جستجوی استاد راهنمای دانشگاهی

Marie Babelمشاهده پروفایل

استاد

• Robotics
• Assistive Robotics
• Sensor-Based Servoing
• +۴ مورد دیگر

Marie Babel is a Full Professor at INSA Rennes, affiliated with the Rainbow team within IRISA/Inria. She specializes in assistive robotics, focusing on mobility aids for people with disabilities, including sensor-based servoing, haptic interfaces, and virtual reality applications. She leads major projects like the DORNELL Challenge and coordinates international collaborations, such as the ISI4NAVE team with University College London. Her academic Chair IH2A (Innovations, Disability, Autonomy, Accessibility) drives interdisciplinary research in assistive technologies. She holds a PhD in image processing (2005) and an habilitation in signal processing (2012). Teaching: Robotics, Image Processing, Mathematics for Engineers at INSA Rennes. Key Projects: ADAPT (€2M budget), H2020 Crowdbot, PRISME/Ambrougerien. Research Interests: Multimodal sensor-based systems, human-robot interaction, and clinical trials for assistive technologies. Notable contributions include wheelchair navigation assistance, wearable haptic feedback, and VR simulators. Awards: Best Paper at Eurohaptics 2022, Innovation Award at SOFMER 2019. Grants & Labs: Leads INSA's contributions to ADAPT and coordinates DORNELL Challenge. Active in Inria's research networks.

• Artificial Intelligence
• Machine Learning
• Robotics
• +۳ مورد دیگر

Chris Reinke is a researcher in Artificial Intelligence and Machine Learning at the CEA in Grenoble, France since 2025, focusing on Human-Centric Digital Twins and modeling human decision-making. His research interests include learning mechanisms, cognitive science, and developing adaptive algorithms for robots. Prior to CEA, he held postdoctoral positions at Inria Grenoble (RobotLearn team with Xavier Alameda-Pineda) and the Flowers team in Bordeaux under Pierre-Yves Oudeyer. He earned his PhD in Neural Computation at OIST under Kenji Doya, with earlier degrees in Cognitive Science from the University of Osnabrück. His work bridges theoretical AI with practical applications in robotics and healthcare, emphasizing systems that learn like humans. Notable contributions include research on successor features, meta reinforcement learning, and socially pertinent robotics in healthcare. He developed the exputils library for experiment management and organized events like the SoRAIM Winter School on Social Robotics (2024) and RL@Alpes symposium (2023).

Fabio Morbidiمشاهده پروفایل

دانشیار

• Robotic Vision
• Multi-robot Systems
• Event-Based Perception
• +۳ مورد دیگر

Fabio Morbidi is an Associate Professor (Maître de Conférences HDR) at the Université de Picardie Jules Verne (UPJV), France, where he heads the Robotic Perception group at the MIS laboratory since 2022. His office is located at 33 Rue Saint-Leu, Amiens. He holds a Ph.D. in Robotics and Automation from the University of Siena (2009) and conducted postdoctoral research at Northwestern University, University of Texas at Arlington, and Inria Grenoble. His research focuses on multi-robot systems, event-based vision, autonomous vehicles, and assistive robotics. Research interests span robotic vision, distributed control, and sensor fusion for applications in exploration, wheelchair assistance, and drone technology. His work emphasizes real-world implementations, such as the SpheriCol driving assistant for power wheelchairs and event-based perception for autonomous vehicles. Awards include ICRA'25 Best Paper Award Finalist and contributing to an IEEE RAM issue that received the APEX 2024 Awards of Excellence. He actively advises PhD students and coordinates ANR projects (e.g., CERBERE, DEVIN) focused on robotic perception. He serves as Associate Editor for IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

• Proof Assistants
• Formal Verification
• Inductive and Coinductive Reasoning
• +۶ مورد دیگر

Andrei Popescu is a Senior Lecturer in the Department of Computer Science at the University of Sheffield, specializing in formal verification and proof assistants. Previously, he held faculty positions at Middlesex University and TU Munich. University of Sheffield (2020–present) Middlesex University (2014–2020) TU Munich (2010–2020) His research focuses on proof assistants (Isabelle/HOL), inductive/coinductive reasoning, syntax with bindings, and information flow security. Key projects include CoCon (verified conference system) and CoSMeDis (confidentiality-verified social media). Recent publications address Gödel's incompleteness theorems, modular (co)datatypes, and security verification. Awards include POPL Distinguished Paper Awards (2023–2025) and the RS 3 Best Paper Award (2012–2013). He teaches courses on software/hardware verification and previously taught decision support systems, web development, and verification techniques. Andrei is actively involved in conference organization and program committees, including POPL, ITP, and CSF.

