Marie-Morgane Paumard


"A robot is a machine that is made as much like a human being as it is possible to make it, and somewhere there may be a boundary line that may be crossed."

Isaac Asimov, Prodigy


Resume

I was born near Paris and I am a computer-science lover since my early childhood. I see myself as an eclectic autodidact: I love learning and I taught myself few languages, piano, art history, law... and, as you can guess, computer science. I am a computer science student (M2) and I am interested in machines that learn, especially when it deals with robotics.

In 2013, I enter one of the most prestigious French college, l'École normale supérieure de Rennes (ENS Rennes), where I am a State Scholar of Merit student.

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Education

2015 - now

M2: Master in Artificial Intelligence and Decision

from 2015 to present day

Pierre and Marie Curie University, France

École normale supérieure de Rennes, France

Courses: AI for Robotics, Game Theory and Optimization, Scheduling and Combinatory Optimizing, Multi-Agent Systems, Decision under Uncertainty, Collective and Multi-Criteria Decision

→ View website

2014 - 2015

M1: Master of Computer Science and Telecommunications

from 2014 to 2015

École Normale Supérieure de Rennes, France

Computer science courses: Formal langages, Logic, Algorithms, Programmation, Sytems, Architecture, Image treatment, Cryptography, Networks

Math courses: Lebesgues integration, probabilities

Telecommunication courses: Electromagnetism

Miscellaneous courses: Research initiation, Seminar

→ View website (fr)

2013 - 2014

L3 : Bachelor of Computer Science and Telecommunications

from 2013 to 2014

École Normale Supérieure de Rennes, France

Computer science courses: Formal langages, Logic, Algorithms, Programmation, Sytems, Architecture, Image treatment, Cryptography, Networks

Math courses: Lebesgues integration, probabilities

Telecommunication courses: Electromagnetism

Miscellaneous courses: Research initiation, Seminar

→ View website (fr)

2010 - 2013

Post-secondary preparatory classes

from 2010 to 2013

Lycée Marcelin Berthelot, France

French "preparatory classes" prepare student to the "Grandes Écoles", and cover a major part of Bachelor's Degrees in Mathematics, Physics, Ingeneering and Chemistry.

Research

June 2015 - August 2015

Internship at GVLab, Tokyo University of Agriculture and Technology

from June to August 2015

Object Shape Recognition from Haptics

To efficiently manipulate an object, robots need to have a notion of its shape. Mostly done from vision, the shape recognition can also be computed from inertia parameters. They can be obtained from a prior manipulation, like blind people do when they face an unknown ob- ject. In this paper, we focus on understanding the strategies humans use to get inertia parameters for an unknown object. We propose a method to study these strategies by capturing humans’ motions while waving objects, and asking them to guess their shapes. We find out that some people are successful at this task and we demonstrate that the performed movements and strategies depend only on the manipulated object.

→ Download the report

GVLab Team

GVLAB is a research group at Tokyo University of Agriculture and Technology (Japan); it studies Robotics & Control, Human-Robot Interaction and Human Motion.

→ View website

Specific skills

For this internship, I had to work with Kinect and inertial measurement units, I designed an experiment with humans and I used Python and machine learning algorithms.

2014-2015

Year project at TACOMA, INRIA Rennes

each Wednesday from September to April

Data merging and Domotics

In domotics, the detection of activities allows to manage several applications. We study a recent approach using the belief function theory: sensors receive a mass function and should be calibrated. A unprecise calibration causes the domotics to make wrong choices.

We studied a automatic calibration process, based on the k-Nearest-Neighbors algorithm.

→ Download the biblography

→ Download the report (fr)

Tacoma Team

TACOMA is a research team at INRIA Rennes (France)

May 2014 - July 2014

Internship at FLOWERS Labs, INRIA Bordeaux

from May to July 2014

Manipulation of flexible object

Learning how to manipulate flexible tools is an harsh issue in robotics, since there is generally no analytical model of the system dynamics available. Learning algorithms are therefore a pivotal tool to control such systems. In this report, I present the results of my experiment on the manipulation of a fishing rod by a 2-arm robot equipped with a movement generation and perceptual systems. I study how an optimization algorithm allows the robot to reach particular position of the hook on the floor. Then, I analyze the distribution of effects (i.e. final fishhook position) in different contexts as well as optimization performances for particular goals. The obtained results are encouraging to pursue this work and I provide future directions in the conclusion.

→ Download the report

Flowers Team

FLOWERS is a research group at INRIA Bordeaux (France); it studies both machine learning and infant development and apply them to robotics.

→ View website

Specific skills

For this internship, I had to use Python language, dynamic movement primitives (DMP) and covariance matrix adaptation (CMA-ES). I used Baxter Robot.

Main interests

Robotics

Artificial Intelligence

Operations Research

Programming langages

Python

C

OCaml

C++/Java

Langages

French

English

Japanese

German

Italian

Community involvement

Rock and waltz teacher

Member of Student Service Committee of ENS Rennes;

President of the ballroom dance club of ENS Rennes (80 members);

Former secretary of Student Council of ENS Rennes and webmaster of its page;

Hobbies

Piano, opera singing, ballroom dance, astronomy, short-films, foreign languages, art history, hiking, sailing...

Contact

I would be glad to meet you and answer any question you have.

  • 34 rue Carpeaux, 94210 La Varenne, FRANCE
  • +(33) 6-49-03-76-41
  • marie-morgane.paumard@ens-rennes.fr
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