Indoor Navigation Framework for Mapping and Localization of Multiple Robotic Wheelchairs

Lokuge, Yasith; Madumal, Prashan; Kumara, Tharindu; Ranasinghe, Naveen

doi:10.1109/isms.2014.39

Cited by 4 publications

(2 citation statements)

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“…Maps are the basis for robotic wheelchairs’ self-positioning and path planning. For an unfamiliar environment, wheelchairs are required to automatically and efficiently establish an environmental map (Lokuge et al , 2014).…”

Section: Structure Of the Robotic Wheelchairmentioning

confidence: 99%

Research on the shared control technology for robotic wheelchairs based on topological map

Wang

Liu

Zhang

et al. 2019

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Purpose A robotic wheelchair system was designed to assist disabled people with disabilities to walk. Design/methodology/approach An anticipated sharing control strategy based on topological map is proposed in this paper, which is used to assist robotic wheelchairs to realize interactive navigation. Then, a robotic wheelchair navigation control system based on the brain-computer interface and topological map was designed and implemented. Findings In the field of robotic wheelchairs, the problems of poor use, narrow application range and low humanization are still not improved. Originality/value In the system, the topological map construction is not restricted by the environment structure, which helps to expand the scope of application; the shared control system can predict the users’ intention and replace the users’ decision to realize human-machine interactive navigation, which has higher security, robustness and comfort.

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Section: Structure Of the Robotic Wheelchairmentioning

confidence: 99%

Research on the shared control technology for robotic wheelchairs based on topological map

Wang

Liu

Zhang

et al. 2019

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“…al., 1998)   (CHEEIN et.al 2011)    (MULLONI et. al., 2012)   Visual Deficiency (LOKUGE et al, 2014)  (RODRIGUEZ et. al.,2015)   (MAVER, et.…”

Section:  mentioning

confidence: 99%

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Supplemental Information 1: Trial Checklist Portuguese

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A Virtual Environment-Based Training System for a Blind Wheelchair User Through Use of Three-Dimensional Audio Supported by Electroencephalography

Souza

Cardoso

Lamounier

2018

Telemedicine and e-Health

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People with disabilities encounter many difficulties, especially when a diagnosis of more than one dysfunction is made, as is the case for visually impaired wheelchair users. In fact, this scenario generates a degree of incapacity in terms of the performance of basic activities on the part of the wheelchair user. The treatment of disabled patients is performed in an individualized manner according to their particular clinical aspects. People with visual and motor disabilities are restricted in independent navigation. In this navigation scenario, there is a requirement for interaction that justifies the use of virtual reality (VR). In addition, locomotion needs to be under natural control to be successfully incorporated. Based on such a condition, electroencephalography (EEG) has shown great advances in the area of health by employing spontaneous brain signals. This research demonstrates, through an experiment, the use of a wheelchair adapted to have the support of VR and EEG for training of locomotion and individualized interaction of wheelchair users with visual impairment. The objective was to provide efficient interactions, thus allowing the social inclusion of patients who are considered otherwise incapacitated. This project was based on the following criteria: natural control, feedback, stimuli, and safety. A multilayer computer rehabilitation system was developed that incorporated natural interaction supported by EEG, which activated the movements in the virtual environment and real wheelchair through adequately performed experiments. This research consisted of elaborating a suitable approach for blind wheelchair user patients. The results demonstrated that the use of VR with EEG signals has the potential for improving the quality of life and independence of blind wheelchair users.

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Indoor Navigation Framework for Mapping and Localization of Multiple Robotic Wheelchairs

Cited by 4 publications

References 1 publication

Research on the shared control technology for robotic wheelchairs based on topological map

Research on the shared control technology for robotic wheelchairs based on topological map

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A Virtual Environment-Based Training System for a Blind Wheelchair User Through Use of Three-Dimensional Audio Supported by Electroencephalography

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