Eric Lecolinetمشاهده پروفایل

استاد

• Human-Computer Interaction
• Touch and Tactile Interfaces
• Gesture-Based Interaction
• +۵ مورد دیگر

Professor Eric Lecolinet is a faculty member at Télécom Paris, Institut Polytechnique de Paris, leading the DIVA (Design, Interaction, Visualization & Applications) research team within the LTCI laboratory. He is also President of the French-speaking Human-Machine Interaction Association ( AFIHM ). Education & Qualifications He earned his Habilitation à diriger des recherches (HDR) in 2018 from Université Paris-Saclay, specializing in Computer Science and Human-Computer Interaction, with a thesis entitled “Making Interaction Gestural: Expressivity and Memorability of Gestures” . Research Interests His research spans: Touch and tactile interfaces, including artificial skin and multi-modal feedback. Graphical and gestural user interfaces for mobile, wearable, and immersive systems. Virtual and augmented reality interaction techniques, with emphasis on safety and memory effects. Interactive visualization and novel display platforms, notably the Digiscope high-performance visualization network. Publications & Trends Over the past five years, Professor Lecolinet’s work has concentrated on: Understanding and designing haptic interfaces that leverage artificial skin (Skin-On) and pneumatic feedback for affective communication. Exploring security and ethical implications of perceptual manipulations in VR, including memory distortions and physical risks. Developing compact gesture vocabularies for small surfaces and confined spaces, combining marking menus, finger-count shortcuts, and multi-modal feedback. Scientific Awards & Honors No specific awards are listed in the provided material, but he is recognized through leadership roles: President of AFIHM, member of the LTCI laboratory council, and scientific head of Télécom Paris Fablab. Teaching & Advising He directs the Master Interaction, Graphics & Design (IGD) at IP Paris and co-directs the 3D & Interactive Systems engineering track (IGR). He teaches courses on: Human-Computer Interaction Interactive 2D/3D and mobile application development Programming paradigms (C/C++, Qt, Swing) Current PhD students include Yang Liu and Elise Bonnail . Labs & Teams He leads the DIVA group (≈25 researchers) and oversees the PIXLS and IRIS platforms within the Equipex+ Continuum and former Digiscope networks. He also manages the Télécom Paris Fablab , a digital fabrication laboratory serving both research and education.

Antonio LORIAمشاهده پروفایل

پژوهشگر

• Automation
• Robotics
• Applied Mathematics
• +۴ مورد دیگر

Antonio LORIA is a Senior Researcher (DR1) at the CNRS, affiliated with the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec in France. His primary research discipline is Automation, focusing on control systems, robotics, and nonlinear dynamics. He holds a DEA and PhD from UTC, France, and has held CNRS positions since 1999, advancing through ranks to his current role. LORIA’s work emphasizes multi-agent systems, networked control, and formation control, with applications in robotics and autonomous systems. Education: Born in Mexico (1969), he studied Electronic Systems Engineering at ITESM, Mexico, followed by a DEA (1993) and PhD (1996) in Automation from UTC. Postdoctoral studies at the University of Twente (Netherlands), NTNU (Norway), and UC Santa Barbara (USA). Research Interests: Automation, robotics, nonlinear control, stability theory, and consensus algorithms. His recent work includes strict Lyapunov function design, robust formation control, and adaptive estimation for hybrid systems. Publications: Over 100 journal and conference articles on topics like consensus algorithms, multi-agent systems, and nonlinear control. Recent work (2024–2025) includes studies on bipartite formation control, hybrid networks, and robust adaptive estimation. Grants & Leadership: Led or participated in projects funded by the EU, ANR, and CNRS. Served on evaluation committees for French and international research agencies (ANR, MINES, ANID, UEFISCDI). Associate editor for journals like IEEE Trans. on Automatic Control and Automatica . Students & Mentoring: Supervised 14 PhD students and 4 postdocs, many now in academia or industry roles. His advisees hold positions at CentraleSupélec, CNRS, and universities in Mexico, the Netherlands, and elsewhere. Labs & Groups: Active member of L2S research teams such as MODESTY (Modeling for Control), COMEDY (Dynamic Systems), and SYCOMORE (Robust Control). Involved in transverse research axes like Energy and Future Industry.

