Robotic Arm controlled using IoT application

Kareemullah, H.; Najumnissa, D.; Shajahan, M.S. Murshitha; Abhineshjayram, M.; Mohan, Varshan; Sheerin, S. Ayisha

doi:10.1016/j.compeleceng.2022.108539

Cited by 7 publications

(2 citation statements)

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“…Most of the existing research on robotic arms is based on motion studies and kinematic studies. However, none of the research is based on the weight reduction of robotic arm using certain techniques of additive manufacturing, i.e., topology optimization and lattice structure (Kareemullah et al, 2023;Peng et al, 2023;Hernandez-Sanchez et al, 2023). Topology optimization is a computational technique to identify the best arrangement of material throughout in given domain, so as to achieve optimum function.…”

Section: Introductionmentioning

confidence: 99%

Topological and lattice-based AM optimization for improving the structural efficiency of robotic arms

Batista,

Agarwal,

Gurung

et al. 2024

Front. Mech. Eng.

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The robotic arm is one of the vital components of robot assembly. The purpose of the robotic arm is to transmit power and conduct the desired motion, i.e., translation or rotation. Robotic limbs are designed and constructed to execute certain tasks with a high degree of speed, accuracy, and efficiency. This research focuses on to enhancing the strength-to-weight ratio of robotic arm using certain techniques of additive manufacturing, i.e., topology optimization and lattice structure. Employing the finite element analysis, the impact of weight reduction optimization on structural parameters such as stress and deformation in the current design is assessed using ANSYS R18.1 for FE analysis and Creo parametric 7.0 design software for computer-aided design modeling. Observations reveal that the 0.5 and .4 scale lattice structure designs have deformation of 0.01453mm and 0.01453 mm respectively though the generic design has 0.01043 mm deformation. Notably, the 0.5 scale lattice of the robotic arm exhibits a 31.08% higher equivalent stress than the generic design with 29.3%. reduction in mass of the robotic arm. These findings highlight the efficacy of lattice structures for optimizing the robotic arm’s performance, contributing to advancements in power-efficient robot assembly processes.

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Section: Introductionmentioning

confidence: 99%

Topological and lattice-based AM optimization for improving the structural efficiency of robotic arms

Batista,

Agarwal,

Gurung

et al. 2024

Front. Mech. Eng.

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“…Rajeev Agrawal's team [13] evaluated system stability using PID control combined with the transfer function of the control system. H. Kareemullah and D. Najumnissa [14] remote-controlled robotic arms, using wifi wireless technology to control motor movement and ultimately control the robotic arm. However, due to the difficulties in precisely controlling multi-degree-of-freedom robotic arms, Namhyun Kim [15] proposed a Disturbance Observer-based Dual-Position Feedback (DOB-DPF) controller to improve positioning accuracy by real-time compensation for deviation using only one internal sensor.…”

Section: Introductionmentioning

confidence: 99%

Kinematic Analysis and Control Study of a 3-DOF Harvesting Robot

2023

TETR

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In this paper, a three-degree-of-freedom harvesting robot is proposed and its feasibility for harvesting fruit from shorter plants is verified, although agricultural robots are widely used in various agricultural production activities, there is a lack of adequate analysis in this field. The kinematic analysis is carried out and the kinematic parameters and trajectory equations of the manipulator are determined. A control method of the manipulator’s arm based on fuzzy neural network control is proposed, and its feasibility is verified by Matlab through working range analysis and error test. Our goal is to improve the efficiency, convenience, and cost-effectiveness of harvesting dwarf crops by studying this small harvesting robot.

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