CS 598 YL

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

This course offers an in-depth examination of the integration of deep learning techniques with robotic manipulation. In the real-world environment, successful robotic manipulation requires careful consideration of system-level designs spanning perception, dynamics, and decision-making modules. This course will investigate various robotic manipulation tasks across different horizons, encountering objects made of diverse materials ? from rigid to deformable, granular to cloth. We will provide an in-depth analysis of how state-of-the-art deep learning applications can equip robots with novel manipulation capabilities and discuss their advantages over classic approaches. The course will include paper reviews, hands-on projects, and insights into the principles behind state-of-the-art solutions. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister