Untitled e ISSN 2582 5208 International Research Journal of Modernization in Engineering Technology and Science Volume 03/Issue 05/May 2021 Impact Factor 5 354 www irjmets com www irjmets com @Interna[.]
e-ISSN: 2582-5208 International Research Journal of Modernization in Engineering Technology and Science Volume:03/Issue:05/May-2021 Impact Factor- 5.354 www.irjmets.com TO ANALYSE PROBLEMS AND DESIGN OF TENNIS BALL ROBOT BY USING BAM MODEL De–Van Pham*1,Thoi- Le Nam*2, Thanh – Pham Van*3 *1,2,3Faculty Of Technology, Dong Nai Technology University, Dong Nai, Vietnam ABSTRACT Over the years, robotics research has yielded many applications in a number of fields such as manufacturing, domestic industry, and sports This seminar, discusses the development of an automatic tennis ball picking robot The robot was developed with the aim of saving tennis players time and energy from collecting tennis balls by hand after training sessions The automatic ball picking robot can pick up tennis balls by scanning around the tennis court This workshop discusses system configuration in terms of mechanics and controller subsystems, navigation, and system performance The knowledge and experience gained from developing different subsystems of robotics is very useful for improving university students' knowledge Keywords: Robot, Control, Tennis Ball, Education I INTRODUCTION Today, robotics is a multidisciplinary field of technology that is applied in a number of fields such as manufacturing, home industry and sports Recently, the use of robots in the sports field has received extensive attention from the robotics community In particular, intelligent robotic systems are more and more used in detecting the kinematic changes of the environment by using sensors, selecting and creating the appropriate motion to accomplish the goal Tennis (tennis) is known as "the sport of a lifetime" Tennis is one of the important sporting events that has grown in popularity in recent years Correspondingly, coaching or training sessions have increased as the feedback received from the majority of tennis practitioners is the arduous task of hand-collecting tennis balls after each practice as tennis courts often become mess with shadows as they are used However, there are many limitations The downside of the current method of collecting tennis balls is that it wastes time, not enough rest time for tennis players, makes tennis players more exhausted and unsatisfactory in practice So, the goal of this research is to develop an automatic robot that can scan around the tennis court to collect tennis balls automatically, improving tennis coaching/training quality, saving time a tennis player's time and energy and most importantly, serves as an educational tool This article is organized in the following ways Part discusses the design requirements of the automatic ball picking robot, part fabrication methods, follows the results in section and finally concludes in section II DESIGN REQUIREMENTS The diameter and mass of a tennis ball are 6.67cm and 57.7g, respectively The typical size of a tennis court is 29.80 meters long and 14.63 meters wide During each practice session, the coach will give tennis balls to the tennis students, and so there will be a lot of tennis balls scattered at the end of the court Figure illustrates the tennis balls scattered on the court after each practice session An additive activation model is defined by a system of n + p coupled first-order differential equations that interconnects the fields FC and signal function of the ith neuron in the field FC and the signal function of the jth neuron in the field FJ p Ci Ai Ci S j ( jkj ) m ji Ii j n J j A jC j Si ( jik ) m ij I j i Discrete additive activation models correspond to neurons with threshold signal functions The neurons can assume only two values ON and OFF On represents the signal value + and OFF represents or -1 ( -1 when the representation is bipolar) The bipolar version of these equations yield the signal value -1 when ci