This seminar provides an overview of techniques in the field of embodied intelligence.

This course features a curated series of biweekly research talks by leading international researchers in robotics, computer vision, and control. Topics include soft and bio-inspired robotics, humanoids, robot learning, foundation models, perception, and autonomous control. Attendance is mandatory and monitored.

Recent developments in neural networks have drastically advanced the performance of machine perception systems in a variety of areas including computer vision, robotics, and human shape modeling.This course is a deep dive into deep learning algorithms and architectures with applications to a variety of perceptual and generative tasks.