Group

The Robot Optimization and Learning Lab (ROLL) develops the mathematical foundations of high-performance robot planning, control, and learning.

Graduate students

• Andres Torres (co-advised with Elliot Hawkes)
• Cayetana Salinas Rodríguez (co-advised with Jason Marden)
• John-Paolo Casasanta
• Jonathan Lane
• Yufeiyang Gao (co-advised with James Preiss)

Undergraduate students

• Mayand Gulati
• Susan Clay