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pro vyhledávání: '"Mahsa Parsapour"'
Autor:
Mahsa Parsapour, Hamid D. Taghirad
Publikováno v:
IET Computer Vision, Vol 9, Iss 3, Pp 309-320 (2015)
In this study, a new approach to design a controller for a visual servoing (VS) system is proposed. Kernel‐measurement is used to track the motion of a featureless object which is defined as sum of weighted‐image value through smooth kernel funct
Externí odkaz:
https://doaj.org/article/53692613a29c429abc054bbd41a7f830
Publikováno v:
Annual Reviews in Control. 51:111-129
Researchers in biomechanics, neuroscience, human–machine interaction and other fields are interested in inferring human intentions and objectives from observed actions. The problem of inferring objectives from observations has received extensive th
Autor:
Dana Kulic, Mahsa Parsapour
Publikováno v:
ACC
This paper presents an optimisation approach to solve the inverse optimal control problem when the controller is in the feedforward-feedback form. The goal of inverse optimal control is to recover the cost function from the observed trajectory. We co
Publikováno v:
Mechanism and Machine Theory. 171:104719
Autor:
Hamid D. Taghirad, Mahsa Parsapour
Publikováno v:
IET Computer Vision. 9:309-320
In this study, a new approach to design a controller for a visual servoing (VS) system is proposed. Kernel-measurement is used to track the motion of a featureless object which is defined as sum of weighted-image value through smooth kernel functions
Autor:
Mahsa Parsapour, Hamid D. Taghirad
Publikováno v:
2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM).
We introduce a robust controller for kernel-based visual servoing systems. In such systems, visual features are sum of weighted-image intensities via smooth kernel functions. This information along with its derivative are input to the controller in w
Publikováno v:
IROS
We discuss challenges a sprawling posture legged robot faces when moving in a complex environment. These kind of robots can be used for search and rescue applications when proper sensors are used and placed correctly. Finding an adequate position for
Publikováno v:
2013 First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM).
This paper presents a nonlinear controller for visual servoing system. Pose estimation is one of the fundamental issues in position-based visual servoing (PBVS) approach. A few researches have focused on controller synthesis under modeling uncertaint
Autor:
Mahsa Parsapour, Hamid Khaloozadeh
Publikováno v:
The 2nd International Conference on Control, Instrumentation and Automation.