Our first group of metrics was based on those proposed by Hoffman and Breazeal (2007b), expanded to consider additional measures, including task execution time, the amount of concurrent motion, human and robot idle time, and human robot separation distance.
Decide how you will measure user performance (for example, task execution time or number of errors), behavior and/or responses (for example, using audio, video, screen recorders, interview transcripts and/or detailed notes).
Decide how you will measure user performance (for example, task execution time or number of errors), behavior and/or responses (for example, using audio, video, screen recorders and/or detailed notes).
Consider the parameters such as delay in servicing an event, the number of waiting tasks, clock frequency, power manager delay, state transition time, detection probability and task execution deadline etc. as performance measure parameters.
When tasks are described in detail, the quality measure can quantify the ability of the grasp to counteract expected disturbances during task execution.
The uncertainty of the task execution time is also considered.
Because of the increasing complexity of maintenance tasks, it is not sufficient to train the technicians in task execution.
In this paper we present a behaviour-based mobile robot system for task execution.
A service framework is also introduced for the coordinated task execution by a humanoid robot.
For efficient task execution, environment knowledge is maintained in the memory.
Task execution in multi-agent environments may require cooperation among agents.
