10.1109/tfuzz.2022.3185453
Publikováno v:
Processes; Volume 10; Issue 10; Pages: 1964
Four-mecanum-wheeled omnidirectional mobile robots (FMOMR) are widely used in many practical scenarios because of their high mobility and flexibility. However, the performance of trajectory tracking would be degenerated largely due to various reasons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a081bcf2126e3652adb3a38d73add78d
Publikováno v:
Processes; Volume 11; Issue 1; Pages: 254
To solve the trajectory planning problem of the flexible manipulator under various constraints such as end-camera attitude, drive space, and obstacles during video inspection along a continuous path in narrow three-dimensional space, this paper propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::215ef3eb698faef4aa3386a03f35ed6d
https://doi.org/10.3390/pr11010254
https://doi.org/10.3390/pr11010254
Publikováno v:
2021 40th Chinese Control Conference (CCC).
Mecanum-wheel cambered mobile robot (MWCMR) working in the Gas Insulated Switchgear (GIS) cavity is truly a complex system with highly non-linear. In order to control MWCMR for better trajectory tracking, a discrete intelligent trajectory tracking al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fec933fed3fa07b934decf4a9953867b
https://doi.org/10.23919/ccc52363.2021.9549243
https://doi.org/10.23919/ccc52363.2021.9549243
Autor:
Jianbo Su, Guofei Xiang
Publikováno v:
International Journal of Social Robotics. 12:345-354
Endowing robot with interactive natural motion planning is of great importance, since user has to get more and more involved for better realization with versatile tasks under increasingly complicated environments. In this paper, studies on interactiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fec3fafe14c02e46a2d5a260b85bdfa2
https://doi.org/10.1007/s12369-019-00552-9
https://doi.org/10.1007/s12369-019-00552-9
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a10d3ebf08c91ac045becee9ced6d6
https://doi.org/10.1109/ccdc52312.2021.9602211
https://doi.org/10.1109/ccdc52312.2021.9602211