— 2024 Autumn, Graduate —
Introduction to Artificial Intelligence
(1) MLP, RNN, and CNN [slides]
(2) Reinforcement Learning [slides]
(3) Intelligent Control for Robots [slides]
(4) AIGC [slides]
(5) Embodied Intelligence [slides]
(6) AI for Science [slides]
(7) LLM and AI Agent [slides]
— 2024 Sep 11 —
Perception and Control for Embodied Intelligence[slides]
— 2024 Sep 8 —
Evolution of Control Strategies for Humanoid Robotics[slides]
— 2024 April 10 —
Embodied Intelligence Seminar: Reinforcement Learning for Legged Robots [slides]
— 2023 Winter, Graduate —
Introduction to Artificial Intelligence
(1) The History of Artificial Intelligence [slides]
(2) Neural Network Basics: MLP, RNN, and CNN [slides]
(3) Reinforcement Learning for Digital Applications[slides]
(4) Reinforcement Learning for Robotic Applications[slides][final project][resource]
(5) Game Theory and Multi-Agent Reinforcement Learning[slides]
(6) AI for Science[slides][ML-Agents]
(7) AIGC and LLMs[slides]
— 2023 June 29 —
The Way to Humanoid Robots with Human-level Agility and Energy Efficiency [slides]
— 2021 March 31 —
Towards Energy-efficient and Robust Humanoid Robots [slides]
