Zobrazeno 1 - 10
of 30 519
pro vyhledávání: '"VARIABLE STIFFNESS"'
Autor:
Ji, Zhenrui1,2 (AUTHOR), Liu, Gang1,2 (AUTHOR), Xu, Wenjun1,2 (AUTHOR) xuwenjun@whut.edu.cn, Yao, Bitao3 (AUTHOR), Liu, Xuedong1,2 (AUTHOR), Zhou, Zude1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Oct2024, Vol. 62 Issue 19, p7073-7095. 23p.
Autor:
Yang, Tao1 (AUTHOR) 20b908071@stu.hit.edu.cn, Yang, Chifu1 (AUTHOR) cfyang@hit.edu.cn, Jiang, Feng2 (AUTHOR) fjiang@hit.edu.cn, Tian, Bowen3 (AUTHOR) callytian1128@alumni.hust.edu.cn
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6693. 21p.
Publikováno v:
Science Technology & Engineering. 2024, Vol. 24 Issue 28, p12220-12226. 7p.
Dynamic manipulation of flexible objects such as fabric, which is difficult to modelize, is one of the major challenges in robotics. With the development of deep learning, we are beginning to see results in simulations and in some actual robots, but
Externí odkaz:
http://arxiv.org/abs/2409.15635
In recent years, the development of robots capable of operating in both aerial and aquatic environments has gained significant attention. This study presents the design and fabrication of a novel aerial-aquatic locomotion robot (AALR). Inspired by th
Externí odkaz:
http://arxiv.org/abs/2409.09572
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 6, pp. 899-907.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-12-2023-0317
Tensegrity robots excel in tasks requiring extreme levels of deformability and robustness. However, there are challenges in state estimation and payload versatility due to their high number of degrees of freedom and unconventional shape. This paper i
Externí odkaz:
http://arxiv.org/abs/2409.05751
A Multimodal Soft Gripper with Variable Stiffness and Variable Gripping Range Based on MASH Actuator
Soft pneumatic actuators with integrated strain limiting layers have emerged as predominant components in the field of soft gripper technology for several decades. However, owing to their intrinsic strain-limiting layer design, these soft grippers po
Externí odkaz:
http://arxiv.org/abs/2408.05507
Autor:
Qian, Can1 (AUTHOR) 2311090171@nbu.edu.cn, Yang, Kaisheng1,2 (AUTHOR) 2311090176@nbu.edu.cn, Ruan, Yangfei1 (AUTHOR) 2311090118@nbu.edu.cn, Hu, Junhao1 (AUTHOR) 226002945@nbu.edu.cn, Shao, Zixuan1 (AUTHOR), Wang, Chongchong3 (AUTHOR) wangchongchong@aubo-robotics.cn, Xie, Chuanqi4 (AUTHOR) cqxie@zaas.ac.cn
Publikováno v:
Symmetry (20738994). Jul2024, Vol. 16 Issue 7, p829. 14p.
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 6, pp. 5631-5638, June 2024
Reinforcement learning (RL) has emerged as a promising paradigm in complex and continuous robotic tasks, however, safe exploration has been one of the main challenges, especially in contact-rich manipulation tasks in unstructured environments. Focusi
Externí odkaz:
http://arxiv.org/abs/2406.13744