Personal Assistant Robot

Ziany Alpholicy X, Sagar Santosh Singh Bhandari, Praveen Peter Dsouza, Divanshu Chand Ji Raina

Abstract


Since the boom in science and technology, humans have been trying to invent machines that could reduce their efforts in day to day activities. In this paper, we develop a personal assistant robot that could pick up objects and return it to the user. The robot is controlled using an android application in mobile phones. The robot can listen to user’s command and then respond in the best way possible. The user can command the robot to move to given location, capture images and pick objects. The robot is equipped with ultrasonic sensor and web camera that helps it to move to different location effectively. It is also equipped with sleds that play important role in object picking process. The robot uses a tiny YOLOv3 model which is rigorously trained on several images of the object. There are some possible improvements that can be achieved which could help this robot to be used in several other fields as well.

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References


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Train your own tiny YOLO v3 on Google colaboratory with the custom dataset,

https://medium.com/@today.rafi/train-your-own-tiny-yolo-v3-on-google-colaboratory-withthe-custom-dataset-2e35db02bf8f

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DOI: https://doi.org/10.24071/ijasst.v3i2.2790

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Publisher : Faculty of Science and Technology

Society/Institution : Sanata Dharma University

 

 

 

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