Abstract
Due to the increasing use of smartphones and Internet access, e-commerce start-ups are rapidly spreading throughout the world. Robotics and automation, together with cutting-edge technology like artificial intelligence (AI), machine learning, and deep learning concepts, are some of the factors contributing to the e-commerce sector's explosive growth. While start-up e-commerce services are falling behind in terms of automation and mechanical integrity, the e-commerce industry as a whole is performing well in contrast to other sectors. In the light of this, this study suggests a reasonably priced mobile inventory pod for e-commerce services that incorporates artificial intelligence and stores the requested items in the designated region of the warehouse. Picking goods from the rack is done by a robotic arm with four degrees of freedom, and the pod's eye is a camera module. AI helps to train the bot to take the right path, choose the right object, and identify obstacles in its path. Mecanum wheels allow us to manoeuvre the robot in any direction, even in confined spaces, and an Arduino microprocessor ensures that the entire system runs smoothly.
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Jones, A., Ramya, B., Sreedharani, M.P., Yuvashree, R.M., Jacob, J. (2023). Tyro: A Mobile Inventory Pod for e-Commerce Services. In: Chaki, N., Devarakonda, N., Cortesi, A. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. ICCIDE 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 163. Springer, Singapore. https://doi.org/10.1007/978-981-99-0609-3_28
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DOI: https://doi.org/10.1007/978-981-99-0609-3_28
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