The rise of Brain-Computer Interface (BCI) and Artificial Intelligence (AI) is essentially what made robotic arm control in industrial and assistive environments so much better. The developers monitor the correctness and the performance using simulated environments, which in turn, eliminates the possible real-world hazards. This article analyzes multiple pieces of data that have been collected from a variety of experiments assessing the reaction time, task completion speed, error rate, and overall accuracy of robotic arms handled by BCI and AI systems.