This is the third research project to investigate assisting people with tele-operation tasks and it is ongoing. The project continued the development of ultrasonic sensor systems for tele-operated vehicles and explored new software algorithms to mix human and sensor inputs to drive the tele-operated vehicle.
The project investigated the use of rule based system to assist a tele-operator with driving a mobile robot. Tele-operator performance was monitored and their perception of system time lags when completing mobile robot tasks was recorded. Confidence factors were used to share control between a mobile robot tele-operator and ultrasonic sensors.
The way that learning is adjusted was considered when provided with different levels of sensor support while driving mobile robots. Knowledge-based expert system were introduced using a set of rules to assist a tele-operator.
Finally non-model-based control was introduced.
Rule based systems can assist a tele-operator with driving a mobile robot.
Tele-operator performance only gets worse when a user begins to perceive system time lags.
The new concept of confidence factors was used to share control between a mobile robot tele-operator and ultrasonic sensors.
The way that tele-operator learning changes when provided with different levels of sensor support was demonstrated.
Knowledge-based expert systems were used to assist a driver with a tele-operated mobile robot.
Tele-Operator Learning was adjusted when provided with different levels of sensor support.
Non-model-based control of a wheeled vehicle was introduced.
Short title | Assisting with tele-operation 3 |
---|
Status | Active |
---|
Effective start/end date | 14/04/16 → … |
---|
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):