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K.M. Ibrahim Khalilullah, Shunsuke Ota, Toshiyuki Yasuda and Mitsuru Jindai
The purpose of this study is to develop a cost-effective autonomous wheelchair robot navigation method that assists the aging population.
Abstract
Purpose
The purpose of this study is to develop a cost-effective autonomous wheelchair robot navigation method that assists the aging population.
Design/methodology/approach
Navigation in outdoor environments is still a challenging task for an autonomous mobile robot because of the highly unstructured and different characteristics of outdoor environments. This study examines a complete vision guided real-time approach for robot navigation in urban roads based on drivable road area detection by using deep learning. During navigation, the camera takes a snapshot of the road, and the captured image is then converted into an illuminant invariant image. Subsequently, a deep belief neural network considers this image as an input. It extracts additional discriminative abstract features by using general purpose learning procedure for detection. During obstacle avoidance, the robot measures the distance from the obstacle position by using estimated parameters of the calibrated camera, and it performs navigation by avoiding obstacles.
Findings
The developed method is implemented on a wheelchair robot, and it is verified by navigating the wheelchair robot on different types of urban curve roads. Navigation in real environments indicates that the wheelchair robot can move safely from one place to another. The navigation performance of the developed method and a comparison with laser range finder (LRF)-based methods were demonstrated through experiments.
Originality/value
This study develops a cost-effective navigation method by using a single camera. Additionally, it utilizes the advantages of deep learning techniques for robust classification of the drivable road area. It performs better in terms of navigation when compared to LRF-based methods in LRF-denied environments.
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Adel Attia, Lobna Khorshed, Samir Morsi and Elsayed Ashour
The purpose of this study was to investigate the polyacrylic polymer/Al2O3 as a new nanocomposite coating to protect brass and Al-bronze in 3.5% NaCl and the role of alumina…
Abstract
Purpose
The purpose of this study was to investigate the polyacrylic polymer/Al2O3 as a new nanocomposite coating to protect brass and Al-bronze in 3.5% NaCl and the role of alumina formulation on their protection efficiency
Design/methodology/approach
The corrosion efficiency of the nanocomposite coating (NCC) was evaluated by open circuit potential and electrochemical impedance spectroscopy (EIS).
Findings
The protection efficiency was more in the case of Al-bronze even for the same formulation of alumina NCC indicated the Cu substrate contribution. The Cu oxides in alloys and Al2O3 from the NCC and Al-bronze were responsible for this protection.
Originality/value
All the techniques supported each other, the presence of alumina was responsible for the corrosion protection efficiency.