Intelligent navigation control system and method

Abstract

The invention relates to an uncalibration machine vision-based intelligent navigation control system and an uncalibration machine vision-based intelligent navigation control method, and belongs to the technical field of automation and detection. In order to overcome the disadvantage that whether a technical effect is good or bad depends on uncalibration parameters in a conventional scheme, in vision system-based mobile robot real-time obstacle avoidance and a navigation control method in the technical scheme of the invention, an image is automatically acquired and analyzed for the purpose of realizing the control of a mobile robot platform; the image is processed rapidly from image feedback information obtained directly by utilizing the principal of machine vision; and feedback information is given in a time as short as possible for participating in the generation of a control decision so as to form the position closed-loop control of an end effector of the mobile robot. The scheme improves the adaptability and the work efficiency of a robot, effectively maintains the speed and the precision in an image processing process, enhances the robustness and the stability of a robot control system, and reduces cost input and energy consumption in an implementation process of the technical scheme.

Description

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AI Technical Summary

Benefits of technology

This technology described in this patented describes an improved version of navigational systems that use advanced technologies like cameras and sensors instead of older methods. It improves upon previous designs while being easier to upgrade over newer ones due to its flexibility, integrated construction, higher reliance capabilities, faster computation times, lower costs, less energy usage, better overall functionality, and enhanced safety features. Overall, it provides greater benefits than existing solutions.

Problems solved by technology

This patents discusses various technical problem areas related to improving the efficiency and effectiveness of navigating robots (autonomic mobiles). Current systems use cameras like monocular stereo radar and laser scanning, but they cannot provide sufficient detail during long distances because these imagers lack precise optical components necessary for accurate tracking. Additionally, current visual serumplan techniques suffer from limitations caused by environmental conditions including light scattering and occlusion effects, making them challenged towards achieving higher levels of functionality without increasing their size beyond what was previously possible before.

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