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Pascal Morin

Pascal Morin

Professor

Center · CAOR

Discipline(s)
Signal, Image, Automatic Control, Robotics and Industrial Engineering

Awards & distinctions

  • 2025 Figurant dans la liste des "World’s Top 2% Scientists" publiée par l'université de Standford

Team

CAOR

Biography

Pascal Morin is a researcher specializing in robotics and control systems, whose work focuses on the development of control and estimation methods for robotic systems and autonomous vehicles. His research addresses a variety of topics, such as visual control, odometry based on aerodynamic sensors, the stabilization of underactuated systems, and the modeling and control of convertible drones and micro aerial vehicles (MAVs). Pascal Morin has contributed to significant advances in the design of nonlinear control algorithms, particularly for applications in computer vision, interaction with complex environments, and autonomous navigation. His work also includes innovative solutions for pose estimation, trajectory planning, and the management of friction-induced vibrations, with experimental validation on a variety of robotic platforms, ranging from robotic arms to drones and ground vehicles.

Publication(s)

Teaching

Applied Mathematics: Robotics, Computer Vision, and Control Systems (MAREVA) track

Guest Lecturer

Second-Year Curriculum The courses and educational activities offered in the second year are the same for all students who have chosen the MAREVA program and take place in Paris. The second-year curriculum focuses on the study of Complex Systems: discrete-time dynamic systems, filtering and identification, embedded sensors and data fusion, image processing, and medical imaging. This module is supplemented by introductory lectures on robotics and ITS, virtual reality and augmented reality, C++ programming and graphical programming sessions, as well as mini-project sessions conducted in pairs, supervised by researchers from the centers, and applying the concepts covered in class. Here are a few examples of mini-projects completed in recent years: lateral control (Lane Keeping, ESP) and longitudinal control of a vehicle (ACC); color-sensor-based control of a small car on a white line; evaluation of a consumer motion-capture system (the Wiimote); 3D point cloud registration for digital mapping; modeling and stabilization of a diver; image editing based on hierarchical segmentation; modeling and control of construction cranes; estimation and control algorithms for a mobile robot developed by SAGEM; development of parking algorithms, validation, and testing using 3D graphics software; implementation of human-environment interactions in a virtual kitchen. Third-Year Curriculum In the third year, the activities for the month of October remain the same for all students. The first two weeks in Paris are devoted to courses, notably on computer vision and image processing in the automotive context, on nonlinear control and its applications in robotics, on humanoid robots, on discrete-event systems, and on systems with delays.... A one-week intensive course in computer vision and mathematical morphology held in November rounds out the training for the Computer Vision and Robotics specializations. The last two weeks of October are dedicated to mini-projects (at a more advanced level than those in the second year), as well as to the optional field trip during which students visit laboratories and companies. Over the past four years, the trip has been organized to Italy and the Rhône-Alpes region (STMicroelectronics, ISPRA, INRIA Rhône-Alpes, LAG ...), in the Nice and Monaco region (INRIA Sophia-Antipolis, Thalès Alénia Space, the Automata Museum ...), in Germany in Stuttgart and Munich (Bosch, Mercedes, German Aerospace ...), and in Toulouse (CNES, LAAS, Pierre Fabre Laboratories...), and in Bordeaux (LABRI, LAPS, Laser MégaJoule, Thales, EvTronic, BeTomorrow...). These trips provide excellent opportunities to establish valuable contacts for elective internships in the third year. Internship topics for the third year are pooled and proposed equally by faculty members from the school’s various applied mathematics centers (CAOR, CAS, CMA, CMM), often in connection with their collaborative work with industry partners. It should be noted that each year, the number of internships offered far exceeds the number of students taking the elective! Some representative elective topics covered in recent years: Control Systems: Exo-atmospheric guidance of Ariane V – EADS (Control Systems); Signal processing using filter banks (IFP); Development of a method for analyzing ECG signals using inverse scattering (INRIA); Simulation and control of humanoid robots (ATR Computational Neuroscience Laboratory, Kyoto); Synthesis of flight control correctors for a supersonic aerobatic vehicle (ONERA); Validation of vehicle models for control and command (PSA) Quantification of maximum permissible disturbances on the control surfaces of a winged vehicle during atmospheric reentry (EADS) Parameter estimation for quantum systems (Princeton University) Optimization of electricity generation (EDF, Clamart) Sizing of natural gas transmission networks, (GdF Suez, Saint-Denis) Robotics: Computer Vision-Assisted Driving (INRIA/CAOR) Improving Road Safety and Comfort via Global Chassis Control (PSA) Identification of Available Traction for a Vehicle (NEXYAD, ARCOS project) Configuration of a force-feedback system in virtual reality (CEA/CAOR) Vehicle-to-infrastructure communication on highways (ASFA) Virtual vehicle coupling for convoy driving (INRIA) Development of a humanoid robot behavior editor (Aldebaran Robotics) Motion planning for humanoid robots (Joint Research Laboratory Tsukuba) Development of a social robot (Advanced Telecommunications Research, Kyoto) The Cybercars Olympics: a competition featuring smart vehicles on the “road of the future” in Saint-Brieuc (Côtes d’Armor General Council) Simulation and position estimation for a quadcopter drone (Parrot, Paris) Preparation of the French pavilion at the Shanghai World Expo on ITS Road traffic modeling, Millennium project (University of Berkeley) Neural algorithms for perception (MIT, Cambridge) Spherical vision sensor for autonomous mobile robotics (INRIA Sophia-Antipolis) Vision: Automatic image annotation (LTU, Paris) Indexing of medical images (CEA, Fontenay-aux-Roses) Environmental sensor for a telematics service (PSA, Vélizy) Segmentation of medical images for radiation therapy (Gustave Roussy Institute, Villejuif) Fingerprint image analysis (SAGEM, Eragny-sur-Oise) Analysis of sports video sequences (Thomson Broadcast, Breda, Netherlands) Compression/deconvolution optimization (Alcatel Space Industries, Cannes) Quantitative cytology and drug discovery (CSIRO, Sydney, Australia) 3D morphogenesis of the mouse kidney (Monash University, Clayton, Australia) Video scene interpretation (Bosch, Hildesheim, Germany) Geolocation of a landscape (Google Earth, USA) Quality control of photovoltaic glass (Saint-Gobain, China) Image analysis for studying the mechanical properties of bone (University of Adelaide, Australia) Special features of the track: Students greatly appreciate working on these mini-projects. It is an excellent way to deepen their understanding of and apply the concepts covered in class, as well as a great opportunity to meet researchers from the school’s various laboratories and gain their first—albeit limited—experience in the research environment.

PhD supervision

  • 2025 Swarm Drone Control for Collaborative Exploration COLOMBINI-LJUNGBERG Oliver