@article{Sudip Chakraborty_Aithal P. S._2021, title={An Inverse Kinematics Demonstration of a Custom Robot using C# and CoppeliaSim}, volume={5}, url={https://srinivaspublication.com/journal/index.php/ijcsbe/article/view/576}, DOI={10.47992/IJCSBE.2581.6942.0102}, abstractNote={<p><strong>Purpose: </strong>Inverse Kinematics (I.K.) is not as easy as Forward kinematics (F.K.), where we get a definite result. I.K. algorithm provides several possible solutions. From those finding the best solution is such a critical task. For standard robots which are commercially available in the market, the user is not concerned about I.K.’s complexity. They provide the control board and programming IDE to make it easy. However, when we develop a robotic arm from our D.H. parameter and driver board, complexity arises due to lots of difficulties for executing and successful completion. To make life easy, keeping CoppeliaSim background can eliminate the calculation overhead and get good results. The custom robot is running with less computation power. It may be a good approach. We are using C# for User Interaction. Following step by step, anyone can create a robust I.K. engine with little effort. The complete code is available in GitHub to test and experiment further.</p> <p><strong>Design/Methodology/Approach</strong>: The data are propagated through Interprocess communication. For the user interaction, we use visual studio IDE using the most accessible language, C#. The user interaction data are sent to another application, CoppeliaSim, which calculates inverse kinematics, and effective results are displayed through robotic arm movement.</p> <p><strong>Findings/Result: </strong>Implementing this procedure can get the excellent result of the robotics arm. Furthermore, by imposing the Value on the real robot, we can get effective results. It minimizes the research overhead on I.K. calculation. </p> <p><strong>Originality/Value: </strong> Without knowing I.K. calculation complexity, receiving the Value, we can apply it to the real robot. Two issues we can solve here. One is the calculation, and another one is experiment overhead.</p> <p><strong>Paper Type: </strong>Simulation-based Research.</p>}, number={1}, journal={International Journal of Case Studies in Business, IT and Education (IJCSBE)}, author={Sudip Chakraborty and Aithal P. S.}, year={2021}, month={May}, pages={78–87} }