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Learning for Human-Robot Interaction

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  • Lecturer: Sylvia TULLI (silvia.tulli@sorbonne-universite.fr)
  • Course code:
  • Student workload: 12 h of lectures, 2 h of tutorials, 16 h of labs
  • Credits: 3 ECTS
  • Specialization tracks: ROBOT (elective) SI (elective) MeDH
  • Semester offered: S1 S2 S3 S4
  • Language of instruction: French English
  • Targeted audience: Eng. Sc. department Other :  
  • Localization : PMC Campus Other :  

Course Overview

Review of machine learning and reinforcement learning Introduction to interactive machine learning Interactive task learning / Communication in learning Learning from feedback Learning from demonstration Learning from instruction Evaluation of interactive systems Learning for robot-behavior generation (transparency, explainable AI)

Mots-clés : Interactive robot learning, imitation learning, interactive reinforcement learning, explainable AI

Prerequisites

Students should have previously acquired the following prerequisites to follow this course:

  • Fundamental principles of machine learning (supervised learning, reinforcement learning)

Intended Learning Outcomes

By the end of this course, students will be able to:

  1. Master the fundamentals of machine learning and reinforcement learning

  2. Understand the principles of interactive learning

  3. Design a feedback-based learning system

  4. Implement a learning-from-demonstration system

  5. Evaluate an interactive robot-learning system

  6. Apply explainable-AI methods to robot behaviors

Indicative Teaching Sequence and Methods

Week C/TD/TP* Content Preparation Learn.\ outc.
S1 C (2h) Review of machine-learning and reinforcement-learning concepts AAV1
S2    
S3 C (2h) Introduction to interactive machine learning AAV2
S4 C (2h) Learning from feedback AAV3
S5 TP (4h) Learning from demonstration (LfD) AAV3
S6 C (2h) Learning from demonstration (LfD) AAV4
S7 TP (4h) Language-based learning: instructions, explanations and grounding AAV4
S8 C (2h) Explainability and evaluation of interactive robot-learning systems AAV3 / AAV4
S9 C (2h) Final project — Interactive robot learning AAV5 / AAV6
S10 TP (4h) Final project — Interactive robot learning AAV2, AAV3, AAV4, AAV5, AAV6
S12 TP (4h) Project presentation AAV2, AAV3, AAV4, AAV5, AAV6
S15 TD (2h) AAV2, AAV3, AAV4, AAV5, AAV6
  • C/TD/TP respectively corresponds to lectures, tutorials and lab sessions.

Indicative Assessment of Intended Learning Outcomes (1st session)

Week Individ./group In-person/remote Type of exam Evaluated outcomes Scale %
S15 Group In-person Other   80%
S5 Individual In-person TP   20%

2nde session

Session Individ./group In-person/remote Type of exam Evaluated outcomes Scale %
2 Group In-person Written exam AAV 1-10 50%
1 Group In-person Quiz AAV1-8 50%

Logo SDI Date of generation of this unit description: 06/10/2026 Logo SDI