Lecture Introduction to Computational Robotics

Lecture Coordinates and Transformations

Lecture Configuration Space and Workspace

Lecture Forward Kinematics

Lecture Inverse Kinematics

Lecture Discrete Search Algorithms

Lecture Probabilistic Roadmap (PRM)

Lecture Rapidly-exploring Random Trees (RRT)

Lecture Control: Position Control and Impedance Control

Lecture Control: Position Control and Impedance Control (continued)

Lecture Camera Models: Pinhole Camera and Camera Calibration

Lecture Depth Cameras, LiDAR, Sensors, and SLAM

Midterm Written Exam

Lecture Simulation and Robotics Software

Lecture Supervised Learning for Robotics

Lecture Convolutional Neural Networks

Lecture Vision Foundation Models

Lecture Model Learning for Robotics

Lecture Model-Based Planning and Trajectory Optimization

Lecture Imitation Learning

Lecture Reinforcement Learning I

Lecture Reinforcement Learning II

Lecture Large Language Models, Vision-Language Models, and Vision-Language-Action Models

Presentation Project Presentations #1

Presentation Project Presentations #2

Presentation Project Presentations #3

Due Final Project Report