Robot Vision and Learning / Fall 2022


Course Description

The research and development of robotic and unmanned systems, e.g. home robots and autonomous vehicles, is a frontier field in computer science and artificial intelligence leading a way to artificial general intelligence (AGI). In recent years, deep learning based 3D vision systems and reinforcement learning algorithms have achieved a number of breakthroughs, spawning the emerging field -- embodied artificial intelligence, and generating many new directions and topics worthy of in-depth investigation. Therefore, we offer this advanced graduate-level course for students with backgrounds in deep learning and computer vision to further their study in 3D vision and robot learning. The course will cover various tasks and problems ranging from the construction of robot vision systems to vision-based robot control and interaction, and aims to offer deep and broad discussion of this cutting-edge field.

Logistics

  • Time: Wednesday 3:10 - 6:00 PM
  • Location:
    • Room 211, Peking University (Changping Campus)
    • Room 211, Teaching Building 2, Peking University (Haidian Campus)
  • Office Hour: Friday 4:30PM - 5:30PM (Room 106-1, Courtyard No.5, Jingyuan)

Prerequisite

  • Courses
    • Deep Learning
    • Computer Vision
    • University-level Mechanics
  • Coding
    • Proficiency in Python
    • Familiar with PyTorch

Grading

  • 3 Assignments: each 20%, in total 60%
  • 1 Course Presentation (in English): 40%

Instructors

Teaching Assistants