Publications (HCERES style)

Peer-Reviewed Journal Papers (ACL)

  1. A. N. André, P. Sandoz, B. Mauzé, M. Jacquot, and G. J. Laurent, “Robust phase-based decoding for absolute (X, Y, Θ) positioning by vision,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1–12, 2020.
  2. A. N. André, P. Sandoz, B. Mauzé, M. Jacquot, and G. J. Laurent, “Sensing One Nanometer over Ten Centimeters: A Micro-Encoded Target for Visual In-Plane Position Measurement,” IEEE/ASME Transactions on Mechatronics, vol. 25, no. 3, pp. 1193–1201, 2020.
  3. B. Mauzé et al., “Nanometer Precision With a Planar Parallel Continuum Robot,” IEEE Robotics and Automation Letters, vol. 5, no. 3, pp. 3806–3813, 2020.
  4. M. Asmad Vergara, M. Jacquot, G. J. Laurent, and P. Sandoz, “Digital Holography as Computer Vision Position Sensor with an Extended Range of Working Distances,” Sensors, vol. 18, no. 7, 2018.
  5. W. Haouas, R. Dahmouche, N. Le Fort-Piat, and G. J. Laurent, “A New Seven Degrees-of-Freedom Parallel Robot With a Foldable Platform,” Journal of Mechanisms and Robotics, vol. 10, no. 4, 2018.
  6. W. Haouas, R. Dahmouche, J. Agnus, N. Le Fort-Piat, and G. J. Laurent, “New integrated silicon-PDMS process for compliant micro-mechanisms,” Journal of Micromechanics and Microengineering, vol. 27, no. 12, 2017.
  7. V. Guelpa, G. J. Laurent, B. Dahroug, and N. Le Fort-Piat, “Modular Contact-Free Conveyors for Handling Planar Fragile Objects,” IEEE Transactions on Robotics, vol. 33, no. 1, pp. 92–101, 2016.
  8. V. Guelpa, P. Sandoz, M. A. Vergara, C. Clévy, N. Le Fort-Piat, and G. J. Laurent, “2D visual micro-position measurement based on intertwined twin-scale patterns,” Sensors and Actuators A: Physical, vol. 248, pp. 272–280, 2016.
  9. N. Tan, C. Clévy, G. J. Laurent, and N. Chaillet, “Compressive Sensing-Based Metrology for Micropositioning Stages Characterization,” IEEE Robotics and Automation Letters, vol. 1, no. 2, pp. 638–645, 2016.
  10. N. Tan, C. Clévy, G. J. Laurent, P. Sandoz, and N. Chaillet, “Accuracy Quantification and Improvement of Serial Micropositioning Robots for In-Plane Motions,” IEEE Transactions on robotics, vol. 31, no. 6, pp. 1497–1507, Dec. 2015.
  11. V. Guelpa, G. J. Laurent, P. Sandoz, and C. Clévy, “Vision-Based Microforce Measurement with a Large Range-to-Resolution Ratio using a Twin-Scale Pattern,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 6, pp. 3148–3156, 2015.
  12. A. Kudryavtsev, G. J. Laurent, C. Clévy, B. Tamadazte, and P. Lutz, “Analysis of CAD Model-based Visual Tracking for Microassembly using a New Block Set for MATLAB/Simulink.,” International Journal of Optomechatronics, vol. 9, no. 4, pp. 295–309, 2015.
