Simulation of robot systems is getting very popular, especially with the lowering cost of computers. The robotic arm is presumably the most mathematically complex for the dynamic and kinematic analysis. The purpose of this paper is to build a simulation framework for a 3R robotic arm using PTC Creo Parametric 2.0 and also to identify its advantages and disadvantages for such analysis. Trajectory of the robotic arm is optimized by considering the shortest path as an objective function between the initial and final position which results in straight line motion using an effective optimization technique known as Teaching learning based optimization (TLBO). Intermediate positions of the optimized results are taken as an input for the simulation of the 3R robotic arm in PTC Creo Parametric 2.0. The results obtained by using TLBO and PTC Creo Parametric 2.0, such as angular positions, joint velocities and joint accelerations are compared based on RMS errors. The verification of the obtained results by both the methods allows us to qualitatively evaluate, underline the rightness of the chosen model and to get the right conclusions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.