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SyRI (Robotic systems in interaction)

The SyRI team devel­ops embed­ded sys­tems that enhance the abil­i­ty of mobile robots to act autonomous­ly in com­plex open envi­ron­ments, in some cas­es in inter­ac­tion with human oper­a­tors, and in oth­er cas­es in mutu­al inter­ac­tion with oth­er robots. SyRI’s flag­ship appli­ca­tions are mini-UAVs and autonomous vehicles.

Research topics

Control, Planning and Decision-making

This research axis aims to ensure the safe nav­i­ga­tion of autonomous mobile robots in dynam­ic and uncer­tain envi­ron­ments, under con­straints. It is struc­tured around three main and com­ple­men­tary com­po­nents address­ing con­trol, tra­jec­to­ry plan­ning, and decision-making.

Perception, Data Fusion, and State Estimation

Data fusion meth­ods for per­cep­tion and local­iza­tion must account for het­ero­ge­neous, asyn­chro­nous sen­sors pro­duc­ing imper­fect data. Build­ing on pre­vi­ous work, we inves­ti­gate var­i­ous uncer­tain­ty rep­re­sen­ta­tion frame­works (prob­a­bilis­tic, evi­den­tial, and bound­ed-error approach­es) to fuse het­ero­ge­neous infor­ma­tion from mul­ti­ple onboard sen­sors or dig­i­tal maps.

Our main objec­tive with­in this axis is to lever­age data fusion to esti­mate sys­tem states for use in con­trol archi­tec­tures. This research area is struc­tured around two com­ple­men­tary components:

  • Equip­ping sys­tems with per­cep­tion and scene under­stand­ing capabilities 
  • Data fusion for local­iza­tion and state estimation

Robot cooperation and human-robot interaction

This axis focus­es on coop­er­a­tion between autonomous robot­ic sys­tems and human inter­ac­tion in com­plex envi­ron­ments. Research activ­i­ties address col­lab­o­ra­tive per­cep­tion, local­iza­tion, con­trol, and dis­trib­uted deci­sion-mak­ing for robot fleets, autonomous vehi­cles, and con­nect­ed sys­tems. They also inves­ti­gate human behav­ior analy­sis and the design of con­text-aware mul­ti­modal interactions.

Team members

ADOUANE Lou­nis

Pro­fesseur
Tél : 03 44 23 46 45 (poste 43 91)
Mail : lounis.adouane@hds.utc.fr
Bureau : 137

AL HAGE Joëlle

Maître de con­férences
Tél : 03 44 23 46 45 (poste 79 17)
Mail : joelle.al-hage@hds.utc.fr
Bureau :232

BONNIFAIT Philippe

Pro­fesseur, directeur Heudi­asyc
Tél : 03 44 23 46 45 (poste 44 81)
Mail : philippe.bonnifait@hds.utc.fr
Bureau : 218

CHARARA Ali

Pro­fesseur
Tél : 03 44 23 46 45 (poste 46 78)
Mail : ali.charara@hds.utc.fr
Bureau : 220

CHERFAOUI Veronique

Pro­fesseur
Tél : 03 44 23 46 45 (poste 44 87)
Mail : veronique.cherfaoui@hds.utc.fr
Bureau : 226

CORREA VICTORINO Alessandro

Maître de con­férences HDR
Tél : 03 44 23 46 45 (poste 45 04)
Mail : alessandro.victorino@hds.utc.fr
Bureau : 146

MOREAU Julien

Maître de con­férences
Tél : 03 44 23 46 45 (poste 44 14)
Mail : julien.moreau@hds.utc.fr
Bureau : 138

THOUVENIN Indi­ra

Enseignant Chercheur Con­tractuel, HDR
Tél : 03 44 23 46 45 (poste 45 47)
Mail : indira.thouvenin@utc.fr
Bureau : 234

VIDOLOV Boris

Maître de Con­férences
Tél : 03 44 23 46 45 (poste 52 49)
Mail : boris.vidolov@hds.utc.fr
Bureau : 014

