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This course is intended for students who are advancing in the study of robotic engineering. Its focus is on how a robot can learn to perceive the physical world well enough to act in it and make reliable plans.

Design Basics

Lessons

Lecture 01 on Course Introduction Lecture 02 on Collaborative Robots Lecture 03 on Vision-based Perception

Learning Basics

Lessons

Lecture 04 on Machine Learning Lecture 05 on Learning Classification Lecture 06 on Neural Networks Lecture 07 on Convolutional Networks Lecture 08 on Regularization Lecture 09 on Optimization

DeepClaw Workshop

Lessons

DeepClaw Workshop A1 DeepClaw Workshop A2 DeepClaw Workshop B1 DeepClaw Workshop B2

Advanced Topics

Lessons

Lecture 10 on Markovian Modeling Lecture 11 on Markovian Learning Lecture 12 on Manipulation Learning Lecture 13 on ChatGPT for Robotics

Course Project

Lessons

1st Paper Review Project Proposal Presentation 2nd Paper Review Project Milestone Presentation 3rd Paper Review Final Spotlight Presentation