Zobrazeno 1 - 10
of 186
pro vyhledávání: '"S. Ali A. Moosavian"'
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101660- (2024)
The augmentation of individuals' quality of life, particularly those with disabilities, can be achieved through state-of-the-art artificial intelligence solutions. Machine learning algorithms, known for their ability to acquiring knowledge and identi
Externí odkaz:
https://doaj.org/article/7062f1d36c214613a8ee2c329ea25a23
Publikováno v:
IEEE Sensors Letters. 6:1-4
Publikováno v:
Robotica. 40:4076-4089
In recent years, using autonomous underwater vehicles (AUVs) for submarine missions has increased substantially. One of the problems in controlling these nonlinear devices is the possibility of a fault in the system operators. Failure causes increase
Publikováno v:
Robotica. 40:2395-2408
A non-iterative analytical approach is investigated to plan the safe wire tension distribution along with the cables in the redundant cable-driven parallel robots. The proposed algorithm considers not only tracking the desired trajectory but also pro
Autor:
Arezoo Alipanah, S. Ali A. Moosavian
Publikováno v:
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM).
Autor:
Ehsan Damghani, S. Ali A. Moosavian
Publikováno v:
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM).
Autor:
S. Ali A. Moosavian, Omid Mahdizadeh, Sina Hallajian, Sara Ashrafi, Mohammad Jamali, Vahid Akbari
Publikováno v:
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM).
Publikováno v:
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM).
Autor:
Mahdi Nabipour, S. Ali A. Moosavian
Publikováno v:
Journal of Mechanical Science and Technology. 35:4685-4693
In this paper, a design optimization approach for assistive devices based on the simulation of the robot and human model is proposed. The proposed human model in the loop (HMIL) approach exploits an augmented human-robot model for interaction analysi
Autor:
Aida Parvaresh, S. Ali A. Moosavian
Publikováno v:
Robotica. 40:1098-1124
In this paper, forward/inverse dynamics of a continuum robotic arm is developed using a data-driven approach, which could tackle uncertainties and extreme nonlinearities to obtain reliable solutions. By establishing a direct mapping between the actua