  13. G. J. Laurent and H. Moon, “A survey of non-prehensile pneumatic manipulation surfaces: principles, models and control,” Intelligent Service Robotics, vol. 8, no. 3, pp. 151–163, 2015.
  14. V. Guelpa, G. J. Laurent, P. Sandoz, J. Galeano Zea, and C. Clévy, “Subpixelic Measurement of Large 1D Displacements: Principle, Processing Algorithms, Performances and Software,” Sensors, vol. 14, no. 3, pp. 5056–5073, 2014.
  15. G. J. Laurent, A. Delettre, R. Zeggari, R. Yahiaoui, J.-F. Manceau, and N. Le Fort-Piat, “Micropositioning and Fast Transport Using a Contactless Micro-Conveyor,” Micromachines, vol. 5, no. 1, pp. 66–80, 2014.
  16. J. Agnus et al., “Robotic microassembly and micromanipulation at FEMTO-ST,” Journal of Micro-Bio Robotics, vol. 8, pp. 91–106, 2013.
  17. J. Galeano Zea, P. Sandoz, G. J. Laurent, L. Lopes Lemos, and C. Clévy, “Twin-scale Vernier Micro-pattern for Visual Measurement of 1-D in-plane Absolute Displacements with Increased Range-to-Resolution Ratio,” International Journal of Optomechatronics, vol. 7, no. 3, pp. 222–234, 2013.
  18. B. Piranda, G. J. Laurent, J. Bourgeois, C. Clévy, S. Möbes, and N. Le Fort-Piat, “A new concept of planar self-reconfigurable modular robot for conveying microparts,” IFAC Mechatronics, vol. 23, no. 7, pp. 906–915, 2013.
  19. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Independent Reinforcement Learners In Cooperative Markov Games: A Survey Regarding Coordination Problems,” The Knowledge Engineering Review, vol. 27, pp. 1–31, 2012.
  20. I. A. Ivan, M. Ardeleanu, and G. J. Laurent, “High Dynamics and Precision Optical Measurement Using a Position Sensitive Detector (PSD) in Reflection-Mode: Application to 2D Object Tracking over a Smart Surface,” Sensors, vol. 12, no. 12, pp. 16771–16784, 2012.
  21. A. Delettre, G. J. Laurent, Y. Haddab, and N. Le Fort-Piat, “Robust control of a planar manipulator for flexible and contactless handling,” IFAC Mechatronics, vol. 22, no. 6, pp. 852–861, 2012.
  22. G. J. Laurent, L. Matignon, and N. Le Fort-Piat, “The World of Independent Learners is not Markovian,” Innovation in Knowledge-Based & Intelligent Engineering Systems, vol. 15, no. 1, pp. 55–64, 2011.
  23. G. J. Laurent, A. Delettre, and N. Le Fort-Piat, “A new aerodynamic traction principle for handling products on an air cushion,” IEEE Transactions on robotics, vol. 27, no. 2, pp. 379–384, 2011.
  24. L. Matignon, G. J. Laurent, N. Le Fort-Piat, and Y.-A. Chapuis, “Designing decentralized controllers for distributed-air-jet MEMS-based micromanipulators by reinforcement learning,” Journal of Intelligent and Robotic Systems, vol. 59, no. 2, pp. 145–166, 2010.

