Description
- This course will study the algorithmic aspects of intelligent robotics and more generally autonomous systems.
- Core topics: planning, state estimation and learning that are central to an intelligent agent. Additionally, we will examine how the agent can make intelligent decisions given imperfect or uncertain knowledge about the world.
- Note that we will focus on the core algorithmic and AI aspects. The detailed physical interaction and control will largely be abstracted away for algorithmic treatment.
- Pre-requisites: Introduction to Artificial Intelligence (COL333-671) or Introduction to Machine Learning (COL774 or equivalent). Programming proficiency and knowledge of probabilistic models, deep learning, basic search algorithms, logic and probability will be an advantage.
- The course will have both practical and theoretical components. The practical component will build on theory and will require thorough experimentation and analysis by the students.
- This course is being offered the first time. It builds on the COL864 (Special Topics in AI) course offered at 8xx level. Students who have taken COL864 with the instructor should not register for COL778.
Logistics
| Class Days |
Mondays and Thursdays |
| Slot |
AA |
| Timing |
2:00 PM - 3:20 PM |
| Lecture Room |
LH 421 |
Announcements
- Namasivayam K (CSE PhD student) will be the head TA for the course.
- First class will be held on Monday 01.01.2024.
- Extra class on Saturday 13th January at 11am in SIT 001.
- Please enrol yourself in Piazza. The self sign-up link is here. Piazza will be the default channel for assignment-related discussions.
- Assignment 1 has been released. Details can be found here. The assignment is due at 6:00 PM on Monday, 05 Feb.
- Assignment 2 has been released. Details can be found here. The assignment is due at 6:00 PM on Wednesday, 28 Feb.
- Viva for Assignment 1 will be conducted on Wednesday 14 Feb 2024 from 10:00 AM. Please see piazza (https://piazza.com/class/lrbkundx2i41ms/post/9) for more details.
- Mid-term Examination will be on 20.02.2024 at 1pm.
- Instructions for the Mid-term exam appear here.