K. Knoedler, Velin D. Dimitrov, Doug Conn, M. Gennert, T. Padır
{"title":"在灾害响应任务中驾驶车辆的人形机器人的监督控制","authors":"K. Knoedler, Velin D. Dimitrov, Doug Conn, M. Gennert, T. Padır","doi":"10.1109/TePRA.2015.7219695","DOIUrl":null,"url":null,"abstract":"We describe the approach of Worcester Polytechnic Institute's (WPI) Robotics Engineering C Squad (WRECS)to the utility vehicle driving task at the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) Trials held in December 2013. WRECS was one of only seven teams to attempt the driving task, and the only team with an ATLAS robot to successfully drive the course. We implement a supervisory control system that allows the robot to control the speed of the vehicle, while the operator helps the robot steer the vehicle. Two different methods of estimating speed, using the LIDAR and stereo cameras, are presented, and the performance of the robot at the Trials is discussed.","PeriodicalId":325788,"journal":{"name":"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Towards supervisory control of humanoid robots for driving vehicles during disaster response missions\",\"authors\":\"K. Knoedler, Velin D. Dimitrov, Doug Conn, M. Gennert, T. Padır\",\"doi\":\"10.1109/TePRA.2015.7219695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe the approach of Worcester Polytechnic Institute's (WPI) Robotics Engineering C Squad (WRECS)to the utility vehicle driving task at the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) Trials held in December 2013. WRECS was one of only seven teams to attempt the driving task, and the only team with an ATLAS robot to successfully drive the course. We implement a supervisory control system that allows the robot to control the speed of the vehicle, while the operator helps the robot steer the vehicle. Two different methods of estimating speed, using the LIDAR and stereo cameras, are presented, and the performance of the robot at the Trials is discussed.\",\"PeriodicalId\":325788,\"journal\":{\"name\":\"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TePRA.2015.7219695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TePRA.2015.7219695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards supervisory control of humanoid robots for driving vehicles during disaster response missions
We describe the approach of Worcester Polytechnic Institute's (WPI) Robotics Engineering C Squad (WRECS)to the utility vehicle driving task at the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) Trials held in December 2013. WRECS was one of only seven teams to attempt the driving task, and the only team with an ATLAS robot to successfully drive the course. We implement a supervisory control system that allows the robot to control the speed of the vehicle, while the operator helps the robot steer the vehicle. Two different methods of estimating speed, using the LIDAR and stereo cameras, are presented, and the performance of the robot at the Trials is discussed.