Book Chapters (COS)

  1. G. Laurent, “On-Line Learning for Micro-Object Manipulation,” in Markov Decision Processes in Artificial Intelligence, O. Sigaud and O. Buffet, Eds. Wiley-ISTE, 2010.
  2. G. Laurent, “Apprentissage en ligne de la manipulation de micro-objets,” in Processus décisionnels de Markov en intelligence artificielle : volume 1, principes généraux et applications, O. Buffet and O. Sigaud, Eds. Hermès Science Publications, 2008, pp. 221–232.

Patents (BRE)

  1. G. Laurent, R. Dahmouche, W. Haouas, and N. Piat, “Parallel robotic wrist with four degrees of freedom,” no. WO2018/065734, Apr. 2018.

International Conference Proceedings (ACTI)

  1. A. N. André, P. Sandoz, M. Jacquot, and G. J. Laurent, “Robust, precise and scalable: A phase-encoded pattern for visual X, Y, Θ positioning,” in Proc. of the IEEE Int. Conf. on Manipulation, Automation and Robotics at Small Scales (MARSS), 2020, pp. 1–5.
  2. B. Mauzé, R. Dahmouche, C. Clévy, P. Sandoz, F. Hennebelle, and G. J. Laurent, “Visual Measurements at Small Scales: Guidelines to Reduce Uncertainties down to a Few Nanometers,” in Proc. of the IEEE Int. Conf. on Manipulation, Automation and Robotics at Small Scales (MARSS), 2020, pp. 1–6.
  3. V. Placet et al., “Transverse compressive properties of natural fibers determined using micro mechatronic systems and 2D full-field measurements,” in Materials Today: Proceedings of the 4th Int. Conf. on Natural FIbers (ICNF 2019), Porto, Portugal, 2020.
  4. W. Haouas, G. J. Laurent, S. Thibaud, and R. Dahmouche, “Kinematics, Design and Experimental Validation of a Novel Parallel Robot for Two-Fingered Dexterous Manipulation,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2019, pp. 6763–6768.
  5. C. Clévy et al., “In-situ Versatile Characterization of Carbon NanoTubes using Nanorobotics,” in Proc. of the IEEE Int. Conf. on Manipulation, Automation and Robotics at Small Scales (MARSS), 2019, pp. 1–6.
  6. M. Ourak, B. Tamadazte, G. J. Laurent, and N. Andreff, “Geometric Calibration of an OCT Imaging System,” in Proc. of the IEEE Int. Conf. on Robotics and Automation, 2018, pp. 3993–3999.
  7. M. Jacquot, M. Asmad Vergara, G. Laurent, and P. Sandoz, “Frequency domain processing of digital holograms applied to high-accurate vision-based position control in micro-robotics,” in SPIE Photonics West, 2018, vol. 10558.
  8. W. Haouas, R. Dahmouche, and G. J. Laurent, “Analysis of an Integrated 4-DoF Parallel Wrist for Dexterous Gripping,” in Proc. of the IEEE Int. Conf. on Automation Science and Engineering, 2018, pp. 1448–1453.
  9. P. Sandoz et al., “Enlarging computer-vision sensing-capabilities using pseudo-periodic patterns,” in Latin America Optics and Photonics Conference (Optical Society of America), 2018.
  10. V. Guelpa et al., “3D-printed vision-based micro-force sensor dedicated to in situ SEM measurements,” in Proc. of the IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, 2017, pp. 424–429.
  11. Y. Baran, K. Rabenorosoa, G. J. Laurent, P. Rougeot, N. Andreff, and B. Tamadazte, “Preliminary Results on OCT-based Position Control of a Concentric Tube Robot,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2017, pp. 3000–3005.
  12. M. Asmad Vergara, M. Jacquot, G. J. Laurent, and P. Sandoz, “In-plane position and orientation measurement of a mobile target by digital holography,” in Latin America Optics and Photonics Conference (Optical Society of America), 2016.
  13. V. Guelpa, P. Sandoz, C. Clévy, N. Le Fort-Piat, and G. J. Laurent, “Pattern-based vision for microrobotic manipulators calibration and servoing,” in International Conference on Ubiquitous Robots and Ambient Intelligence, 2016, pp. 308–310.
  14. V. Guelpa, G. J. Laurent, B. Tamadazte, P. Sandoz, N. Le Fort-Piat, and C. Clévy, “Single frequency-based visual servoing for microrobotics applications,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2016, pp. 4274–4279.
  15. W. Haouas, R. Dahmouche, N. Le Fort-Piat, and G. J. Laurent, “4-DoF spherical parallel wrist with embedded grasping capability for minimally invasive surgery,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2016, pp. 2363–2368.
  16. B. Komati et al., “Automated robotic microassembly of flexible optical components,” in Proc. of the IEEE International Symposium on Assembly and Manufacturing (ISAM), 2016, pp. 93–98.
  17. M. Ourak, A. De Simone, B. Tamadazte, G. J. Laurent, A. Menciassi, and N. Andreff, “Automated in-plane OCT-probe positioning towards repetitive optical biopsies,” in Proc. of the IEEE Int. Conf. on Robotics and Automation, 2016, pp. 4186–4191.
