Michel Fliess receives the Ampere Prize of the Academy of Sciences in 2015

Entry only available in french…


Environment mapping and landmarks extraction by passive 3D vision, for robot navigation

Contact: bogdan.stanciulescu at

Position and duration: Postdoctorate – 12 Months full time contract

Starting date: 1st of April 2016

Qualifications and skills: Applicants must have a PhD in the field of computer science, electrical engineering, physics, or any other related field. The candidates need to have a strong background in scene interpretation, particularly in the following fields: 3D environment reconstruction, SLAM, feature extraction, scene recognition, visual object detection. The applicants must have good communication skills, be able to work in a team environment and have fluent English skills. French language knowledge is a plus, but not compulsory.

The application must contain information of research background and work experience, including:

  1. A motivation letter outlining background, experience and interest in the subject.
  2. A detailed CV, including personal contact information and list of publications.


Applications must be submitted by e-mail to bogdan.stanciulescu at with the subject: POSTDOCTORAL POSITION.

The Robotics Laboratory of Mines-ParisTech (CAOR) has developed extensive competences and tools in the field of computer vision and pattern recognition for real-time object detection and classification (people, vehicles, faces, etc). One of the CAOR’s algorithms has been internationally recognised as the 2nd best Pascal VOC challenge 2006.

For its results in real-time object recognition and classification, the CAOR’s has been rewarded the Best Student Paper Award at the International Conference on Control, Automation, Robotics and Vision 2011, and again rewarded the International Joint Conference on Neural Networks 2011 object recognition challenge.

The postdoctoral associate could use the CAOR’s experience in real-time video processing, robust signature extraction from multiple images and machine learning.

Least but no last, the Robotics Lab has acquired a good experience in sensor data fusion for performing indoor SLAM. The Laboratory’s prototype « Corebots » has won 2 times out of 3 the DGA-ANR Carotte competition for mobile robots, by a precise 3D environment mapping and localisation.


SLAM laser mapping by Corebots prototype

Read more


Silvère Bonnabel recipient of the SEE-IEEE Price Alain Glavieux 2015

This entry is only available in french…


International Workshop on Movement and Computing (MOCO’16) – Call for Papers

Following on from the two previous successes of the International Workshop on Movement and Computing (MOCO’14) at IRCAM (Paris, France) in 2014, as well as MOCO’15 at Simon Fraser University (Vancouver, Canada) in 2015, we are pleased to announce MOCO’16, which will be hosted in Thessaloniki, Greece. MOCO’16 will be organized by MINES ParisTech, (France) in co-operation with the Paris 8 University (France), the University of Macedonia, Thessaloniki (Greece) and Aristotle University of Thessaloniki (Greece).


International Workshop on Movement and Computing

The vision of MOCO’16 is to bring together academics, researchers, engineers, designers, technologists, technocrats, creative artists, anthropologists, museologists, ergonomists and other practitioners interested in the phenomenon of the symbiosis between the human and the creative process, e.g. dancer-digital medias, musician-instrument, craftsman-object etc. This symbiosis takes the form of an interactional and gravitational relationship, where the human element is both a trigger and a transmitter, connecting perception (mind/environment interaction and cognition), knowledge (theoretical understanding of a process) and gesture (semantic motor skills). MOCO’16 invites researchers that have experiences of capturing the combined key elements of perception, knowledge and gesture/movement. MOCO’16 will be of interest to artists who work on the elucidation of the intersection between art, meaning cognition and technology by unlocking the hidden components in human creativity. The workshop also provides a forum for industrial partners, for whom the movement and gestures of the workers/operators consist of key elements in terms of ergonomics and health, to see and present state-of-the-art technologies.

A key feature of the MOCO’16 Workshop will be to open some of its demonstrations and artistic activities to the public-at-large in order to provide this extended audience with the opportunity to be informed about current scientific issues and topics by experts in an informal setting.

Read more


Talk by Philippe Fuchs at “WHAT’S NEXT”, IMMERSION in 360°

Professor at Center for Robotics, Philippe Fuchs talked about 360° immersion at “What’s Next”, 360° Immersion, in october, the 13th which took place at l’Usine – Saint-Denis. With the increasingly offer of HMD accessible to the general public (due to their low cost), it seems legitimate that the use of this type of device, quite intrusive, asks at least questions of public health.

You will find here the workshop’s participants…


INC Day 2015 – Keynote lecture by Alexis Paljic

Alexis Paljic has been invited to perform the inaugural presentation at the INC Day 2015 Conference. This year, the INC Day is dedicated to the many applications of Virtual Reality in Neurocience, Psychology and Psychiatry.


