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Design And Control of an Articulated Robotic Arm for Archery

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dc.contributor.authorKhairudin A.R.M.en_US
dc.contributor.authorBaharuddin Z.en_US
dc.contributor.authorMohamed H.en_US
dc.contributor.authorHafidz M.H.A.en_US
dc.contributor.authorKeith C.T.J.en_US
dc.contributor.authorFaudzi A.A.M.en_US
dc.contributor.authorHamid W.en_US
dc.contributor.authorid57204805520en_US
dc.contributor.authorid57959715300en_US
dc.contributor.authorid57136356100en_US
dc.contributor.authorid57488574500en_US
dc.contributor.authorid57959940600en_US
dc.contributor.authorid26028861100en_US
dc.contributor.authorid57960146800en_US
dc.date.accessioned2023-05-29T09:39:21Z
dc.date.available2023-05-29T09:39:21Z
dc.date.issued2022
dc.descriptionGrippers; Hough transforms; Intelligent robots; Robot vision; Signal detection; Archery; Articulated robotics; Design and control; Detection algorithm; Education industry; Machine-vision; Medical areas; Sports area; Targeting Systems; WebCams; Robotic armsen_US
dc.description.abstractThe significance of robots and artificial intelligence is gaining popularity, especially in education, industries and warehouse stores. This role can be further applied in sports and medical areas, where robots can imitate human movements and perspectives. An articulated robotic arm, motion controllers, and a vision-based targeting system are components of an archery robot's robotic system. This paper highlights the development of the targeting system by comparing the OpenCV Circle Hough Transform (CHT) algorithm with the colour and contour detection algorithm. Using these algorithms, the robot was able to find the centre of the target in a pre-determined x-y plane viewed from a webcam, draw the arrow, and finally release the arrow. This paper proposes using a Universal Robot UR5 robotic arm with a standard gripper to shoot an arrow at a target using a detection algorithm. The gripper was chosen as it can perform a thumb draw style of shooting, using a single motor to grip and release the string. This paper also provides a proof of concept algorithm that can detect a target using a webcam at 87.56% accuracy and then control a UR5 manipulator to shoot an arrow to hit the target. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ROMA55875.2022.9915661
dc.identifier.scopus2-s2.0-85141577689
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85141577689&doi=10.1109%2fROMA55875.2022.9915661&partnerID=40&md5=93cb6b0655b9bbfbc660a0c21d2ff992
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27081
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation, ROMA 2022
dc.titleDesign And Control of an Articulated Robotic Arm for Archeryen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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