Abstract: R2D2 is an AI- driven assistance robots to enhance passenger experience. These autonomous robots have conversational skills, mapping abilities, and exceptional sensors. R2D2 uses AI that enables recognizing questions and providing answers. The robots have been deployed at railways to assist customers with directions and other train information. From a software perspective, when there is an obstacle in front of it, the robot must find the best way to move over. We had some trouble making the robot understand that the trolley collectors that push the trolleys back to their place are a moving obstacle. We had to tweak the software umpteen times, shows videos and captures photographs of the floor, as well as helps connect the customer/passenger to any help desk through its image recognition features. Added with great ground sensors, R2D2 can detect obstacles that are stationary or dynamic. If a passenger suddenly comes in front of the robot, it will stop. It is equipped with SLAM (Simultaneous Localization and Mapping) technology that helps it map the entire railway station.
Keywords: Mapping ability, SLAM (Simultaneous Localization and Mapping), conversational skills, software umpteen
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DOI:
10.17148/IJARCCE.2023.12454