XU Philippe

Maître de Con­férences HDR
Tél : 03 44 23 46 45 (poste 41 62)
Mail : philippe.xu@hds.utc.fr
Bureau : 223

Castil­lo Pedro

Chargé de Recherche CNRS, HDR
Tél : 03 44 23 46 45 (poste 46 17)
Mail : pedro.castillo@hds.utc.fr
Bureau : 012

TALJ Reine

Chargée de Recherche CNRS
Tél : 03 44 23 46 45 (poste 46 31)
Mail : reine.talj@hds.utc.fr
Bureau : 230

COCQUEREZ Jean-Pierre

Pro­fesseur émérite
Tél : 03 44 23 46 45 (poste 49 49)
Mail : jean-pierre.cocquerez@hds.utc.fr
Bureau : 234

LOZANO-LEAL Roge­lio

Directeur de Recherche CNRS, Directeur LAFMIA Mex­ique
Tél : 03 44 23 46 45 (poste 44 95)
Mail : rogelio.lozano@hds.utc.fr
Bureau : 030

ALAO Emmanuel

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 51 83)
Mail : emmanuel.alao@hds.utc.fr
Bureau : 140

ALATORRE Arman­do

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 47 06)
Mail : armando.alatorre sevilla@hds.utc.fr
Bureau : 144

AL FARES Hassan

Doc­tor­ant
Tél : 03 44 23 46 45
Mail : hassan.al-fares@hds.utc.fr
Bureau : 224

BADIBANGA KALENDA Marie-Ngoïe

Doc­tor­ante
Tél : 03 44 23 46 45
Mail : marie-ngoie.badibanga kalenda@hds.utc.fr
Bureau : 101

CARDENAS CURO Rhandy

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 11)
Mail : rhandy.cardenas-curo@hds.utc.fr
Bureau : 106

CHARMET Thibault

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 53)
Mail : thibault.charmet@hds.utc.fr
Bureau :101

COCHETEUX Math­ieu

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 42 80)
Mail : mathieu.cocheteux@hds.utc.fr
Bureau :225

FERREIRA SANTOS Marcone

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 52)
Mail : marcone.ferreira-santos@hds.utc.fr
Bureau : 008

GHRAIZI Dany

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 27)
Mail : dany.ghraizi@hds.utc.fr
Bureau : 224

HE Shan

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 51 83)
Mail : shan.he@hds.utc.fr
Bureau : 140

LACLAU Pierre

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 36)
Mail : pierre.laclau@hds.utc.fr
Bureau : 148

MURTA Bernar­do

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 41)
Mail : bernardo.murta@hds.utc.fr
Bureau : 144

NOIZET Maxime

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 27)
Mail : maxime.noizet@hds.utc.fr
Bureau : 224

OUBOUABDELLAH Sel­ma

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 42 80)
Mail : selma.oubouabdellah@hds.utc.fr
Bureau : 225

POUSSEUR Hugo

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 41 41)
Mail : hugo.pousseur@hds.utc.fr
Bureau : 144

SALHI Mohammed

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 42 80)
Mail : mohammed.salhi@hds.utc.fr
Bureau : 225

TARHINI Fadel

Doc­tor­ant
Tél : 03 44 23 46 45 (poste 42 80)
Mail : fadel.farhini@hds.utc.fr
Bureau : 225

IBANEZ GUZMAN Javier

Vis­i­teur
Tél : 03 44 23 46 99
Mail : javier.ibanez-guzman@utc.fr
Bureau : 101

Projects

TIRREX : Technological Infrastructure for Robotics Research of Excellence

The Heudi­asyc research lab­o­ra­to­ry at UTC is involved in the Future Invest­ment Pro­gram, « Struc­tur­ing Equip­ment for Research » (ESR) Equipex + TIRREX, led by the CNRS.

Objectives

TIRREX (Tech­no­log­i­cal Infra­struc­ture for Robot­ics Research of Excel­lence) is the result of sev­er­al years of research and reflec­tion in the field of robot­ics. It aims to devel­op new flag­ship robot­ics plat­forms with nation­al coor­di­na­tion for their access and development.

