Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Han-Lin Sun"'
Publikováno v:
Machines, Vol 12, Iss 8, p 526 (2024)
This paper proposes a kinetostatic approach for analyzing the joint torques of a redundant snake robot. The method is suitable for weightless space environments. With the high degree of freedom and flexible cable actuation, the redundant snake robot
Externí odkaz:
https://doaj.org/article/619e33b343004505aba5b85ea5632910
Autor:
Jing-Shan Zhao, Han-Lin Sun
Publikováno v:
Advances in Mechanical Engineering, Vol 15 (2023)
Kinetostatics of a robot is an essential component of robotic analysis that includes actuation distribution and torque control. The extant methods mainly include the static transfer formulae and force Jacobian matrix algorithms based on the Denavit-H
Externí odkaz:
https://doaj.org/article/26f2795341bc450b9abef65cdb497127
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9732 (2023)
This paper presents a screw dynamics method for multi-rigid-body systems. It establishes the relationship between velocity screw (twist) and force screw (wrench) in the theorem of momentum screw. Then, the structure of a 2UPS + 2UPU parallel manipula
Externí odkaz:
https://doaj.org/article/4a49f17e47324dc29c34db719bc21b6b
Publikováno v:
Journal of Mechanisms and Robotics. 15
This paper investigates the kinematics and statics of a 3-UPU robot in screw coordinates. According to the definition of a twist, both the angular velocity of a rigid body and the linear velocity of a point on it are expressed in screw components. Th
This paper investigates Newton-Euler dynamics in Plücker coordinates for a parallel robot. In classical mechanics, the Newton–Euler equations describe the dynamics of a rigid body by combining translations and rotations. In accordance to the defin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60bf26736405a5466f40e0fa4bc923c
https://doi.org/10.21203/rs.3.rs-1913224/v1
https://doi.org/10.21203/rs.3.rs-1913224/v1
Autor:
Han Lin Sun
Publikováno v:
Advanced Materials Research. :1701-1705
MapReduce is a widely adopted parallel programming model. The standard MapReduce model is designed for data-intensive processing. However, some machine learning algorithms are computation-intensive and time-consuming tasks which process the same data