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DD2416 Safe Robot Planning and Control 7.5 credits

Administer About course

Information per course offering

Termin

Information for Autumn 2025 Start 27 Oct 2025 programme students

Course location

KTH Campus

Duration
27 Oct 2025 - 12 Jan 2026
Periods
P2 (7.5 hp)
Pace of study

50%

Application code

51870

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group

Open for students from year 3 and students admitted to a master's programme as long as it can be included in your programme.

Planned modular schedule
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Contact

Examiner
No information inserted
Course coordinator
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Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD2416 (Autumn 2025–)
Headings with content from the Course syllabus DD2416 (Autumn 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Introduction to safety, viewpoints, technologies and procedures.
  • Safety/reachablity analysis, safe-set representation and reachablity analysis for dynamic system.
  • Safe robot control, invariant sets, potential field and barrier control functions.
  • Fail-safe and risk-conscious planning.
  • Advanced motion-planing algorithms, feedback motion planing, sampling-based motion planing under differential constraints, trajectory optimisation.
  • Mission planing and integrated assignment and motion planing.
  • Formal methods for robot planing and control. Discrete and continuous time logic for goal and conditions specifications. Correct-by-design planing and control.
  • Reinforcement learning for robot control, reinforcement learning under uncertainty, safe reinforcement learning.
  • Planning and control of multi-robot systems.

Intended learning outcomes

After passing the course, the student shall be able to

  • Explain and use principles in motion planning and robot control
  • formulate a planing problem and a control problem for a given robot application
  • choose and justify appropriate technologies for robot control and motion planing in different contexts and domains
  • analyse and evaluate safety as a concept for a given robot system.

Literature and preparations

Specific prerequisites

Knowledge in introduction to robotics, 5 higher education credits, equivalent completed course DD2410 or or completed item LAB1 in DD2410.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Laboratory work, 2.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB2 - Laboratory work, 2.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB3 - Laboratory work, 2.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB4 - Laboratory work, 1.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Examiner

Profile picture Jana Tumova

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Intelligent Systems

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Supplementary information

Overlaps with DD2415.

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex