Introduction to Computer Vision & Robotics

Details

In this course, concepts important for robotic applications will be taught as e.g.:

• Sensors and actuators
• Robot control
• Movement generation methods
• Path planning
• Learning algorithms in robotics
• Image filtering
• Line, Circle & Feature Detection
• Image segmentation techniques

Module: B.Phy.5676 Credits: 9 CP

Link to StudIP

Organizers:

Lecture: Tomas Kulvicius, Zhe Li, Minghao Cheng, Shijia Li,
tomas.kulvicius/zhe.li/minghao.cheng/shijia.li@phys.uni-goettingen.de

Practical Course: Sebastian Ruiz, Lennart Jahn,
sebastian.ruiz/lennart.jahn@phys.uni-goettingen.de

Schedule

The lecture will be held in HS3 weekly on wednesdays 10:15 - 11:45.
The practical course will take place thursdays 12:15 - 13:45 in SR16.

The exam dates are not yet fixed.

Lecture 1 26.10.2022 Introduction of course and tutors	Presentation
Lecture 2 02.11.2021 R1. Introduction to Robotics. Sensors and actuators	Presentation Video Kalman Filter Demo
Lecture 3 09.11.2021 R2. Robot kinematics and control	Presentation Video Denavit-Hartenberg Convention Control Demo Kinematics Demo
Lecture 4 16.11.2021 R3. Path planning algorithms	Video Part 1 Video Part 2 Presentation Papers Dijkstra Demo
Lecture 5 23.11.2022 CV1. Thresholding, Filtering & Connected Components	Presentation Video Jupyter Notebook
Lecture 6 30.11.2022 CV2. Bilateral Filtering, Morphological Operators & Edge Detection	Presentation Video Jupyter Notebook
Lecture 7 07.12.2022 CV3. Corner Detection & Non-Local Filtering	Presentation Video Jupyter Notebook Corner Detection Non local Means
Lecture 8 14.12.2022 CV4. Line/Circle Detection, Template Matching & Feature Detection	Presentation Video Jupyter Notebook
Lecture 9 21.12.2022 R4. Movement generation methods	Presentation Video DMP Demo
Lecture 10 11.01.2023 R5. Learning algorithms in robotics I: Supervised and unsupervised learning	Presentation Video Correlation Learning Demo
Lecture 11 18.01.2023 R6. Learning algorithms in robotics II: Reinforcement learning	Presentation Video PI2 Demo Q-Learning Demo RL Tutorial
Lecture 12 25.01.2023 CV5. Face Detection, Pedestrian Tracking	Presentation Video Jupyter Notebook
Lecture 13 01.02.2023 CV6. Segmentation & Computer Vision in 3D	Presentation Video Jupyter Notebook
Lecture 14 08.02.2023 Q&A