Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yingjun Tian"'
Autor:
Kui Wang, Yingjun Tian, Baoying Li, Ling Wang, Wei Gao, Xiaofei Jia, Ruiming Wang, Yanping Zhu, Jianbin Chen
Publikováno v:
Green Synthesis and Catalysis, Vol 5, Iss 2, Pp 136-139 (2024)
We demonstrated herein an electrochemical dearomatizative alkylation of Katritzky salts, wherein Katritzky salts were harnessed as both radical acceptors and donors. A wide range of privileged dihydropyridine scaffolds was constructed with good to ex
Externí odkaz:
https://doaj.org/article/69c706bd863c4ce7bee89439edbedf1b
Publikováno v:
Zhang, T, Chen, X, Fang, G, Tian, Y & Wang, C C L 2021, ' Singularity-Aware Motion Planning for Multi-Axis Additive Manufacturing ', IEEE Robotics and Automation Letters, vol. 6, no. 4, 9462416, pp. 6172-6179 . https://doi.org/10.1109/LRA.2021.3091109
Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include three parallel axes and two rotational axes. Singularity on rotational axe
Publikováno v:
Su, R, Tian, Y, Du, M & Wang, C C L 2022, ' Optimizing Out-of-Plane Stiffness for Soft Grippers ', IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10430-10437 . https://doi.org/10.1109/LRA.2022.3193487
In this letter, we presented a data-driven framework to optimize the out-of-plane stiffness for soft grippers to achieve mechanical properties as hard-to-twist and easy-to-bend. The effectiveness of this method is demonstrated in the design of a soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a5704d54242d28708c604f21454a728
https://doi.org/10.1109/LRA.2022.3193487
https://doi.org/10.1109/LRA.2022.3193487
Autor:
Kui Wang, Yingjun Tian, Baoying Li, Ling Wang, Wei Gao, Xiaofei Jia, Ruiming Wang, Yanping Zhu, Jianbin Chen
Publikováno v:
Green Synthesis and Catalysis.
Soft robots can safely interact with environments because of their mechanical compliance. Self-collision is also employed in the modern design of soft robots to enhance their performance during different tasks. However, developing an efficient and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54bf22937cd3c7cb8058122ea1bccd8c
http://arxiv.org/abs/2203.02054
http://arxiv.org/abs/2203.02054
Publikováno v:
Tian, Y, Fang, G, Petrulis, J S, Weightman, A & Wang, C C L 2022, ' Soft Robotic Mannequin : Design and Algorithm for Deformation Control ', IEEE/ASME Transactions on Mechatronics, pp. 1-10 . https://doi.org/10.1109/TMECH.2022.3175759
This article presents a novel soft robotic system for a deformable mannequin that can be employed to physically realize the 3-D geometry of different human bodies. The soft membrane on a mannequin is deformed by inflating several curved chambers usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::766ce4f10da8d1a5ae8b59c5e4635e9d
Autor:
Qiqi Qi, Yali Li, Hao Liu, Baoying Li, Hong Wang, Yi Lu, Wei Gao, Yingjun Tian, Bingpeng Guo, Xiaofei Jia, Jianbin Chen
Publikováno v:
Applied Catalysis B: Environmental. 319:121864
Publikováno v:
Scharff, R B N, Fang, G, Tian, Y, Wu, J, Geraedts, J M P & Wang, C C L 2021, ' Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots ', IEEE/ASME Transactions on Mechatronics . https://doi.org/10.1109/TMECH.2021.3078263
Real-time proprioception is a challenging problem for soft robots, which have almost infinite degrees-of-freedom in body deformation. When multiple actuators are used, it becomes more difficult as deformation can also occur on actuators caused by int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030978e37db61bf5fc838e3078c1cd75
https://doi.org/10.1109/TMECH.2021.3078263
https://doi.org/10.1109/TMECH.2021.3078263
Publikováno v:
Fang, G, Tian, Y, Geraedts, J M P & Wang, C C L 2022, ' Efficient Jacobian-Based Inverse Kinematics With Sim-to-Real Transfer of Soft Robots by Learning ', IEEE-ASME Transactions on Mechatronics, pp. 1-11 . https://doi.org/10.1109/TMECH.2022.3178303
This paper presents an efficient learning-based method to solve the inverse kinematic (IK) problem on soft robots with highly non-linear deformation. The major challenge of efficiently computing IK for such robots is due to the lack of analytical for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e02f5a512fab829d9afe0484a513baf
http://arxiv.org/abs/2012.13965
http://arxiv.org/abs/2012.13965