| Topic | Reading | Slides |
|---|---|---|
| Class Intro | slides | |
| History of Intelligent Robotics | Chapter 1 | slides |
| History Continued | Ten Years of the AAAI Robot Competition,
Balch and Yanco, 2002. |
slides |
| The Hierarchical Paradigm | Chapter 2 | slides |
| Mystery Contest (Path Planning) | no slides | |
| The Hierarchical Paradigm Continued | Chapter 2 | slides |
| Biological Foundations | Chapter 3 | slides |
| Biological Foundations | Chapter 3 | slides |
| Biological Basis for Motor Schemas | Chapter 3 | slides |
| Behavior-based robotics | Chapter 4 | Ron Arkin's Slides 3 |
| Behavior-based architectures | Chapter 4 | Ron Arkin's Slides 4 |
| Case Study: Behavior-based Design | n/a | slides |
| Sensing for Reactive Robots | Chapter 6 (up to vision) | slides |
| Sensing for Reactive Robots Continued | Chapter 6 (vision) | no slides |
| The Descartes Robot (for projects) | Descartes Examples | slides |
| Constraint-based Localization | ||
| Monte Carlo Localization | Dellaert Paper | Dellaert Slides |
| Multi-agents (Cooperative Localization) | Stroupe & Balch | slides |
| Multi-agents | Chapter 8 | slides |
| Multi-agents (Cooperative Observation) | Stroupe & Balch | slides |
| Multi-agents (Biological Inspiration) | n/a | slides |
| Mystery Contest (Reinforcement Learning) | Reinforcement Learning, a Survey | no slides |
| Markov Processes | Reinforcement Learning, a Survey | no slides |
| Criteria for Optimality & Markov Decision Problems | Reinforcement Learning, a Survey | no slides |
| Model-free Reinforcement Learning | Reinforcement Learning, a Survey | no slides |
| Model-based Reinforcement Learning | Reinforcement Learning, a Survey | no slides |
| Case Study: Reinforcement Learning on a Team of Foraging Robots |
no slides | |
| Metic Path Planning | Chapter 10 | no slides |
| Topological Path Planning | Chapter 9 | no slides |