Prediction of Joint Acceleration of 2 DOF Robot Manipulator Using Supervised Learning

نویسندگان

چکیده

Robo-analyzer (RA) is open-source software that uses a 3D representation of robot manipulator to carry out various analytical studies. It was created primarily assist instructors and students in getting started with robotics teaching learning utilizing framework-based skeleton models or computer aided design (CAD) designs serial robots i.e., articulated robot. The RA used this work simulate examine two-degree freedom (DOF) two link revolute joints respectively. joint length kept constant at 0.2m, the velocity varied from 0 180 degrees per second. two-link permitted forward kinematics after generating establishing input parameters for simulation 2DOF model, which results simulating acceleration values, primary prerequisite machine (ML) process. model tends deduce relationship between output study, further aids deduction linear parameters, especially parameter coordinates, velocity, acceleration. experimentation then carried on basis data apply regression technique (LRMLT), will prediction an output, namely pave way future research can be vibration solely based present joint.

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ژورنال

عنوان ژورنال: International journal of analytical, experimental and finite element analysis

سال: 2022

ISSN: ['2394-5141', '2394-5133']

DOI: https://doi.org/10.26706/ijaefea.2.9.arset1930