Exploring the limits of robotics systems

As machine learning becomes more integrated into robotics, researchers are actively exploring the fundamental limits of these systems. A doctoral student at Penn Engineering, Bruce Lee, is working to understand when a problem becomes too complex for a robotic system to solve and what factors contribute to this "limit." His research focuses on how robots learn from data and aims to develop new algorithms that are both efficient and robust. This work has significant implications for improving the safety and efficiency of technologies like self-driving cars and healthcare robots. The goal is to create robotic systems that can better adapt to dynamic and complex environments with minimal human intervention.

‍