  18. B. Dahroug, G. J. Laurent, V. Guelpa, and N. Le Fort-Piat, “Design, modeling and control of a modular contactless wafer handling system,” in Proc. of the IEEE Int. Conf. on Robotics and Automation, 2015, pp. 976–981.
  19. A. V. Kudryavtsev, G. J. Laurent, C. Clévy, B. Tamadazte, and P. Lutz, “Stereovision-based control for automated MOEMS assembly,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2015, pp. 1391–1396.
  20. N. Tan, C. Clévy, G. J. Laurent, P. Sandoz, and N. Chaillet, “Characterization and Compensation of XY Micropositioning Robots using Vision and Pseudo-Periodic Encoded Patterns,” in Proc. of the IEEE Int. Conf. on Robotics and Automation, Hong Kong, China, 2014, pp. 2819–2824.
  21. A. V. Kudryavtsev, G. J. Laurent, C. Clévy, B. Tamadazte, and P. Lutz, “Characterization of Model-based Visual Tracking Techniques for MOEMS using a New Block Set for MATLAB/Simulink,” in Proc. of the IEEE Int. Symp. on Optomechatronic Technologies, Seattle, USA, 2014.
  22. O. Matusek, V. Hotar, G. J. Laurent, B. Tamadazte, and C. Clévy, “Characterization of the Positioning Accuracy and Precision of MEMS Die Servoing Using Model-Based Visual Tracking,” in International Robtep Conference, Strbské Pleso, Vysoké Tatry, Slovakia, 2014, vol. 613, pp. 426–433.
  23. S. Möbes, B. Piranda, G. J. Laurent, J. Bourgeois, C. Clévy, and N. Le Fort-Piat, “Toward a 2D Modular and Self-Reconfigurable Robot for Conveying Microparts,” in Proc. of the IEEE dMEMS Workshop on Design, Control and Software Implementation for Distributed MEMS, 2012, pp. 7–13.
  24. A. Delettre, G. J. Laurent, N. Le Fort-Piat, and C. Varnier, “3-DoF potential air flow manipulation by inverse modeling control,” in Proc. of the IEEE Int. Conf. on Automation Science and Engineering, 2012, pp. 926–931.
  25. J. Galeano Zea, P. Sandoz, G. J. Laurent, L. Lopes Lemos, and C. Clévy, “Twin-scale Vernier Micro-Pattern for Visual Measurement of 1D in-plane Absolute Displacements with Increased Range-to-Resolution Ratio,” in Proc. of the IEEE Int. Symp. on Optomechatronic Technologies, 2012, pp. 1–6.
  26. I. A. Ivan, M. Ardeleanu, G. J. Laurent, N. Tang, and C. Clévy, “The metrology and applications of PSD (position sensitive detector) sensors for microrobotics,” in Proc. of the IEEE Int. Symp. on Optomechatronic Technologies, 2012, pp. 1–2.
  27. N. Tan, C. Clévy, G. J. Laurent, and N. Chaillet, “Calibration and Validation of XYT Micropositioners with Vision,” in Proc. of the IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, 2012, pp. 256–261.
  28. A. Delettre, G. J. Laurent, and N. Le Fort-Piat, “2-DoF Contactless Distributed Manipulation Using Superposition of Induced Air Flows,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2011, pp. 5121–5126.
  29. K. Boutoustous, G. J. Laurent, E. Dedu, L. Matignon, J. Bourgeois, and N. Le Fort-Piat, “Distributed control architecture for smart surfaces,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2010, pp. 2018–2024.
  30. A. Delettre, G. J. Laurent, and N. Le Fort-Piat, “A new contactless conveyor system for handling clean and delicate products using induced air flows,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2010, pp. 2351–2356.
  31. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2009, pp. 3277–3283.
  32. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Hysteretic Q-Learning : an algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, San Diego, CA, USA, 2007, pp. 64–69.
  33. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning,” in Proc. of the Int. Conf. on Artificial Neural Networks, 2006, vol. 4131, pp. 840–849.
  34. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Improving Reinforcement Learning Speed for Robot Control,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Beijing, China, 2006, pp. 3172–3177.
  35. C. Adda, G. J. Laurent, and N. Le Fort-Piat, “Learning to control a real micropositioning system in the STM-Q framework,” in Proc. of the IEEE Int. Conf. on Robotics and Automation, Barcelone, Spain, 2005, pp. 4580–4585.
  36. G. J. Laurent and E. Piat, “Learning Mixed Behaviours with Parallel Q-learning,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Lausanne, Switzerland, 2002, vol. 1, pp. 1002–1007.
  37. G. Laurent and E. Piat, “Parallel Q-Learning for a block-pushing problem,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Maui, USA, 2001, vol. 1, pp. 286–291.
  38. G. Laurent and E. Piat, “Efficiency of Swimming Microrobots using Ionic Polymer Metal Composite Actuators,” in Proc. of the IEEE Int. Conf. on Robotics and Automation, Seoul, Korea, 2001, pp. 3914–3919.

