
Work in sensor fusion for fully autonomous mobile robots that is expected to be useful for telesystems is discussed. Emphasis is placed on one product of this work, i.e. the sensor fusion effects (SFX) architecture, which can be extended into a control scheme for sensor fusion in telesystems. It can reduce the teleoperator's time in supervising the execution of a telerobot's sensing strategy and adapting that strategy to sensor malfunctions, changes in the environment, and other unanticipated sensing problems. It does this by autonomously monitoring the execution of the sensing strategy and looking for abnormalities. If an abnormality is detected, SFX initiates an exception handling process which tries to repair the sensing strategy autonomously. If that is not possible, the exception handling module gathers as much relevant information as possible and recommends a course of action for the operator. Experiments with sensor data collected from a Sony Hi8 color camcorder, a Pulnix black and white camera, an Inframetrics true infrared camera, Polaroid ultrasonic transducers, and a Hamamatsu ultraviolet light camera on a mobile robot show that SFX can autonomously monitor the execution of a sensing strategy and detect abnormalities. >
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
