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The views from each robot and support images provided by monitoring robots in this experiment are summarized below: Fig. 14 Images sent by each robot.
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By adaptively selecting ROI and sharing it monitoring robots can adapt to changes in environment and understand the situation around the working robot.
In this paper, an innovative exogenous fault detection method for monitoring robots swarm is presented.
Control system could monitor robot stable state in real time, and maintain the robot state to be stable by controlling joints appropriately.
The SwarmFarm system comprises "the Swarm" (multiple robots working together); the SwarmHive (the replenishment station for herbicide, fuel, fertiliser, insecticide or seed); and the SwarmView (the app used to monitor the robots in the field).
The color signal is displayed on the screen presented by the monitoring robot.
Robot caregivers can anticipate potential health problems by monitoring blood pressure and glucose levels, for example.
Scientists have made a robot move on a human's behalf by monitoring thoughts about movement, reports New Scientist.
Figure 19 shows the evaluation results for visual support provided by local view and wide view monitoring robots.
Fig. 19 Survey results on the evaluation of support by wide view and local view monitoring robots.
By evaluating the operator's intention, the monitoring robots can adjust the position to avoid unnecessary actions.
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