Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kamal Mohammed Othman"'
Publikováno v:
Advances in Mathematical Physics, Vol 2014 (2014)
We present a fractional order PI controller (FOPI) with SLAM method, and the proposed method is used in the simulation of navigation of NAO humanoid robot from Aldebaran. We can discretize the transfer function by the Al-Alaoui generating function an
Externí odkaz:
https://doaj.org/article/2f57261924a04ecea63d414b23bcb804
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
We present a SLAM with closed-loop controller method for navigation of NAO humanoid robot from Aldebaran. The method is based on the integration of laser and vision system. The camera is used to recognize the landmarks whereas the laser provides the
Externí odkaz:
https://doaj.org/article/f24254bd7a0e42d9bf15e483aaed54fc
Autor:
Ahmad B. Rad, Kamal Mohammed Othman
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 17
Sensors, Vol 20, Iss 4815, p 4815 (2020)
Sensors
Volume 20
Issue 17
Sensors, Vol 20, Iss 4815, p 4815 (2020)
In this paper, we present a navigation strategy exclusively designed for social robots with limited sensors for applications in homes. The overall system integrates a reactive design based on subsumption architecture and a knowledge system with learn
Autor:
Kamal Mohammed Othman, Ahmad B. Rad
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 470 (2019)
Applied Sciences
Volume 9
Issue 3
Applied Sciences
Volume 9
Issue 3
The ability to classify rooms in a home is one of many attributes that are desired for social robots. In this paper, we address the problem of indoor room classification via several convolutional neural network (CNN) architectures, i.e., VGG16, VGG19
Autor:
Ahmad B. Rad, Kamal Mohammed Othman
Publikováno v:
Sensors
Volume 20
Issue 9
Sensors, Vol 20, Iss 2477, p 2477 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 9
Sensors, Vol 20, Iss 2477, p 2477 (2020)
Sensors (Basel, Switzerland)
In this paper, we propose a novel algorithm to detect a door and its orientation in indoor settings from the view of a social robot equipped with only a monocular camera. The challenge is to achieve this goal with only a 2D image from a monocular cam
Publikováno v:
2018 37th Chinese Control Conference (CCC).
This paper proposes a fuzzy Q-learning (FQL) algorithm to solve the problem of the robot obstacle avoidance in unknown environment. FastSLAM algorithm is used to localize the position of the robot. Traditional Q-learning algorithm, optimized Q-learni
Publikováno v:
Abstr. Appl. Anal.
Abstract and Applied Analysis, Vol 2014 (2014)
Abstract and Applied Analysis, Vol 2014 (2014)
We present a SLAM with closed-loop controller method for navigation of NAO humanoid robot from Aldebaran. The method is based on the integration of laser and vision system. The camera is used to recognize the landmarks whereas the laser provides the
Publikováno v:
Advances in Mathematical Physics, Vol 2014 (2014)
We present a fractional order PI controller (FOPI) with SLAM method, and the proposed method is used in the simulation of navigation of NAO humanoid robot from Aldebaran. We can discretize the transfer function by the Al-Alaoui generating function an