Science at NYU: A Public Lecture Series

Teaching Robots to See

By combining recent advances in automatic machine learning and visual neuroscience, mobile robots can be taught to detect and recognize objects and obstacles, and can automatically adapt to unknown environments.

At a public lecture in March, New York University Professor Yann LeCun—an expert in computational neuroscience and learning-based image understanding techniques, among other areas—discussed this exciting new frontier of mobile robotics and the real-world implications for security and surveillance, industry, and human-computer interaction. “Teaching Robots to See” was part of an ongoing of series of lectures by NYU science faculty working on the frontiers of contemporary science, co-hosted by the NYU School of Continuing and Professional Studies and the New York Academy of Sciences, along with the Office of the Dean of Sciences at NYU.

Yann LeCun

Silver Professor of Computer Science at the Courant Institute of Mathematical Sciences, NYU.

		Listen to an interview with Professor LeCun and highlights from the lecture. Produced by the New York Academy of Science as part of their weekly "Science and the City" podcast series.