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In developing the proposed system, we stipulated that the mobile robot performs multiple indoor support tasks.
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Spherical robots are an example of mobile robots performing rolling locomotion.
During WSN deployment, mobile robots perform cooperative Simultaneous Localization and Mapping (SLAM) and communicate over the WSN.
Simulated and real experiments have been conducted on team of mobile robots performing two proof-of-concept co-operative tasks: dynamic target tracking and box-pushing.
Initially, kinematic modeling and singularity analysis of the mobile robot is performed.
Finally, by integrating this global positioning scheme with feedback control, trajectory tracking of an omni-wheel based mobile robot is performed to demonstrate the importance of the scheme in indoor smart living technology.
The system was successfully incorporated within a real mobile robot system which performs many other computational tasks in parallel.
Mobile robotics has achieved notable progress, however, to increase the complexity of the tasks that mobile robots can perform in natural environments, we need to provide them with a greater semantic understanding of their surrounding.
Moreover, using mobile robots allows performing transportation and operation simultaneously.
The intelligent dynamic selection and synchronization of selected behaviors enable mobile robots to perform many tasks under complex situations.
In this environment, many cameras and infrared sensors allow handling robots and mobile robots to perform complex tasks such as printing and delivering document.
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