Microcontroller based robotic arm: Operational to gesture and automated mode

Ansari, Mohammad Javed; Amir, Ali; Hoque, Md. Ahsanul

doi:10.1109/iceeict.2014.6919045

Cited by 11 publications

(2 citation statements)

References 2 publications

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“…Due to their great usefulness in the industry, industrial robot arms are widely used to move material, parts, and tools as well as the welding and painting of parts [6], offers a powerful performance in terms speed, repetitive and seemingly intelligent decisions [7][8][9][10]. Structurally, a robot arm is constructed from several parts such as manipulator links, actuators, controller, and sensors where the controller acts as the brain to manipulate the mechanical parts [11][12][13]. A robot arm manipulator is constructed from links and joints to control the robot's trajectory.…”

Section: Introductionmentioning

confidence: 99%

Perspective Chapter: Fabulous Design Speed Industrial Robotic Arm

Alkhafaji¹

2023

Human-Robot Interaction - Perspectives and Applications

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This chapter focuses on the design of a handling 5 Degree of freedom (DOF) robot arm model for industrial application. Optimal trajectory planning of industrial robots in the assembly line is a key topic to boost productivity in a variety of manufacturing activities. The aim is to improve the speed performance using multi techniques starting from estimating the transfer function of each manipulated joint, then designing the controller for each DOF reached to modeling arm motion. The designed model has been developed the structural design and testing motion characteristics by using SolidWorks and Simscape toolbox. To enhance the speed performance, it is proposed a High-Speed Proportional Integral Derivative controller (HSPID) based on an improved GA. The comparison response time between uncontrolled and controlled systems proves that the proposed controller produced extreme reduction responses to be measured within the Microsecond unit. Based on trajectory motion, the efficiency of the proposed method is assured by case study motions. The innovative design offers the best solution to rise accurate performance and productivity.

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Section: Introductionmentioning

confidence: 99%

Perspective Chapter: Fabulous Design Speed Industrial Robotic Arm

Alkhafaji¹

2023

Human-Robot Interaction - Perspectives and Applications

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“…Study by Wong Guan Hao et al [7] is implementing PC based Control to five degrees of freedom (5 DOF) arm robot. M. J. Ansari et al [8] study and develop microcontroller-based Arm robot control system. Arm robot programming in LabVIEW has been done in previous study by R. S. Pol et al [9].…”

Section: Introductionmentioning

confidence: 99%

Pattern recognition based movement control and gripping forces control system on arm robot model using LabVIEW

Ramadhan

Lilansa

Rifa'i

et al. 2022

J. Mechatron. Electr. Power Veh. Technol.

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Most arm robot has an inefficient operating time because it requires operator to input destination coordinates. Besides, main problem of arm robot is object’s vulnerability when it is manipulated by the robot. This research goals is to develop an arm robot control system which has ability to automatically detect object using image processing in order to reduce operating time. It is also able to control gripping force for eliminating damage to objects caused by robot gripper. This research is implemented in LabVIEW 2011 software to control arm robot model which can represent industrial scale robot. The software is designed with informative visualization to help user learn and understand robotic control concept deeply. The system can automatically detect object position based on pattern recognition method which has four steps: pre-processing process to initialize picture taken by camera, segmentation process for separating object from the background, classification process to determine characteristics of object, and position estimation process to estimate object position in the picture. The object’s position data are then calculated by using kinematic equation to control the robot’s motion. The results show that the system is able to detect object and move the robot automatically with accuracy rate in x-axis is 95.578 % and in y-axis is 92.878 %. The system also implements modified PI control method with FSR as input to control gripping force with maximum overshoot value 10 %. Arm robot model control system developed is successfully meet the expectation. The system control can be implemented to industrial scale arm robot with several modification because of kinematic similarity between model and industrial scale robot.

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