Design and implementation of a prototype vision-guided golf-ball collecting mobile robot

Wu, Sun-Li; Cheng, Ming-Yang; Hsu, Wu-Hsiao

doi:10.1109/icmech.2005.1529329

Cited by 8 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers are already engaged on finding new approaches that could improve the golf ball picking task (Ming-Shyan Wang, 2006;Pacheco et al, 2008;Sun-Li et al, 2005). Some use vision systems to find and pursue the golf balls (Sun- Li et al, 2005;Pacheco et al, 2008).…”

Section: Autonomous and Semi-autonomous Devicesmentioning

confidence: 99%

See 1 more Smart Citation

Autonomous golf ball picking robot design and development

Pereira

Ribeiro

Lopes

et al. 2012

Industrial Robot: An International Journal

View full text Add to dashboard Cite

2015),"Design and experimental study of a new thrown robot based on flexible structure", Access to this document was granted through an Emerald subscription provided by emerald-srm:368933 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to present the methodology and the results on the design and development of an autonomous, golf ball picking robot, for driving ranges. Design/methodology/approach -The strategy followed to develop a commercial product is presented, based on prior identification requirements, which consist of picking up golf balls on a driving range in a safe and efficient way. Findings -A fully working prototype robot has been developed. It uses two driving wheels and a third cast wheel, and pushes a standard gang which collects the balls from the ground. A hybrid information system was implemented in order to provide a statistically relevant prediction of golf balls location, to optimize the path the robot has to follow in order to reduce time and cost. Autonomous navigation was developed and tested on a simulation environment. Research limitations/implications -Preliminary results showed that the new path planning algorithm Twin-RRT * is able to form closed loop trajectories and improve the result over time. Kinematic constraints were already taken into account on the algorithm. This sampling based algorithm has potential usage in solving other TPP (Travelling Purchaser Problem) related problems. Practical implications -The prototype feasibility is being tested in real driving ranges. It has autonomy of up to 8 h per day. It is capable of collecting up to 1,200 balls in one single journey. It weighs 130 kg and is capable of climbing slopes of up to 228. The maximum speed is 8 km/h and the robot takes 140 min to completely sweep a 25,000 m 2 field at 7.2 km/h (2 m/s) average speed. Social implications -There are about 30,000 golf practice fields, of which 18,000 are located in the USA and Canada. In some countries the golf industry represents more than 15 per cent of tourism GNP. In a typical practice field, about 10,000 balls have to be picked up every day. Originality/value -An important contribution of this paper is the algorithm for path planning in ord...

show abstract

Section: Autonomous and Semi-autonomous Devicesmentioning

confidence: 99%

“…Some use vision systems to find and pursue the golf balls (Sun- Li et al, 2005;Pacheco et al, 2008). Others use hand based movements to drive robots on the field (Ming-Shyan Wang, 2006).…”

Section: Autonomous and Semi-autonomous Devicesmentioning

confidence: 99%

Autonomous golf ball picking robot design and development

Pereira

Ribeiro

Lopes

et al. 2012

Industrial Robot: An International Journal

View full text Add to dashboard Cite

show abstract

“…Recently, artificial intelligence and deep learning techniques have become popular in the recognition, classification, and path planning of robots [9,10]. Vision-guided golf ball-collecting autonomous robots have been developed by [11,12] using external cameras and sensors mounted on golf courts that help them detect the balls. The purpose of this study was to develop a tennis ball-collecting robot that mapped its environment in parallel by detecting tennis balls with a single camera and collecting them.…”

Section: Introductionmentioning

confidence: 99%

Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach

Latifinavid

Azizi

2023

Future Internet

View full text Add to dashboard Cite

The application of robotic systems is widespread in all fields of life and sport. Tennis ball collection robots have recently become popular because of their potential for saving time and energy and increasing the efficiency of training sessions. In this study, an unmanned and autonomous tennis ball collection robot was designed and produced that used LiDAR for 2D mapping of the environment and a single camera for detecting tennis balls. A novel method was used for the path planning and navigation of the robot. A fuzzy controller was designed for controlling the robot during the collection operation. The developed robot was tested, and it successfully detected 91% of the tennis balls and collected 83% of them.

show abstract

“…The robot could efficiently search and pick up the balls on the ground via visual servo control. Wu [4] developed a vision-guided mobile robot that could be used in the golf practice field to pick up golf balls, based on the bird-view image provided by the CCD camera mounted on top of the golf practice field, the relative positions and directions between the golf ball and the mobile robot could be determined. An [5] proposed a new concept of autonomous Ping-Pong balls collecting robot, a movable intelligent robot which can implement automatic identifying, tracking and collecting the Ping-Pong balls.…”

Section: Introductionmentioning

confidence: 99%

Research on Ping-Pong Balls Collecting Robot Based on Embedded Vision Processing System

Cheng

2014

AMM

View full text Add to dashboard Cite

Nowadays, the design on Ping-Pong balls collecting robot cannot combine autonomous control with remote control. And the existing collecting devices are not efficient enough for the ball collecting job. A design is proposed on the system of Ping-Pong balls collecting robot with autonomous and remote control, based on embedded vision processing. The design also includes a set of wheeled picking-up device. The research showed that the robot can serve the function of collecting Ping-Pong balls efficiently.

show abstract

Design and implementation of a prototype vision-guided golf-ball collecting mobile robot

Cited by 8 publications

References 14 publications

Autonomous golf ball picking robot design and development

Autonomous golf ball picking robot design and development

Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach

Research on Ping-Pong Balls Collecting Robot Based on Embedded Vision Processing System

Contact Info

Product

Resources

About