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dc.contributor.authorLim, Nicole
dc.contributor.authorLopez, Elizabeth
dc.contributor.authorKim, Seung-yun
dc.date.accessioned2022-03-14T16:57:42Z
dc.date.available2022-03-14T16:57:42Z
dc.date.issued2021
dc.identifier.urihttp://dr.tcnj.edu/handle/2900/3911
dc.descriptionDepartment of Electrical and Computer Engineeringen_US
dc.description.abstractAlgorithms and operating systems are continually being evolved in need to develop more equipped and reliable robotic systems capable of performing in many real-world dynamics. The NAO robot is used to observe the ability of robots to perform specific tasks and the accuracy and reliability in the robot’s performance. The robot is tasked with color detection, accurately identifying object distances and motion planning. Algorithms modeled in Python with use of OpenCV allowed for successful object registration.en_US
dc.description.sponsorshipCollege of New Jersey (Ewing, N.J.). Office of Academic Affairsen_US
dc.description.sponsorshipMUSE (Mentored Undergraduate Summer Experience)en_US
dc.description.sponsorshipNJSGC (New Jersey Space Grant Consortium)en_US
dc.language.isoen_USen_US
dc.rightsFile access restricted due to FERPA regulationsen_US
dc.titleUtilizing object detection of humanoid robots for implementation in motion planning and stereo camera calibrationsen_US
dc.typePosteren_US
dc.typePresentationen_US
dc.typeTexten_US


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