We aim to develop the science of autonomy toward a future with robots and AI systems integrated into everyday life, supporting people with cognitive and physical tasks.

Our work spans: computational design and fabrication of robots; algorithms for perception, planning reasoning and control with guarantees; algorithms for auditable machine learning; and algorithms for collaborating machines and people. Our innovations enable new applications in smart living, transportation, healthcare, manufacturing, monitoring, exploration, and much more.

We focus on developing the science of network, distributed, and collaborative robotics by asking: how can many machines collaborate to achieve a common goal? Our research addresses the development of algorithms and systems that enable collaboration, increase autonomous capabilities, and rethink the ways in which we design and interact with the physical world.



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