Aperçu de la présentation d’Alexis Paljic (MINES ParisTech) lors de la conférence INC Day 2015

Snapshot of Alexis Paljic (MINES ParisTech) keynote during INC Day 2015 Conference
MINES ParisTech researcher and specialist in Virtual Reality, Alexis Paljic offered some elements of answers to the question “How far can we trust VR for the Simulation of Real Human Activities ?”.

Videos of the presentations are available on the website INC Day 2015.


Best paper award at ITS World Congress 2015 in Bordeaux

The paper “Autonomous driving at intersections: Combining theoretical analysis with practical considerations” won a Best Paper Award at the ITS World Congress 2015 in Bordeaux.

Best Paper Award ITS World Congress Bordeaux 2015

The paper was written by Arnaud de La Fortelle (Director of the Robotics Centre and holder of the Chair Drive for You) and Xiangjun Qian (PhD student at the Robotics Centre) as part of the work on the European project Autonet 2030 and  within the Chaire Drive for You.

Abstract :

The move towards automated driving is gaining impetus recently. This paper follows the approach of combining theoretical analysis with practical issues. It gives an insight of some practical problems that are encountered when running automated vehicles in real environments, using intersection crossing as a major example. The aim is not to try to be exhaustive but to show some criteria (safety, efficiency, reactivity, resilience, scalability…) for decision making in automated driving that have to be balanced before any mass deployment. In a second part we introduce mathematical tools that can help define algorithms and systems that improve current state of the art. We will also show some perspective for accommodating the hypotheses of these mathematical tools with real life constraints.

Read the paper


The Center For Robotics distinguished in the decade of the Carnot Institutes

The mobile robot developed in the Center For Robotics at MINES Centre ParisTech was illustrated during the decade of the Carnot Institutes. The Carnot Institutes are composed of laboratory of excellence with lots of R&D activities.


The mobile robot his equipped by the CoreSLAM algorithm (developed in the Center for Robotics) to locate and mapping a previously unknown space, the robot can move autonomously in a room to perform various missions.

Tony Noël in charge of this mobile robot gave more information about the robot and its applications in a video made within the ten years of Carnot Institutes.

[Youtube id = “4uyef0byAQ0” width = “600” height = “350”]

The mobile robot also seen at “Usine Nouvelle


Best rated session award at ITS World Congress 2015 in Bordeaux

The session SIS25 on “theoretical and technical challenges for automated” won the Best rated session award at ITS World Congress 2015 in Bordeaux.

Best rated session award at ITS World Congress 2015 in Bordeaux.

Best rated session award at ITS World Congress 2015 in Bordeaux.

This session has been the opportunity to present the theoretical and technical challenges for automated driving from different perspectives. Indeed the speakers were coming from all around the world, and with an academic or industrial focus.

The session has been organised and moderated by Arnaud de La Fortelle (MINES ParisTech, Center for robotics), in collaboration the following speakers:

  • Denis Gingras, Université de Sherbrooke, Canada
  • Vincent Abadie, PSA Peugeot Citroen, France
  • Guillaume Devauchelle, Valeo, France
  • Ming Yang, Shanghai Jiao Tong University, China
  • Pär Degerman, SCANIA, Sweden
  • Ching-Yao Chan, University of California at Berkeley, United States

The Chair Drive for You was well represented during this session (PSA Peugeot Citroën, Valeo, Shanghai Jiao Tong University, University of California at Berkeley and MINES ParisTech). This award is a strong encouragement for the research carried out in the Chair Drive for You.

Summary of the session:

Automated driving research has been up to now mainly concentrated on sensor-based vehicle automation. Most current automated vehicles are therefore performing autonomous driving meaning every driving decision is taken within the vehicle. While sensor based systems have demonstrated automated driving in platooning scenarios, highly automated driver assistance or driving in unstructured environment, fully automated driving in broader contexts still requires further research and development. Much effort needs to be undertaken to achieve safety performance superior to that of a human driver, despite the inferior general cognitive capabilities of computers with respect to humans, and this is a prerequisite to creating the public acceptance and trust needed for their deployment. This session aims at providing some insight of what research labs and automotive industry have identified as the next key steps, how research handles these problems and how the results are being integrated into automotive roadmaps.

InriaLHB – Inria Labeled Human Body

We present a new dataset of annotations for aligning a Point Distribution Model onto the human body. The corresponding research is described in the paper O. Huynh and B.Stanciulescu, “Clustering and Classifying Deformations for Shape Regression applied to the Human Body”, in ISPA 2015. The InriaLHB uses the pedestrian images from the Inria Person Dataset. Annotated shapes correspond to a standing person in front or back view.


Some annotated samples of the dataset

Some annotated samples of the dataset

Read more