Robot Learning (FRI II)

Fall 2024
 

Course Description

This class provides students with an understanding of modern research in robot learning. Robot learning research seeks to bring to bear modern machine learning and artificial intelligence algorithms on problems in robotics, integrating learning with classical techniques in perception, planning, and control. As a continuation of FRI I, this course will have students design and execute a research project.

The course is part of an effort to build a community of undergraduate researchers in the Robot Interactive Intelligence (RobIn) Lab directed by Professor Roberto Martín-Martín.

Course Time and Location
Time: Mon/Wed 3:30 to 5pm
Location: BUR 130

Online Platforms
Ed Discussion
Canvas
Gradescope

Instructor

Ben Abbatematteo
OH: Mon 5pm, Wed 2pm
Office: GDC 3.430
Email: abba [at] cs.utexas.edu

Peer Mentors

Luca Macesanu
OH: Wed 3-5pm; Fri 10-11am
Location: In-class Wed; AHG 1.220 Fri
Tarun Kholay
OH: Mon 1-2pm; Wed 1-3pm
Location: AHG 1.220
David Yuan
OH: Tues / Thurs, 9:30 - 11am
Location: AHG 1.220
Nicolas Hsu
OH: Tues/Thurs 2-3:30pm
Location: AHG 1.220

Learning Objective

As part of the Freshman Research Initiative, this course aims to provide students with an introductory experience to robotics research. Through this course, students will:

  • Gain experience reading and understanding research papers.
  • Apply classroom concepts from the previous semester in more advanced research projects.

Credits

This course is presented by Ben Abbatematteo in conjunction with Professor Roberto Martín-Martín as part of the Freshman Research Initiative. The course takes inspiration from Justin Hart's Autonomous Robots FRI stream.