Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jianbang Liu"'
Publikováno v:
IEEE Access, Vol 12, Pp 105999-106012 (2024)
In the rapidly developing field of Human-Robot Interaction (HRI), simulating human emotional states poses significant challenges due to the inherent complexity and unpredictability of human emotions. Addressing the limitations in artificial emotion s
Externí odkaz:
https://doaj.org/article/343d588e735f4a31a4224ac1b0a70781
Publikováno v:
Biomimetic Intelligence and Robotics, Vol 2, Iss 3, Pp 100047- (2022)
Nonprehensile multiobject rearrangement is the robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping. It must consider how each object reaches the target and the order in which obj
Externí odkaz:
https://doaj.org/article/4f8c9d5064614e6e9d7c6c2771718cdf
Autor:
Yongbing Pan, Jianhui Du, Jia Liu, Hai Wu, Fang Gui, Nan Zhang, Xiaojie Deng, Gang Song, Yufeng Li, Jia Lu, Xiaoli Wu, ShanShan Zhan, Zhaofei Jing, Jiong Wang, Yimin Yang, Jianbang Liu, Ying Chen, Qin Chen, Huanyu Zhang, Hengrui Hu, Kai Duan, Manli Wang, Qisheng Wang, Xiaoming Yang
Publikováno v:
Cell Discovery, Vol 7, Iss 1, Pp 1-19 (2021)
Abstract As the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to threaten public health worldwide, the development of effective interventions is urgently needed. Neutralizing antibodies (nAbs) have great potential for the pre
Externí odkaz:
https://doaj.org/article/5cf8e25d2051418ebf65dd6c9c5d9937
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:662-671
Path planning plays an important role in autonomous robot systems. Effective understanding of the surrounding environment and efficient generation of an optimal collision-free path are both critical parts for solving path planning problems. Although
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d4f70c251d2a647a54861d1baf88a7e
https://doi.org/10.1109/tcds.2021.3063273
https://doi.org/10.1109/tcds.2021.3063273
Publikováno v:
IEEE Transactions on Artificial Intelligence. 3:451-460
This paper presents a novel heuristic method named Neural-Networks-Driven prediction (NEED) for robot path plan-ning problems. Different from classical heuristic methods, NEED is not designed for some specific environments, which can be applied to va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd0660ba55ab93abaab90e17f8e6d06f
https://doi.org/10.1109/tai.2021.3119890
https://doi.org/10.1109/tai.2021.3119890
Publikováno v:
Chemical Engineering Research and Design. 181:74-86
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbb6b41550ca6b49d844148383a55815
https://doi.org/10.1016/j.cherd.2022.02.027
https://doi.org/10.1016/j.cherd.2022.02.027
Publikováno v:
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95439a66646240ab605d231f3219cc09
https://doi.org/10.1109/iicaiet55139.2022.9936844
https://doi.org/10.1109/iicaiet55139.2022.9936844
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 3:372-383
Registration that aligns different views of one interested organ together is an essential technique and outstanding problem in medical robotics and image-guided surgery (IGS). This work introduces a novel rigid point set registration (PSR) approach t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee9f0ddc232e16a22a605d204d49e9d
https://doi.org/10.1109/tmrb.2021.3075784
https://doi.org/10.1109/tmrb.2021.3075784
Publikováno v:
The Canadian Journal of Chemical Engineering. 99:2229-2240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7178898af367341bd0749662901bf09a
https://doi.org/10.1002/cjce.23946
https://doi.org/10.1002/cjce.23946
Publikováno v:
ISA Transactions. 101:256-268
The priority ascent strategy of feasibility judgment and soft constraint adjustment has been playing a significant role in two-layer model predictive control for decades of years. Nevertheless, our latest researches indicate the present priority asce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1c0b43a371886e1e75106c525644d7a
https://doi.org/10.1016/j.isatra.2020.02.008
https://doi.org/10.1016/j.isatra.2020.02.008