Integrating embedded color vision to Bioloid robot for playing soccer

Sendari, Siti; Lestari, Dyah; Kusumohadi, Choirul Ulfa; Wibowo, Fauzy Satrio; Anam, Khoirul

doi:10.1109/icsigsys.2017.7967060

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Powered by 1000mAh LBS-10 11.1v Bioloid Premium lithium-polymer (LiPo) battery, the robot also has capabilities to self-adjusts posture while walking [3]. Its movement is controlled by Robotis CM-530 controller [4]. The controller can be interfaced to PC using both cable and wireless connection.…”

Section: Field and Gameplaymentioning

confidence: 99%

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2019

AJTVE

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This paper illustrates the implementation of computer vision algorithm for robot localization in completing Free Kick Challenge task of FIRA RoboWorld Cup and Summit. A marker patch is placed at robot's head and robot localization is determined using Roborealm software. Image from marker is processed using color and shape matching technique to estimate position and angle of the robot. Robotis Bioloid Premium robot is used in the challenge task. Robot's controller (CM-530) is interfaced to serial communication in Roborealm software using bluetooth connection using PC to control robot's movement.

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Section: Field and Gameplaymentioning

confidence: 99%

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2019

AJTVE

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“…In the implementation, Fixy CMUcam5 uses a colourbased filtering algorithm, which determines the primary filtering parameters using the colour (hue) and saturation of each red-green-blue (RGB) pixels. In this process, the coloured codes are transferred as area of pixels, so it can be used to determine the size of objects [12]. Pixy CMUcam5 can detect more than 7 colours using colour codes (CC).…”

Section: A Coloured-object Detectormentioning

confidence: 99%

Colour-based PBEJCT Sorting in a Wide Range and Dense Target Points using Arm Robot

Muladi¹,

Sendari²,

Zaini³

2019

Proceedings of the 2nd International Conference on Vocational Education and Training (ICOVET 2018)

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The sorting system using arm robot is very complex as it involves pick and place mechanism. The complex parts of the system come from the mechanical parts and also the electronic-based control. The complexity will increase as higher the degree of freedom (DOF). This paper report the development of the sorting system using 4 DOF and employs a CCD camera for detecting the object. The movement principles of the arm is using kinematic both forward and inverse. The camera will differentiate the object using its colour. The result shows that the arm can place the object in the 5 mm distance while the coverage area is a square of 30 cm.

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“…Robotics is an important subject, which could be deal with designing, modelling, controlling, and usage of the robot for special purposes [1]. One of special robots is a legged robot, which designs consist of a large number of degree of freedom (DOF) to determine the locomotion and tasking abilities, such as humanoid robot [2] or animaloid robot [3]. The robot has a physical form and actuators designed to be able to move and resolve tasks [4].…”

Section: Introductionmentioning

confidence: 99%

Experimental Media Development for Learning Kinematics Using Jointed Robot Model

Sendari¹,

Zaeni²,

Alfarobbi³

2020

Proceedings of the International Conference on Learning Innovation 2019 (ICLI 2019)

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This paper discusses about developing the learning media of kinematics using jointed robot models. The difficulty of learning kinematics is the high complexity of robot movements, while the number of degrees of freedom (DOF) is high. The DOF determines the movement of the robot joints to be more smooth, so each joint should be controlled accurately. The learning content consists of a theoretical concept of kinematic models and how this concept could be implemented as robot movements in real. In order to be more understandable, developing learning media is needed, which consists of jointed robot model as the practicing tool, practicum module and manual book. The learning content consists of a theoretical concept of kinematic models and how this concept is implemented as robot movements in real. The developing learning media is carried out regarding the learning media development method introduced by the Sugiyono's model. In order to observe whether the media could be valid for teaching-learning, evaluation of experts is needed. The results show that validation processes of experts are averaged as 91.2%, which indicates the criteria of a product is very valid and suitable to be used as learning media to support learning activities of kinematics study.

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Integrating embedded color vision to Bioloid robot for playing soccer

Cited by 6 publications

References 8 publications

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Colour-based PBEJCT Sorting in a Wide Range and Dense Target Points using Arm Robot

Experimental Media Development for Learning Kinematics Using Jointed Robot Model

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