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The above are based on conventional ideas for robust navigation.
That is, a by-product of the robust navigation solution is a mapping and exploration system.
The precise and robust navigation was achieved with the proposed method.
Robust navigation system is designed and efficiently estimates state vector of navigation.
We have presented a new approach to robust navigation for surface vessels based on radar measurements only.
Robust navigation for mobile robots over long distances requires an accurate method for tracking the robot position in the environment.
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Inside, the changes are more evident, as the more robust MMI navigation and infotainment system with Internet connectivity is relocated to the dashboard and mounted in a retractable unit.
Designing intelligent and robust autonomous navigation systems remains a great challenge in mobile robotics.
Robust topological navigation strategy for omnidirectional mobile robot using an omnidirectional camera is described.
Robust guidance, navigation, and control systems for MAVs[1] depend on the input information obtained from on-board sensors as cameras.
At the lowest level of interaction of the robot with the environment we employ visual servoing techniques which facilitate robust local navigation by means of relative positioning.
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