Deep Learning for Robot Perception and Manipulation

4 credits · College of Engineering catalogue

Advisory Prerequisite: ROB 330. Enforced Prerequisite: (ROB 101 or MATH 214 or MATH 217); MATH 216; (ROB 320 or EECS 281); No OP/F. Minimum grade requirement of “C” for enforced prerequisite. (4 credits) Neural-network-based deep learning for robot perception that enables robots to physically manipulate objects. Implementation, training and debugging of students’ own state-of-the-art neural networks. Exploration of research topics in deep learning for robotics, including analysis, implementation, and reproduction of research publications in the area.