In a Siemens backed Georgia Tech competition, each team was given a Ninebot Segway and tasked to improve the efficiency and peak performance of the segway in a competition - style manner. Points were rewarded for modules completed as well as performance during competition.

The stock Ninebot Segway is limited in efficiency and peak performance, restricting its ability to operate optimally in high-demand scenarios. Its existing control algorithms, power management, and mechanical systems are not optimized for competition-level performance, resulting in suboptimal speed, agility, and energy utilization.

By implementing hardware and software optimizations, the Ninebot Segway can be enhanced to achieve greater efficiency and peak performance. Improvements to control algorithms, power management, and mechanical systems can increase speed, agility, and energy utilization, enabling the Segway to perform optimally during competition.