Design and Development of Vision-Based Ibot-Kare-Robot for Automation

Our surroundings are brimming with visual signals that are designed to aid human navigation. For instance, there are room numbers next to doors and building directories at the entrances. We will design a more reliable and useful system by creating robot wheelchair systems that can comprehend these cues. The designs and developments of our robot’s wheelchair systems, Wheel, as well as its vision-based navigation technologies, are discussed in this study. The robot wheelchair system builds maps of the environments it travels through using stereo vision; these maps can subsequently be annotated with the data gained from the sign. We also discussed the incorporation of an assistive robot arm that will help with opening doors and pushing the buttons on elevators. numerous parties have constructed and conducted an extensive study on mobile double-wheeled self-balancing robots for academic, recreational, and commercial objectives. The designs and assembly of a compact, autonomous, two-wheeled robot platform are described in this study. The robot is quick, has several onboard sensors that let it navigate through an unstructured environment, can jump over minor obstacles, and can communicate wirelessly over short and long distances. The up-boards single camera machined visions module, which aids the robots in recognizing impediments, is one of the features. This disclosure is intended to help other researchers working on related projects enhance the design of these devices.