
I'm a Ph.D. student at Carnegie Mellon University advised by Nathan Michael and working with RISLAB in the Robotics Institute. Prior, I graduated with a double major in Computer Science (CS) and Electrical and Computer Engineering (ECE) from Cornell University, where I led the software team of CUAUV. My work explores dynamical model learning for quadrotors to enable agile and accurate flight.
Contact me at my last name (lowercase) at cmu dot edu.
Rotational Error Metrics for Quadrotor Control
Alexander Spitzer, Nathan Michael
Presented at Perception, Learning, and Control for Autonomous Agile Vehicles (IROS 2020 Workshop).
PDF
Talk
More
Inverting Learned Dynamics Models for Aggressive Multirotor Control
Alexander Spitzer, Nathan Michael
Presented at Robotics: Science and Systems (RSS) 2019.
PDF
Video
Talk
Fast and Agile Vision-Based Flight with Teleoperation and Collision Avoidance on a Multirotor
Alexander Spitzer, Xuning Yang, John Yao, Aditya Dhawale, Kshitij Goel, Mosam Dabhi, Matt Collins, Curtis Boirum, Nathan Michael
Presented at the International Symposium on Experimental Robotics (ISER) 2018.
PDF
Video
Leveraging experience for robust, adaptive nonlinear MPC on computationally constrained systems with time-varying state uncertainty
Vishnu R. Desaraju, Alexander Spitzer, Cormac O'Meadhra, Lauren Lieu, Nathan Michael
In The International Journal of Robotics Research, Vol. 37, Issue 13-14, 2018.
PDF
Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty
Vishnu R. Desaraju, Alexander Spitzer, Nathan Michael
Presented at Robotics: Science and Systems (RSS) 2017.
PDF
BalanceBot: A Self-Balancing Two-Wheeled Robot
Alex Spitzer, Leo Mehr
In Circuit Cellar, Issue 316, pp. 24-31, Nov. 2016.