The A²R Lab at Barnard College, Columbia University, focuses on optimizing robotic systems at all scales by developing, optimizing, implementing, and evaluating next-generation algorithms and edge computational systems, through algorithm-hardware-software co-design (e.g., MPCGPU, GRiD, TinyMPC). As such, our research is at the intersection of Robotics and Computer Architecture, Embedded Systems, Numerical Optimization, and Machine Learning.

We also want to promote responsible and accessible robotics and computing. We therefore research ways to better understand and improve diversity, equity, inclusion, and belonging in STEM education globally; promote a sustainable and privacy preserving future for autonomous systems and edge computing; as well as design and teach new interdisciplinary, project-based, open-access courses that lower the barrier to entry of cutting edge topics like robotics, parallel programming, and embedded machine learning (e.g., Global TinyML Education, Parallel Optimization for Robotics).