 The project brings togeth­er all major actors in French aca­d­e­m­ic robot­ics research (CNRS, INRIA, CEA, INRAE) and is struc­tured around 6 the­mat­ic axes and 3 trans­ver­sal axes designed to sup­port the the­mat­ic axes. Bring­ing open­ness to an unprece­dent­ed lev­el in robot­ics, a third trans­ver­sal axis will focus on open infrastructure.

 It aims to ensure, stan­dard­ize access, and main­tain the open­ness of data, soft­ware, and pub­li­ca­tions pro­duced (FAIR data and open-source software).

Research topics

Equipex+CONTINUUM (2021–2029) : Collaborative continuum from digital to human

The Heudi­asyc research lab­o­ra­to­ry at UTC is involved in the Future Invest­ment Pro­gram, Struc­tur­ing Equip­ment for Research (ESR) Equipex + CONTINUUM, led by the CNRS.

CONTINUUM aims to cre­ate a col­lab­o­ra­tive research infra­struc­ture of 30 plat­forms locat­ed through­out France to advance inter­dis­ci­pli­nary research between com­put­er sci­ence and the human­i­ties and social sciences.

Objectives

Through CONTINUUM, 37 research teams will devel­op cut­ting-edge research focused on visu­al­iza­tion, immer­sion, inter­ac­tion, and col­lab­o­ra­tion, as well as on human per­cep­tion, cog­ni­tion, and behav­ior in virtual/augmented reality.

CONTINUUM enables a par­a­digm shift in our per­cep­tion, inter­ac­tion, and col­lab­o­ra­tion with com­plex dig­i­tal data and dig­i­tal worlds by plac­ing the human being at the cen­ter of data pro­cess­ing flows.

The project pro­vides sci­en­tists, engi­neers, and indus­tri­al users with a net­work of high-per­for­mance visu­al­iza­tion and immer­sion plat­forms to observe, manip­u­late, under­stand, and share dig­i­tal data, mul­ti-scale sim­u­la­tions, and vir­tu­al or aug­ment­ed expe­ri­ences. All plat­forms will enable remote col­lab­o­ra­tion and will be equipped with mobile devices that can be loaned to users to facil­i­tate access to these technologies.

Research topics

The CONTINUUM project revolves around 2 research axes:

  • Inter­dis­ci­pli­nary research on inter­ac­tion, in col­lab­o­ra­tion between com­put­er sci­ence and the human­i­ties and social sci­ences, to increase knowl­edge and solu­tions in human-cen­tered computing;
  • Deploy­ment of tools and ser­vices to meet the needs of var­i­ous sci­en­tif­ic domains in terms of access to big data, sim­u­la­tions, and virtual/augmented expe­ri­ences (math­e­mat­ics, physics, biol­o­gy, engi­neer­ing, com­put­er sci­ence, med­i­cine, psy­chol­o­gy, edu­ca­tion, his­to­ry, archae­ol­o­gy, soci­ol­o­gy, etc.).

RITMEA : Research and Innovation in Eco-responsible and Autonomous Transport and Mobility

The RITMEA project is a major research ini­tia­tive aimed at reimag­in­ing the trans­port of tomor­row to make it safer, smarter, and more envi­ron­men­tal­ly friend­ly. It is co-fund­ed by the Euro­pean Union through the ERDF (Euro­pean Region­al Devel­op­ment Fund) and by the Region via the 2021–2027 State-Region Plan Con­tract (CPER).

RITMEA is led by the Land Trans­port and Mobil­i­ty Research Fed­er­a­tion (FR TTM – CNRS 3733) and is struc­tured around six sci­en­tif­ic pil­lars cov­er­ing key areas of future mobil­i­ty (see Fig­ure 1).