Invited Talks (INV)

  1. V. Guelpa, P. Sandoz, C. Clévy, N. Le Fort-Piat, and G. J. Laurent, “Pattern-based vision for microrobotic manipulators calibration and servoing,” in International Conference on Ubiquitous Robots and Ambient Intelligence, 2016, pp. 308–310.

Special Issues Editing (DOR)

  1. B. Zanuttini, G. Laurent, and O. Buffet, Eds., Apprentissage par renforcement et planification adaptative, vol. 27, no. 2. Lavoisier, 2013.

Talks in International Conferences & Workshops (COMI)

  1. A. N. André, P. Sandoz, B. Mauzé, M. Jacquot, and G. J. Laurent, “Sensing One Nanometer Over Ten Centimeters: A Microencoded Target for Visual In-Plane Position Measurement,” in Proc. of the IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, Boston, USA, 2020.
  2. M. Jacquot et al., “The shape of light: how to measure, control and compute complexity?,” in 18th Workshop on Information Optics (WIO 2019), Stockholm, Sweden, 2019.
  3. W. Haouas, R. Dahmouche, and G. J. Laurent, “Design and Fabrication of a 7-DoF Miniature Mechanism with Soft Joints,” in IEEE International Conference on Soft Robotics (RoboSoft), Livorno, Italy, 2018.
  4. M. Ourak, B. Tamadazte, G. J. Laurent, R. Kanty, and N. Andreff, “Image Distortion Compensation in Optical Coherence Tomography,” in Hamlyn Symposium on Medical Robotics, London, UK, 2018.
  5. M. Jacquot, M. A. Asmad Vergara, G. Laurent, and P. Sandoz, “Multiscale lensless visual position sensing by digital holography,” in 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference, Munich, Germany, 2017.
  6. V. Guelpa, P. Sandoz, C. Clévy, N. Le Fort-Piat, and G. J. Laurent, “Twin-Scale Visual Method for Nanoposition and Microforce Measurements with Large Range-to-Resolution Ratio,” in International Conference on Manipulation, Automation and Robotics at Small Scales, Paris, France, 2016.
  7. G. J. Laurent, “Contactless Manipulation with Airflow: from Macro to Micro Devices,” in Workshop on merging micro and macro manipulation and manufacturing technologies and methods, joint to AIM, Besançon, France, 2014.
  8. A. Habibi, E. Dedu, J. Bourgeois, G. J. Laurent, and N. Le Fort-Piat, “Distributed Pneumatic MEMS for Fast Conveyance of Fragile Objects,” in Junior Researcher Workshop on Real-Time Computing (JRWRTC’12), joint to RTNS, Pont-à-Mousson, France, 2012.
  9. A. Delettre, G. J. Laurent, N. Le Fort-Piat, and C. Varnier, “3-DoF contactless manipulation using potential air flows,” in microControl’12 Workshop, New Trends and Challenges in Modeling and Control of Microsystems, Besançon, France, 2012.
  10. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “A study of FMQ heuristic in cooperative multi-agent games,” in Int. Conf. on Autonomous Agents and Multiagent Systems, Multi-Agent Sequential Decision Making in Uncertain Multi-Agent Domains Workshop, Estoril, Portugal, 2008, pp. 77–91.
  11. C. Adda, N. Le Fort-Piat, and G. Laurent, “Micropositioning by pushing with control by reinforcement learning,” in 35th International Symposium on Robotics, Paris, France, 2004.
  12. G. J. Laurent and E. Piat, “Learning to control real systems with parallel Dyna-Q,” in 6th European Workshop On Reinforcement Learning, Nancy, France, 2003, pp. 45–46.
  13. G. Laurent and E. Piat, “Control of planar micro-manipulator systems using reinforcement learning,” in 3rd European-Asian Mecatronics Congress, Besançon, France, 2001, pp. 411–416.

