Mobile Sensing and Robotics 1 – Part Stachniss (Jointly taught with PhoRS), 2021

The homework assignments for this course require basic knowledge in Python. Therefore, you should attend the Python Crash Course Video Playlist before diving into the course. Tutorials will be held in person or via Zoom, depending on recent developments.

Week 1

15.10.2021


Mobile Sensing and Robotics – Welcome (Cyrill Stachniss, 2021)

Welcome to the Course
Mobile Sensing and Robotics Course
Cyrill Stachniss, 2021


Probability Primer for Probabilistic Robotics (Cyrill Stachniss)

Probability Primer for Probabilistic Robotics
Cyrill Stachniss

Week 2

22.10.2021


Bayes Filter (Cyrill Stachniss)

Bayes Filter
Cyrill Stachniss

Week 3

29.10.2021


Occupancy Grid – 5 Minutes with Cyrill

Occupancy grid maps explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss

Credits:
Video by Cyrill Stachniss
Intro music by The Brothers Records


Occupancy Grid Maps (Cyrill Stachniss)

Occupancy Grid Maps
Mobile Sensing and Robotics Course
Cyrill Stachniss and Nived Chebrolu

Week 4

5.11.2021


Robot Locomotion (Nived Chebrolu)

Robot Locomotion
Nived Chebrolu

Week 5

12.11.2021


Motion Models (Nived Chebrolu)

Probabilistic Motion Models for Mobile Robotis
Nived Chebrolu

Week 6

19.11.2021


Observation Models (Cyrill Stachniss)

Basic Observation Models for Range Sensors
Cyrill Stachniss

Submission of “ex04-motion-model”

Week 7

26.11.2021


Kalman Filter – 5 Minutes with Cyrill

The Kalman filter explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss

Credits:
Video by Cyrill Stachniss
Intro music by The Brothers Records

Further reading:
Link


Kalman Filter & EKF (Cyrill Stachniss)

Kalman Filter and Extended Kalman Filter (EKF)
Cyrill Stachniss

Submission of “ex05-observation-model”

Week 8

3.12.2021


Localization – 5 Minutes with Cyrill

Localization explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss

Credits:
Video by Cyrill Stachniss
Intro music by The Brothers Records


Robot Localization (Cyrill Stachniss)

Robot Localization – An Overview
Cyrill Stachniss


EKF Localization (Nived Chebrolu)

EKF Localization
Nived Chebrolu

Week 9

10.12.2021


Particle Filter – 5 Minutes with Cyrill

The particle filter explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss

Credits:
Video by Cyrill Stachniss
Intro music by The Brothers Records


Particle Filter and Monte Carlo Localization (Cyrill Stachniss)

Particle Filter and Monte Carlo Localization (MCL)
Cyrill Stachniss

Submission of “ex06-EKF-localization”

Week 10

17.12.2021


Robot Control (Nived Chebrolu)

Robot Control
Nived Chebrolu

Submission of “ex07-monte-carlo-localization”

Week 11

7.01.2022


Model Predictive Control – Part 1: Introduction to MPC (Lasse Peters)

Lasse Peters, Fall 2021

Submission of “ex08-control”

Week 12

14.01.2022


Model Predictive Control – Part 2: Numerical Methods for MPC (Lasse Peters)

Lasse Peters, Fall 2021

Week 13

21.01.2022


Robot Motion Planning using A* (Cyrill Stachniss)

Robot Motion Planning using A*
Cyrill Stachniss

Week 14

28.01.2022


Markov Decision Processes for Planning under Uncertainty (Cyrill Stachniss)

Markov Decision Processes (in short MDPs) for Planning under Uncertainty
Cyrill Stachniss

Week 15

4.02.2022


Outlook: Further Lectures Offered at IPB

Cyrill Stachniss