Robots operating in real-world environments require the ability to reason, adapt, and creatively solve problems when faced with unexpected challenges. Current robotic benchmarks, however, focus primarily on skill-level execution, providing limited insight into cognitive reasoning capabilities. To address this, researchers have introduced RoboWits, a bi-manual robotic benchmark designed to systematically evaluate cognitive reasoning in robots1. This benchmark is significant because it assesses a robot's ability to think creatively and adapt to new situations, rather than simply executing pre-programmed tasks. By evaluating cognitive reasoning capabilities, RoboWits can help identify areas where robots may struggle with complex problem-solving, ultimately informing the development of more advanced robotic systems. The implications of this research extend beyond robotics, as the ability to reason and adapt in complex environments has significant implications for fields such as artificial intelligence and cybersecurity, so what matters most to practitioners is how RoboWits can be used to develop more resilient and adaptive systems.