Guillermo Gallego

TU Berlin, Robotic Interactive Perception

Guillermo Gallego works on computer vision and robotics. He focuses on robot perception and on optimization methods for interdisciplinary imaging and control problems. Inspired by the human visual system, he works toward improving the perception systems of artificial agents, endowing them with intelligence to transform raw sensor data into knowledge, to provide autonomy in changing environments.


SCIoI Publications:

Gu, C., Learned-Miller, E., Gallego, G., Sheldon, D., & Bideau, P. (2021). The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. ArXiv:2106.06887 [Cs].

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