Abstract

With the rapid development of computer technology, target tracking has become an indispensable technology in the field of image processing. Outline-based matching algorithms are one of the most representative methods in the field of computer vision. The idea is to extract several characteristic vectors from the image and compares them with the characteristic vectors in the corresponding image template. The difference between the image and the template characteristic vector is calculated, and the category is determined by the minimum distance method. The badminton robot collects the depth image of the scene through the depth camera and then uses the machine vision theory to process the acquired depth image. To combine the image depth information to obtain the position of the badminton camera coordinate system in the three-dimensional space, the position of the site coordinate system is achieved. Finally, the position information of the badminton in the multi-frame images is used to predict the falling point of the badminton. The badminton positioning and the analysis of the falling point are completed. The badminton robot quickly runs to the predicted position of the badminton and completes a hitting task. To realize the high-speed continuous and smooth badminton action of the badminton robot manipulator, a new multi-objective manipulator trajectory optimization model is proposed. The experimental results show that the new trajectory optimization model can effectively reduce the energy consumption of the motor and improve the rotational efficiency, thus ensuring the response speed of the arm.

Highlights

  • With the continuous maturity of robotics, robots engaged in ball games have gradually increased, and related research works such as table tennis robots and soccer robots have been relatively mature.[1]

  • The research and development of badminton robots is still in its initial stage, which is directly related to its design difficulty

  • To meet the competition requirements, the badminton robot can play a variety of simulated realistic games such as fixed-point ball, high throw ball, and ball picking

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Summary

Introduction

With the continuous maturity of robotics, robots engaged in ball games have gradually increased, and related research works such as table tennis robots and soccer robots have been relatively mature.[1]. To meet the competition requirements, the badminton robot can play a variety of simulated realistic games such as fixed-point ball, high throw ball, and ball picking. Due to the above reasons, the research and development requirements of badminton robots are very high, and there are few studies at home and abroad. The badminton is visually inspected using two off-site cameras and a computer system, and the robot’s vision system detects the position of the badminton from two perspectives so that it can obtain stereoscopic vision. Since it can only move on straight slides, the catching area is limited and does not have a serving function. The portable badminton robot of the Dalian University of Technology hits the ball provided by the rotating device through a badminton racket.[3]

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