Nos chercheuses et chercheurs

Sao Mai Nguyen

Unité d'Informatique et d'Ingénierie des Systèmes (U2IS)

Enseignante-Chercheuse

Interested in robotics, artificial intelligence and cognitive science, I try to bridge these 3 aspects in my work, and started working in cognitive developmental robotics. I have special interest in linking research of machine learning, robotic embodiment, child development psychology and neuroscience. I also explore possibilities to make robots adapt to their physical and social environments.
This is why I strive to answer the questions: Can a robot learn like a child? How do children learn? How do human beings or other species learn? Can a robot learn through social interaction with humans?

Activités de recherche et de formation

Latest publication :

Nicolas Duminy, Sao Mai Nguyen, Junshuai Zhu, Dominique Duhaut, Jerome Kerdreux. Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy. Applied Sciences, MDPI, 2021, 11 (3), pp.975. ⟨10.3390/app11030975⟩. ⟨hal-03118190⟩

See list of publications on : https://hal.inria.fr/search/index/?q=%2A&authIdHal_s=sao-mai-nguyen&sort=producedDate_tdate+desc

Nos chercheuses et chercheurs

Sao Mai Nguyen

Activités de recherche et de formation

Publications HAL

Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis

Prerequisite structure discovery for an intelligent tutoring system based on intrinsic motivation

Evaluating Kinect, OpenPose and BlazePose for Human Body Movement Analysis on a Low Back Pain Physical Rehabilitation Dataset

Towards Automata-Based Abstraction of Goals in Hierarchical Reinforcement Learning

Technical Feasibility of Supervision of Stretching Exercises by a Humanoid Robot Coach for Chronic Low Back Pain: The R-COOL Randomized Trial

Human Activity Recognition (HAR) in Smart Homes

Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning

Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning

Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes

Staircase Negotiation Learning for Articulated Tracked Robots with Varying Degrees of Freedom

Découverte et exploitation de la hiérarchie des tâches par motivation intrinsèque

How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD

Building An Automated Gesture Imitation Game For Teenagers with ASD

Human Skeleton Detection, Modeling and Gesture Imitation Learning for a Social Purpose

Staircase Traversal via Reinforcement Learning for Active Reconfiguration of Assistive Robots

Human-Robot Interaction in senior health care: a qualitative cases-study research on seniors experiencing a robot-coached functional rehabilitation exercise

Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks

An implementation of an imitation game with ASD children to learn nursery rhymes

Hierarchical Affordance Discovery using Intrinsic Motivation

Learning-based modelling of physical interaction for assistive robots

Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations

CHIME: an Adaptive Hierarchical Representation for Continuous Intrinsically Motivated Exploration

Learning a set of interrelated tasks by using a succession of motor policies for a socially guided intrinsically motivated learner

Learning Sequences of Policies by using an Intrinsically Motivated Learner and a Task Hierarchy

Rééducation fonctionnelle assistée par robot humanoïde

Learning a Set of Interrelated Tasks by Using Sequences of Motor Policies for a Strategic Intrinsically Motivated Learner

A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors

Effects of social guidance on a robot learning sequences of policies in hierarchical learning

Multi-level Motion Analysis for Physical Exercises Assessment in Kinaesthetic Rehabilitation

Plug and play your robot into your smart home: Illustration of a new framework

Télé-rééducation fonctionnelle dans le cadre du projet VITAAL

A humanoid robot for coaching patients for physical rehabilitation exercises

Computational Architecture of a Robot Coach for Physical Exercises in Kinesthetic Rehabilitation

Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robot

Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills

A Curious Robot Learner for Interactive Goal-Babbling : Strategically Choosing What, How, When and from Whom to Learn

Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot

Object learning through active exploration

Self-Organization of Early Vocal Development in Infants and Machines: The Role of Intrinsic Motivation

Interactive Learning Gives the Tempo to an Intrinsically Motivated Robot Learner

Properties for Efficient Demonstrations to a Socially Guided Intrinsically Motivated Learner

Whom Will an Intrinsically Motivated Robot Learner Choose to Imitate from?

Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner

Socially Guided Intrinsically Motivated Learner

Bootstrapping Intrinsically Motivated Learning with Human Demonstrations

Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations.

Real-time face swapping as a tool for understanding infant self-recognition

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