Navigational assistance for disabled wheelchair-users

Goodwin, Mike; Sanders, David; Poland, G. A.; Stott, Ian

doi:10.1016/s1383-7621(96)00078-1

Cited by 29 publications

(39 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unstructured environments can make operation more difficult for vehicles [29]- [35]. A wheeled vehicle has been studied in this paper because that remains the most common type [36]- [42].…”

Section: Introductionmentioning

confidence: 99%

Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains

Sanders

Gegov

Tewkesbury

et al. 2018

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

A system is presented that shares control between a driver and sensors to maneuver a vehicle. The vehicle can be driven by a driver, or by the sensors, or they can share control between them. In some circumstances, sharing control can allow a human driver to drive more efficiently and safely. The gains in the controller are automatically set for the human driver and sensors by calculating a trust-factor for the vehicle driver. The sensors can assist a human driver in driving the vehicle to offset for any detected shortcomings; for example, the driver may not be able to see a vehicle ahead or the human driver may be tired. In emergencies, efficient interaction between the vehicle and a human driver can make all the differences. This research explores that collaboration and interfacing. The proposed methods are validated with initial testing.

show abstract

“…Unstructured environments can make operation more difficult for vehicles [29]- [35]. A wheeled vehicle has been studied in this paper because that remains the most common type [36]- [42].…”

Section: Introductionmentioning

confidence: 99%

Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains

Sanders

Gegov

Tewkesbury

et al. 2018

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

show abstract

“…Mobile-robots and advanced Automated Guided Vehicles (AGVs) need to navigate around obstructions or take different routes to avoid other AGVs 57,58 . AGVs have used various sensors to achieve local avoidance: light and laser 59 , ultrasonic [2][3][4]14,17,34 and infra-red 60,61 .…”

Section: Introductionmentioning

confidence: 99%

Simple expert systems to improve an ultrasonic sensor‐system for a tele‐operated mobile‐robot

et al. 2011

View full text Add to dashboard Cite

Time taken to complete a tele-operated task with a mobile-robot partly depends on how a human operator interacts with the mobile-robot. Current tele-operated systems tend to rely heavily on visual feedback and experienced operators and this paper investigates how to make their tasks easier using an expert system to interpret joystick and sensor data. Simple expert systems improve that interaction for a tele-operated mobile-robot using ultrasonic sensors. Systems identify potentially hazardous situations and recommend safe courses of action. Results are presented from a series of timed tasks completed by tele-operators using a joystick to control a mobile-robot via an umbilical cable and watching the robot while operating it or sitting at a computer and viewing the area ahead of the robot. Tele-operators completed tests both with and without sensors and using the recently published systems to compare results. The new systems described here consistently performed tasks more quickly than some recently published systems. The paper also suggests that the amount of sensor support should be varied depending on circumstances.

show abstract

“…Unstructured environments can make operation more difficult for mobile-robots [20][21][22][23][24][25][26]. Tele-operators control and directed their mobile robots from a place of safety [27].…”

mentioning

confidence: 99%

“…Tele-operators control and directed their mobile robots from a place of safety [27]. A wheeled robot is studied in this paper because that is still the most common type [22][23][24]28].…”

mentioning

confidence: 99%

Using confidence factors to share control between a mobile robot tele-operater and ultrasonic sensors

Sanders

Sanders²,

Gegov

et al. 2017

2017 Intelligent Systems Conference (IntelliSys)

View full text Add to dashboard Cite

A system is presented that shares control between ultrasonic sensors, a tele-operator and a mobile robot. The mobile robot can be directed by the tele-operator, or by ultrasonic sensors, or they can share control. The mobile robot system can change direction if there are obstacles ahead or if it is helpful. Sharing control allows a human tele-operator to drive efficiently and safely. Controller gains are set automatically for a human tele-operator and the ultrasonic sensor system by calculating a confidence factor for the mobile robot tele-operator. The ultrasonic sensor system can assist a human tele-operator in driving the mobile robot to offset for shortcomings, for example the tele-operator may not be able to see the mobile robot or the human tele-operator may be tired. Finally, some testing is described to validate the proposed methods.

show abstract

Navigational assistance for disabled wheelchair-users

Cited by 29 publications

References 16 publications

Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains

Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains

Simple expert systems to improve an ultrasonic sensor‐system for a tele‐operated mobile‐robot

Using confidence factors to share control between a mobile robot tele-operater and ultrasonic sensors

Contact Info

Product

Resources

About