{"title":"基于视觉系统的室内自主乒乓球采集机器人的设计与开发","authors":"Ha-Nam Nguyen-Dang, Truc-Ly Nguyen-Thi, Kha Huynh-Hoang, Hong-Tai Tran, Tien-Thinh Nguyen, Tuan Tran, Quang Le-Nhat, Khuong Nguyen-An","doi":"10.1109/NICS56915.2022.10013436","DOIUrl":null,"url":null,"abstract":"In this paper, we have solved the four key problems of autonomous ping-pong ball collecting robots: ball detection, distance estimation, path planning, and avoiding objects in the path. The proposed path planning and obstacle avoidance method are the most effective compared to current practices in simulation. Practical experiments also give promising results.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Development Indoors Autonomous Ping-Pong Collection Robot with Vision System\",\"authors\":\"Ha-Nam Nguyen-Dang, Truc-Ly Nguyen-Thi, Kha Huynh-Hoang, Hong-Tai Tran, Tien-Thinh Nguyen, Tuan Tran, Quang Le-Nhat, Khuong Nguyen-An\",\"doi\":\"10.1109/NICS56915.2022.10013436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we have solved the four key problems of autonomous ping-pong ball collecting robots: ball detection, distance estimation, path planning, and avoiding objects in the path. The proposed path planning and obstacle avoidance method are the most effective compared to current practices in simulation. Practical experiments also give promising results.\",\"PeriodicalId\":381028,\"journal\":{\"name\":\"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NICS56915.2022.10013436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICS56915.2022.10013436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Development Indoors Autonomous Ping-Pong Collection Robot with Vision System
In this paper, we have solved the four key problems of autonomous ping-pong ball collecting robots: ball detection, distance estimation, path planning, and avoiding objects in the path. The proposed path planning and obstacle avoidance method are the most effective compared to current practices in simulation. Practical experiments also give promising results.