Courses
Robot Dynamics
RL&LLM
Stanford Large Language Models
Robot Learning
CMU Introduction to Robot Learning
Behavior cloning, inverse reinforcement learning, and GAIL with real-robot demonstrations and transfer learning.
UCB Robots That Learn
Behavior cloning, inverse reinforcement learning, and GAIL with real-robot demonstrations and transfer learning.
Stanford Interactive Simulation for Robot Learning
Behavior cloning, inverse reinforcement learning, and GAIL with real-robot demonstrations and transfer learning.
Autonomous Car
CMU Planning and Decision-making in Robotics
Probabilistic models, Bayesian inference, and uncertainty estimation for robust robot learning.
Stanford Principles of Robot Autonomy I
Probabilistic models, Bayesian inference, and uncertainty estimation for robust robot learning.
Stanford Principles of Robot Autonomy II
Probabilistic models, Bayesian inference, and uncertainty estimation for robust robot learning.
ZJU Mobile Car
Probabilistic models, Bayesian inference, and uncertainty estimation for robust robot learning.
UoT Autonomous Driving Car
Probabilistic models, Bayesian inference, and uncertainty estimation for robust robot learning.
Tubingen Self-Driving Cars
Probabilistic models, Bayesian inference, and uncertainty estimation for robust robot learning.
Manipulation
台大機器人學(运动学)
Forward and inverse kinematics, Jacobians, and differential motion for robotic manipulators.
台大機器人學(动力学)
Forward and inverse kinematics, Jacobians, and differential motion for robotic manipulators.
QUT Robotics Course
Forward and inverse kinematics, Jacobians, and differential motion for robotic manipulators.
MIT Robotic Manipulation
Forward and inverse kinematics, Jacobians, and differential motion for robotic manipulators.
Northwestern Modern Robotics
Forward and inverse kinematics, Jacobians, and differential motion for robotic manipulators.
PKU Embodied AI
Forward and inverse kinematics, Jacobians, and differential motion for robotic manipulators.
Books
Robot Dynamics
Modern Robotics
Comprehensive coverage of robot kinematics, dynamics, motion planning, and control with modern mathematical tools.
Robotics: Modelling, Planning and Control
Advanced treatment of robot modeling, planning algorithms, and control strategies with practical applications.
Reinforcement Learning
Reinforcement Learning: An Introduction
Comprehensive introduction to reinforcement learning covering fundamental algorithms and theoretical foundations.
Algorithms for Reinforcement Learning
Focused treatment of key RL algorithms with mathematical rigor and practical implementation details.
Motion Planning
Planning Algorithms
Comprehensive coverage of motion planning algorithms from basic search to advanced sampling-based methods.
Introduction to Autonomous Mobile Robots
Theory and algorithms for robot motion planning, covering both classical and modern approaches.
Manipulation
Robotics: Vision and Control
Integration of computer vision and robotics for intelligent manipulation and autonomous systems.
A Mathematical Introduction to Robotic Manipulation
Mathematical foundations of robotic manipulation including kinematics, dynamics, and control theory.
Seminars
MIT Robotics Seminar
Videos
MIT Embodied Intelligence Seminar
Videos
CMU Robotics Institute Seminar
Videos
Northwestern Robotics Seminar
Videos
Upenn Grasp Robotics Seminar
Videos
UofT AI Robotics Seminar
Videos
UMich Robotics Seminar
Videos
UW CSE Robotics Seminar
Videos
UMD Robotics Seminar
Videos
Hermes Multi-Bot Seminar
Videos
Robot Learning Seminar
Videos
Robotics Today Seminar
Videos
Control Meets Learning Seminar
Videos