Abstract
This work presents a mapping model of indoor work environments in mobile robotics, called Map-Bot. The model integrates hardware and software modules for navigation, data acquisition & transfer and mapping. Additionally, the model incorporates a computer that runs the software responsible for the construction of two-dimensional representations of the environment (Vespucci module), a mobile robot that collects sensory information from the workplace and a wireless communications module for data transfer between the computer and the robot. The results obtained allow the implementation of the reactive behavior “follow walls” located on its right side on paths of 560 cm. The model allowed to reach a safe and stable navigation for indoor work environments, using this distributed approach.
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Acosta-Amaya, G.A., Acosta-Gil, A.F., López-Velásquez, J., Jiménez-Builes, J.A. (2021). Map-Bot: Mapping Model of Indoor Work Environments in Mobile Robotics. In: Zapata-Cortes, J.A., Alor-Hernández, G., Sánchez-Ramírez, C., García-Alcaraz, J.L. (eds) New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques. Studies in Computational Intelligence, vol 966. Springer, Cham. https://doi.org/10.1007/978-3-030-71115-3_4
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