Peer-Reviewed French Journal Papers (ACLN)

  1. Y. Haddab, B. Lang, and G. Laurent, “Matlab/Simulink pour l’analyse et la commande de systèmes,” Techniques de l’ingénieur, vol. TIB394DUO, no. s7460, pp. 1–16, 2010.
  2. G. J. Laurent and E. Piat, “Apprentissage par renforcement dans le cadre des processus décisionnels de Markov factorisés observables dans le désordre,” Revue d’Intelligence Artificielle, vol. 20, pp. 275–309, 2006.
  3. G. J. Laurent and E. Piat, “Conception et modélisation d’un microrobot nageur,” Journal Européen des Systèmes Automatisés, vol. 37, no. 1, pp. 31–48, 2003.

French Conference Proceedings (ACTN)

  1. F. Amiot et al., “Détermination des propriétés mécaniques transverses de fibres par compression diamétrale et mesures de champs de déplacement,” in 24ème Congrès Français de Mécanique, Brest, France, 2019, p. 3.
  2. G. Laurent, “Mise en pratique de LSPI pour la commande linéaire quadratique adaptative d’une surface de manipulation à coussin d’air actif,” in Journées Francophones sur la Planification, la Décision et l’Apprentissage pour la conduite de systèmes, Besançon, 2010.
  3. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “SOaN: un algorithme pour la coordination d’agents apprenants et non communicants,” in Journées Francophones sur la Planification, la Décision et l’Apprentissage pour la conduite de systèmes, Paris, 2009, pp. 115–121.
  4. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Un algorithme décentralisé d’apprentissage par renforcement multi-agents coopératifs : le Q-Learning Hystérétique,” in Journées Francophones sur la Planification, la Décision et l’Apprentissage pour la conduite de systèmes, Grenoble, 2007, pp. 115–121.
  5. L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Choix de la fonction de renforcement et des valeurs initiales pour accélérer les problèmes d’apprentissage par renforcement de plus court chemin stochastique,” in Journées Francophones sur la Planification, la Décision et l’Apprentissage pour la conduite de systèmes, Toulouse, 2006, pp. 107–114.
  6. G. J. Laurent and E. Piat, “Dyna-Q Parallèle,” in Journées Nationales sur les Processus Décisionnels de Markov et l’Intelligence Artificielle, Caen, 2003.
  7. G. Laurent and E. Piat, “Commande de micromanipulateurs plans par apprentissage par renforcement,” in 14èmes Journées des Jeunes Chercheurs en Robotique, Evry, 2001, pp. 20–25.

PhD Manuscripts (TH)

  1. W. Haouas, “Étude et développement de robots parallèles à plateformes configurables pour la micromanipulation dextre,” PhD thesis, Université de Bourgogne Franche-Comté, 2018.
  2. V. Guelpa, “Etalonnage et commande de microrobots par mesure visuelle sub-pixellique et multi- directionnelle,” PhD thesis, Université de Bourgogne Franche-Comté, 2017.
  3. A. Delettre, “Conception, modélisation et commande d’une surface de manipulation sans contact à flux d’air induit,” PhD thesis, Université de Franche-Comté, 2011.
  4. L. Matignon, “Synthèse d’agents adaptatifs et coopératifs par apprentissage par renforcement. Application à la commande d’un système distribué de micromanipulation,” PhD thesis, Université de Franche-Comté, Besançon, 2008.
  5. G. Laurent, “Synthèse de comportements par apprentissages par renforcement parallèles : application à la commande d’un micromanipulateur plan,” Thèse de doctorat, Université de Franche-Comté, Besançon, France, 2002.

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