Credits: 5
Schedule: 08.01.2020 - 06.04.2020
Contact information for the course (applies in this implementation):
Slack: Course registrants will be automatically invited. If you don't get an invitation after the course begins, please contact TAs by email.
Please use Slack as primary communication channel.
Personal tutoring/TAs: exercise sessions.
Lecturer: after lectures.
Teaching Period (valid 01.08.2018-31.07.2020):
III-IV (spring) 2018-2019
III-IV (spring) 2019-2020
Learning Outcomes (valid 01.08.2018-31.07.2020):
After completing the course, a student can: (I) explain main concepts related to robotic manipulation; (ii) read scientific literature in robotics to choose approaches for a particular problem; (iv) implement state-of-the-art algorithms.
Content (valid 01.08.2018-31.07.2020):
Robotic manipulation. Grasping and pushing. Motion planning. Motion control. Control in contact. Redundancy. Learning manipulation skills.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Assignments and project work.
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
Weekly quizzes 25%.
Assignments / mini-projects 75%.
To pass, 50% of maximum total grade must be achieved.
Workload (valid 01.08.2018-31.07.2020):
Contact teaching, independent study, assignments, project
Contact teaching 56 h
Independent study 74 h
Details on calculating the workload (applies in this implementation):
Lectures 24 h
Exercise sessions 22 h
Independent study / Readings and quizzes 28 h
Independent study / Solving exercises 56 h
Total 130 h
Study Material (valid 01.08.2018-31.07.2020):
Lecture notes. On-line material.
Details on the course materials (applies in this implementation):
MyCourses
- Lecture slides
- Links to readings and videos
Primary book
- Lynch & Park, “Modern Robotics: Mechanics, Planning, and Control”
Secondary books
- LaValle, “Planning algorithms”
- Murray, Li & Sastry, “Mathematical Introduction to Robotic Manipulation”
Prerequisites (valid 01.08.2018-31.07.2020):
Required: Basic programming skills, basic calculus (gradient), basic vector and matrix algebra, basic probability (random variables, expectation), basic robotics (e.g. ELEC-C1320)
Recommended: Autonomous mobile robots, Digital and optimal control.
Grading Scale (valid 01.08.2018-31.07.2020):
0-5
Further Information (valid 01.08.2018-31.07.2020):
Language class 3: English
- Teacher: Fares Abu-Dakka
- Teacher: Eshagh Kargar
- Teacher: Ville Kyrki
- Teacher: Nguyen Le Tran