2015 Asian Conference on Defence Technology (ACDT) 2015
DOI: 10.1109/acdt.2015.7111574
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Real time kinect based robotic arm manipulation with five degree of freedom

Abstract: We propose a real time, gesture based robotic arm manipulation using kinect sensor. This method uses kinect depth data, skeletal data and joint orientation data for end effector movement including roll, pitch and pinch. For the initial data, we extracted skeletal of the person, hand position and hand state. In closed hand state condition, the position of the hand is extracted and the three dimension data is used for inverse kinematics of the joints of the robotic arm. In open hand state, tilting and rolling of… Show more

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Cited by 9 publications
(3 citation statements)
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“…The gestures of the right hand were then tracked ( Figure 1). Through inverse kinematics, the coordinate positions of the joints of the right hand were estimated [14]. Such positions were converted to the coordinate system relative to the positions of the robotic arm.…”
Section: Introductionmentioning
confidence: 99%
“…The gestures of the right hand were then tracked ( Figure 1). Through inverse kinematics, the coordinate positions of the joints of the right hand were estimated [14]. Such positions were converted to the coordinate system relative to the positions of the robotic arm.…”
Section: Introductionmentioning
confidence: 99%
“…Além disso, a associação da robótica com visão computacional, como a utilização de Microsoft Kinect [Amatya and Petchartee 2015] para movimentar um dispositivo à distância, oferece ainda mais segurança no exercício de atividades perigosas. O Kinect é capaz de reconhecer o corpo e os movimentos do operador, transmitindo por meio de um software, esses movimentos com um grau confiável de precisão ao braço robótico.…”
Section: Introductionunclassified
“…Industrial robots are tend to perform a specific operation or movement based on the predefined actions required. The use of generative modelling approach forecasts grasping tasks based on the tentative data fed from sensors received from data, it also identifies the objects and grip selection will be in a task-oriented manner [2,5]. The capabilities of grasper like Self-adjustability and Self-Stability makes it to perform its tasks accurately avoiding possible mistakes [3].…”
Section: Introductionmentioning
confidence: 99%