The Computational Robotics Lab is a center for foundational research on the computational challenges that arise when planning for robots.

We focus primarily on complex robotic systems such as those that arise in medical applications and warehouse domains.

For such settings, we analyze the domain-specific computational challenges and, subsequently develop algorithms to address these challenges to provide the robotics community foundational tools to solve real-world problems.

This is done by developing and adapting tools from diverse disciplines such as computational geometry, probability theory and machine learning and has led to a deep theoretical understanding of robot motion-planning and to the development of efficient algorithms and data structures applicable to real-world planning problems.