Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Aryslan Malik"'
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Magnetorheological (MR) fluid is a smart material utilized for semi-active damping devices thanks to its ability to become viscoelastic solid under a magnetic field and provide variable damping. While most of these devices primarily utilize the fluid
Externí odkaz:
https://doaj.org/article/39387d53250447b4a4c231c463140329
Publikováno v:
Robotics, Vol 11, Iss 2, p 44 (2022)
The foundation and emphasis of robotic manipulator control is Inverse Kinematics (IK). Due to the complexity of derivation, difficulty of computation, and redundancy, traditional IK solutions pose numerous challenges to the operation of a variety of
Externí odkaz:
https://doaj.org/article/d8213e1d3313498caac5b4457ec63798
Publikováno v:
Robotics, Vol 10, Iss 4, p 127 (2021)
This work is aimed to demonstrate a multi-objective joint trajectory generation algorithm for a 7 degree of freedom (DoF) robotic manipulator using swarm intelligence (SI)—product of exponentials (PoE) combination. Given a priori knowledge of the e
Externí odkaz:
https://doaj.org/article/d38469a7c5474441993457a54c18a3d0
Autor:
Jarred Jordan, Daniel Posada, David Zuehlke, Alessia Nocerino, Pol Fontdegloria, Spencer John, Aryslan Malik, Riccardo Bevilacqua, Troy Henderson
Publikováno v:
2023 IEEE Aerospace Conference.
Autor:
Daniel Posada, Christopher W. Hays, Jarred Jordan, Daniel Lopez, Taylor Yow, Aryslan Malik, Troy Henderson
Publikováno v:
2023 IEEE Aerospace Conference.
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
Daniel Posada, Jarred A. Jordan, Aryslan Malik, Angelica Radulovic, Jerry J. Wang, Seth A. Rhodes, Charles Buhler, Troy Henderson
Publikováno v:
Sensors and Systems for Space Applications XV.
Publikováno v:
2021 IEEE Conference on Control Technology and Applications (CCTA).
Publikováno v:
AIAA Scitech 2021 Forum.
Publikováno v:
Robotics, Vol 10, Iss 127, p 127 (2021)
Robotics; Volume 10; Issue 4; Pages: 127
Robotics; Volume 10; Issue 4; Pages: 127
This work is aimed to demonstrate a multi-objective joint trajectory generation algorithm for a 7 degree of freedom (DoF) robotic manipulator using swarm intelligence (SI)—product of exponentials (PoE) combination. Given a priori knowledge of the e