10th RSI International Conference on Robotics and Mechatronics (ICRoM 2022) , 2022-11-15

Title : ( Application of Artificial Neural Networks in Automatic Optimum Trajectory Selection for the Hitting Task of a Ping Pong Robot )

Authors: Saleh Farsi , mohmmad salleh emami pour , Erfan Koochakzadeh Dandansaz , Iman Kardan , Amirhossein Nayebiastaneh , Alireza Akbarzadeh Tootoonchi ,

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Abstract

As the great setups for the implementation of human-competitive artificial intelligence algorithms, ping pong robots have found an increasing attention in the literature. One of the multiple factors that affects the performance of these robots, is the paddle trajectory, travelled to hit the ball. A good hitting task trajectory should be accurate and fast enough to ensure that the ping pong paddle will hit the ball at the correct position/orientation, in the correct time, and with the correct speed. Moreover, considering the limitations in the speed and torque of the robot’s actuators, the generated trajectory should be implementable by the robot. In this paper, three of most popular path generation curves, namely Spline, Bézier, and Dubins curves, are used to generate the hitting task trajectory for different hitting conditions. The generated trajectories are then compared based on a multi-objective cost function that includes the maximum values of the jerk, acceleration, and torque imposed to the robot’s actuators. Finally, an artificial neural network is used to learn the best trajectory for each hitting condition. The neural network takes the hitting condition (three-dimensional hitting position and velocity) as the input and selects the best trajectory at the output. The results show that the trained neural network selects the true trajectory with an 85% success rate for the test data. The proposed method enables the ping pong robots to instantly select the optimum trajectory for each hitting condition, with no need to timeconsuming optimization procedures.

Keywords

, Hitting trajectory, neural network, ping-pong robot, trajectory optimization, optimal trajectory
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@inproceedings{paperid:1092870,
author = {Farsi, Saleh and Emami Pour, Mohmmad Salleh and Koochakzadeh Dandansaz, Erfan and Kardan, Iman and امیرحسین نایبی آستانه and Akbarzadeh Tootoonchi, Alireza},
title = {Application of Artificial Neural Networks in Automatic Optimum Trajectory Selection for the Hitting Task of a Ping Pong Robot},
booktitle = {10th RSI International Conference on Robotics and Mechatronics (ICRoM 2022)},
year = {2022},
location = {تهران, IRAN},
keywords = {Hitting trajectory; neural network; ping-pong robot; trajectory optimization; optimal trajectory},
}

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%0 Conference Proceedings
%T Application of Artificial Neural Networks in Automatic Optimum Trajectory Selection for the Hitting Task of a Ping Pong Robot
%A Farsi, Saleh
%A Emami Pour, Mohmmad Salleh
%A Koochakzadeh Dandansaz, Erfan
%A Kardan, Iman
%A امیرحسین نایبی آستانه
%A Akbarzadeh Tootoonchi, Alireza
%J 10th RSI International Conference on Robotics and Mechatronics (ICRoM 2022)
%D 2022

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