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Mobile robot navigation and control with monocular surveillance cameras

In recent years, most of the research about autonomous mobile robotics is focused on obstacle detection and path planning in unknown environments. Improved accuracy in environment recognition and high precision in robot control can ensure feasibility of intelligent and autonomous mobile robotic systems in unexplored environments. To reach this goal, effective navigation and control approaches for the mobile robots must be proposed. This paper presents a path planning approach based on the navigation map reconstructed by a scout robot equipped with an onboard camera using VSLAM (visual simultaneous localization and mapping) algorithm. In the region where surveillance cameras can see blind robots equipped with no onboard cameras, these blind robots can be driven to follow the desired trajectories and reach their goal positions by the proposed visual servo control law. The proposed navigation and control system has been validated by experimenting with a blind robot using available real-time vision from the surveillance cameras.