Robotics

( Will be updated. Last update: 11-05 2024 )

Contents

 

 



Period: February 5th - May 27th 2024

Time:   Monday 15.15 - 17.00

Place (Rooms): LMUY Havingazaal


2nd Session for ACS students and upon request:
Time: Monday 17.15 - 19.00
Place: Room 4.02 in the Snellius Building


Organizers:

 

Lecturer:

Dr Erwin M. Bakker ( erwin@liacs.nl )

Room 126a and LIACS Media Lab (LML)

 

Teaching assistants:

Tian Xia

Kyriakos Aristidou

Dimitrios Kourntidis

Ruilin Ma

 

NB Register on Brightspace

 

Description: 
During the last decade we have seen an "explosion" of all kinds of robots designed for tasks that previously were deemed too challenging for machines. Robots have evolved from robotic arms and karts that could execute repetitive or simple tasks such as painting, welding and vacuum cleaning to autonomous cars, drones and humanoid helpers and servants that execute their tasks in much less controlled and even natural settings. For this modern robots require sophisticated adaptive capabilities.

During the course we will have a thorough look at the important aspects of robot-architectures used in modern and state of the art robots. The use of various actuators and sensors will be studied. Algorithms for low level tasks such as movement, dead reckoning, obstacle-detection, and balancing will be presented. Intermediate level tasks such as mapping, obstacle recognition and avoidance, and more advanced modes of reckoning, navigation and object manipulation will be studied. Finally, high level tasks such as human-robot-interaction and adaptive behavior in natural environments will be studied and proto-typed using state of the art sensor analysis, computer vision and audio recognition techniques.


Course objectives
After successfully finishing the Robotics course the student:

Recommended skills: fluent in C, C++, or Python

Grading (6 ECTS): Presentations and Robotics Project (60% of grade). Class discussions and attendance (+), assignments (pass/no pass), Mobile Robot Challenge (20% of the grade) and 2 workshops (0-10) (20% of grade).
It is necessary to be at every class and to complete every workshop. If you can not be there, you must contact Dr. E.M. Bakker before class!

Materials:

 

Lecture slides and further materials will be made available on this site.

 

List of recommended books:

 

To be added

 

 

 

Schedule (tentative, visit regularly):
Date
 Subject
5-2
 Introduction and Overview
12-2
 Locomotion and Inverse Kinematics
19-2
 Robotics Sensors and Image Processing
26-2
 No Class.
 4-3
 SLAM + Workshop@Home
11-3
 Robotics Vision + Intro Mobile Robot Challenge
18-3
 Project Proposals I (by students) *
25-3
 Project Proposals II (by students) *
1-4
 No Class  (Eastern)
8-4
 Robotics Reinforcement Learning
 Workshop@Home
15-4
 No Class.
NB Project Progress Reports will take place online, schedule will be communicated.
22-4
 No Class.
 ACS student's RRL lecture: 17.15 - 19.00
 NB Project Progress Reports will take place online, schedule will be communicated.
29-4
 Mobile Robot Challenge I
6-5
 Mobile Robot Challenge II
13-5
 Project Demos I
20-5
 No Class (Whit Monday)
27-5
 Project Demos II
21-6
 Project Deliverables

Assignments (workshops):

  1. Assignment 1: Cool robots (grading pass/no pass), available on Brightspace. Due 12-2 2024.
  2. Assignment 2: Robot mechanics (pass/no pass), available on Brightspace, due 23-2 2024.
  3. Slam Workshop available on Brightspace, due 29-3 2024.
  4. RL Workshop available on Brightspace. Due 21-6 2024. (Extended deadline)
  5. Mobile Robot Challenge available on Brightspace. Due 21-6 2024 (Extended deadline)
  6. Final Project Demo and Deliverables. Due 21-6 2024. (Extended deadline)
Project Links (Selection):