2019
DOI: 10.11591/ijeecs.v15.i1.pp104-112
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Develop and implementation of PC based controller for humanoid robot using digital potentiometer

Abstract: This paper introduced to develop and implementation of PC based controller for humanoid robot using digital potentiometer. The main objective in this paper is to develop and implement the joystick controller by using a digital potentiometer circuit board that be able to control the humanoid robot movement. The Arduino board and digital potentiometer will be integrated by connecting both pins in between wiper, W pin and ground, GND to the DB9 pins of remote control platform, which is TX and RX pins respectively… Show more

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Cited by 2 publications
(2 citation statements)
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“…Once the distribution function of the number of tags is determined, information exchange can be carried out through the communication components under the controller to select the appropriate time frame length to maximize the average value of the random variable of the throughput rate. At this point, it is assumed that the number of tags around the communication component of the robot controller in a given time range approximately obeys a Poisson distribution: Te data information to be acquired includes the number of time slots in diferent states (collision, success, and vacancy) of the current time frame, and the robot controller can complete the efective prediction of the number of tags based on the number of time slots in diferent states [17,18]. Taking the number of time slots obtained in the latest frame as an example, it can be calculated according to the following formula:…”
Section: Dynamicalitymentioning
confidence: 99%
“…Once the distribution function of the number of tags is determined, information exchange can be carried out through the communication components under the controller to select the appropriate time frame length to maximize the average value of the random variable of the throughput rate. At this point, it is assumed that the number of tags around the communication component of the robot controller in a given time range approximately obeys a Poisson distribution: Te data information to be acquired includes the number of time slots in diferent states (collision, success, and vacancy) of the current time frame, and the robot controller can complete the efective prediction of the number of tags based on the number of time slots in diferent states [17,18]. Taking the number of time slots obtained in the latest frame as an example, it can be calculated according to the following formula:…”
Section: Dynamicalitymentioning
confidence: 99%
“…But unfortunately, these robots are in lack of optical recognition systems. This problem can be solved by applying research [17], [18] in the field of machine and artificial intelligence, as well as using algorithms for detecting objects on a humanoid robot [19], [20]. Thus, the problem of sorting semi -precious minerals with the goal of reducing waste of precious raw materials remains relevant.…”
Section: Introductionmentioning
confidence: 99%