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- W3171728554 abstract "This paper proposes a novel design of a self-driving vending-robot and describes the prototype implementation results. The proposed robot generates the global rotational path from the waypoints selected by the human operator. Subsequently, the robot repeatedly drives itself along the global path. In the autonomous driving process, when the robot recognizes a person with a target gesture (i.e., purchaser), it approaches the purchaser and sells the products. Once the selling process has been completed, the robot returns to the global path and resumes driving on the path. To generate the global path and ensure that the robot can move along the path, we introduce a waypoint-based path generation and navigation algorithm. Furthermore, we develop a deep-learning-based purchaser recognition algorithm. To validate the proposed self-driving vending robot design, we implement the prototype on the ROS framework. The prototype robot can successfully operate under four scenarios, and the findings validate the proposed design for a self-driving vending robot." @default.
- W3171728554 created "2021-06-22" @default.
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- W3171728554 date "2021-06-30" @default.
- W3171728554 modified "2023-09-26" @default.
- W3171728554 title "Design and Implementation of Self-Driving Vending Robot" @default.
- W3171728554 doi "https://doi.org/10.5302/j.icros.2021.21.0003" @default.
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