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Semantic information can help robots understand unknown environments better.
Localization in unknown environments is a fundamental requirement for robots.
SLAM algorithms allow autonomous navigation of robots in unknown environments.
Autonomous robots should be able to move freely in unknown environments and avoid impacts with obstacles.
Visual Self-localization in unknown environments is a crucial capability for an autonomous robot.
In this article we propose its application to the task of exploring unknown environments.
In this study, we propose slip estimation methods targeted toward use in unknown environments.
They can be also applied in UAV obstacle avoidance [1] and in unknown environments [19].
Simultaneous localization and mapping (SLAM) is widely used by autonomous robots operating in unknown environments.
Section 2 presents some related works about path-planning of multi-robot in unknown environments.
In other cases, robots have been made to model unknown environments as in [20].
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