The Uni­ver­si­ty of Tech­nol­o­gy of Com­piègne (UTC), through the Heudi­asyc lab­o­ra­to­ry (UMR 7253 CNRS/UTC), plays a cen­tral role by coor­di­nat­ing pil­lars 3 and 5, which focus on vehi­cle automa­tion and trans­port safety.

Priority Research Programs and Equipment


Par­tic­i­pa­tion in the PEPR pro­grams Robot­ics, Iccare (cul­tur­al and cre­ative indus­tries), and Ensem­ble (dig­i­tal collaboration).

More infor­ma­tion : https://www.cnrs.fr/en/our-research/france-2030/pepr

CAP (Collaborative Acceleration Programs) Twinnings 


Trust­Wor­thy Inter­ac­tive aug­meNt­ed autoNomous dri­vING : Shared dri­ving of high­ly autonomous vehi­cles in col­lab­o­ra­tion with Renault.

ANR JCJC ToiCar 2022–2026


ToiCar : Towards Col­lab­o­ra­tive Integri­ty for improved auton­o­my of a mul­ti-robot system 

More infor­ma­tion : https://toicar.hds.utc.fr/

ANR JCJC REVE-BNN

BNN (Bina­rized Neur­al Net­work) for Event-Based Robot Vision

ANR PRC INARI

vIsion mul­ti­modale pour une NAv­i­ga­tion et une com­mande Robuste de véhIcule autonome

ANR PRCE SUCCEN

Sus­tain­able Con­straints for future Cel­lu­lar Networks

Selected publications 2025


Holis­tic adap­tive ener­gy-effi­cient MPC archi­tec­ture for mul­ti-objec­tive con­trol in over-actu­at­ed autonomous vehi­cles
Con­trol Engi­neer­ing Prac­tice, 2025, 164, pp.106464. ⟨10.1016/j.conengprac.2025.106464⟩
Quadro­tor Fleet Autonomous Nav­i­ga­tion; Fus­ing Vir­tu­al Points Con­trol and Non­lin­ear Poten­tial Fields
IEEE Trans­ac­tions on Con­trol Sys­tems Tech­nol­o­gy, 2025, 33 (3), pp.903–914. ⟨10.1109/TCST.2024.3517232⟩
Con­text-aware and Reli­able Long-term Deci­sion-Mak­ing for Safe Intel­li­gent Vehi­cles: A sur­vey
IEEE Trans­ac­tions on Intel­li­gent Vehi­cles, 2025, 10 (12), pp.5288–5307. ⟨10.1109/TIV.2024.3524881⟩
Ten­sion-based recon­fig­urable mul­ti-agent for­ma­tion for aer­i­al load trans­porta­tion
IEEE Access, 2025, 13, pp.114098–114116. ⟨10.1109/ACCESS.2025.3584623⟩
Vic­ar­i­ous Eval­u­a­tion of a Deci­sion Mod­el for Human-Agent Social Touch Inter­ac­tions
IEEE Trans­ac­tions on Affec­tive Com­put­ing, 2025, 16 (1), pp.277–289. ⟨10.1109/TAFFC.2024.3433009⟩
Did she just tap me? »: Qual­i­fy­ing Mul­ti­sen­so­ry Feed­back for Social Touch dur­ing Human-Agent Inter­ac­tion in Vir­tu­al Real­i­ty
Fron­tiers in Vir­tu­al Real­i­ty, 2025, 6, ⟨10.3389/frvir.2025.1718198⟩
Enhanc­ing Auto­mo­tive User Expe­ri­ence with Dynam­ic Ser­vice Orches­tra­tion for Soft­ware Defined Vehi­cles
IEEE Trans­ac­tions on Intel­li­gent Trans­porta­tion Sys­tems, 2025, 26 (1), pp.824–834. ⟨10.1109/TITS.2024.3485487⟩

CONTACTS

Head | Pedro Castil­lo
Tél : 03 44 23 46 17
Mail : pedro.castillo@hds.utc.fr

Deputy head | Reine Talj
Tél : 03 44 23 46 31
Mail : reine.talj@hds.utc.fr