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FDD3416 Safe Robot Planning and Control 7.5 credits

Course memo Autumn 2025-10647

Version 1 – 10/15/2025, 11:06:32 AM

Course offering

Autumn 2025-10647 (Start date 27 Oct 2025, English)

Language Of Instruction

English

Offered By

EECS/Robotics, Perception and Learning

Course memo Autumn 2025

Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version undefined

Content and learning outcomes

Course contents

  • Introduction to safety of robotic systems, techniques and approaches.
  • Safety/reachability analysis, safe set representation and reachability analysis for dynamical systems.
  • Safe robot control, invariant sets, potential fields and control barrier functions.
  • Fail-safe and risk-aware planning.
  • Advanced motion planning algorithms, feedback motion planning, sampling-based motion planning under differential constraints, trajectory optimization.
  • Task planning and integrated task and motion planning.
  • Formal methods for robot planning and control. Discrete- and continuous-time temporal logics for goal and constraint specification. Correct-by-design planning and control.
  • Reinforcement learning for robot control, reinforcement learning for planning under uncertainty, safe reinforcement learning.
  • Multi-agent planning and control.

Intended learning outcomes

After passing the course, the student shall be able to

  • Account for and apply different principles of robot planning and control.
  • Formulate a planning and control problem for a given robotic application.
  • Select and motivate appropriate techniques for robot planning and control for various contexts and domains.
  • Analyze and evaluate safety of a given robotic system.

Learning activities

Lectures in parallel with DD2416. Quizzes on lectured topics and a project.

Preparations before course start

Recommended prerequisites

Basic knowledge of robotics and robot control.

Literature

No information inserted

Examination and completion

Grading scale

No information inserted

Examination

  • TEN1 - Written examen, 1.5 credits, grading scale: P, F
  • LAB1 - Laboratory work, 6.0 credits, grading scale: P, 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.

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

The examination will be via quizzes and a project focused on implementation of a technique related to safety analysis, safe planning, safe control, or similar.

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

No information inserted

Round Facts

Start date

27 Oct 2025

Course offering

  • Autumn 2025-10647

Language Of Instruction

English

Offered By

EECS/Robotics, Perception and Learning

Contacts

Communication during course

Contact Jana Tumova (tumova@kth.se) and add [FDD3416] in the subject if you have questions or would like to register for the course. Registered students will get access to the course in Canvas and will also have an opportunity to use the discussion forum there.

Course Coordinator

Teachers

Examiner