Pedro Castilloمشاهده پروفایل

پژوهشگر

• Nonlinear Control
• Robust Control
• Reactive Control
• +۷ مورد دیگر

Pedro Castillo is a DR CNRS Researcher at the Heudiasyc laboratory within the University of Technology of Compiègne, France. He leads the SyRI team (Systèmes Robotiques en Interaction) and oversees drone-related activities at the laboratory. His research focuses on nonlinear control, robust navigation, multi-agent systems, and resilient control strategies for unmanned aerial vehicles (UAVs). He has contributed significantly to the theoretical and experimental validation of control schemes for under-actuated systems, emphasizing real-time implementation on robotic platforms. His work bridges theoretical advancements and practical applications, particularly in aerial robotics and cooperative control architectures. Dr. Castillo has supervised 19 PhD students (15 defended, 3 ongoing, and 1 cotutelle), managed 29 research projects, and organized over 50 seminars at Heudiasyc. He is an Associate Editor for the IEEE Robotics and Automation Letters (2020–2024) and has participated in numerous academic committees, including ANR and HCERES evaluations. His research has resulted in over 170 scientific publications, including two influential books on aerial vehicle modeling and control. Key contributions include the design of resilient control algorithms, multi-agent coordination frameworks, and hardware prototypes such as the PVTOL, octarotor, and ROMEO quadrotor. His work has been showcased at international conferences and trade fairs, solidifying Heudiasyc's reputation as a leader in UAV control research.

Lennart Rubbertمشاهده پروفایل

مدرس

• Mechatronics
• Robotics
• Biomedical Engineering
• +۶ مورد دیگر

Lennart Rubbert is a Lecturer in the Department of Mechanical Engineering at INSA Strasbourg. He serves as Head Teacher for 5th-year mechatronics (MIQ) students and acts as Contact Person for SST, PSSM, and VSSH programs. His office is located in T1.23 on the ground floor of the mechanical platform mezzanine. His research focuses on advanced mechatronics, robotics, and biomedical engineering applications. Key areas include compliant mechanism design, soft robotics, and surgical device innovation. He leads the Robotics, Data Science and Healthcare Technologies (RDH) research unit at ICube, overseeing projects like the ARC steerable needle system (SATT Conectus) and the Origabot ANR project exploring origami-inspired robotics. Current research initiatives include: EndoFlex : Labex-CAMI funded work on flexible endoscopic configurations 3D-printed soft robots : Normalien scholarship-supported projects He has advised students including John BERRE (OrigaBot thesis), Benjamin CALMÉ (EndoFlex), and Loïc MOSSER (3D-printed soft robots). His 2017 book The Art of Flexure Mechanism Design remains a foundational text in compliant mechanism studies. Technical contributions span laser profilometry for silicone deposition, genetic algorithm-driven soft actuator design, and ROS2 integration in additive manufacturing systems. He actively collaborates through partnerships like SATT Conectus and ANR grants.

Simon Bliudzeمشاهده پروفایل

پژوهشگر

• Robotics
• Formal Methods
• Modular Systems Design
• +۳ مورد دیگر

Simon Bliudze is a Junior Researcher and HDR Research Officer at the Inria Center at the University of Lille , affiliated with the SPIRALS Project-Team . His work focuses on formal methods for system design, modular robotics, and control algorithms. He contributes to projects involving hierarchical control systems, energy management in modular robots, and dynamic reconfiguration frameworks like BIP/DR-BIP. Collaborations include co-supervision of research internships with colleagues such as Olga Kouchnarenko and Sophie Cerf. Research interests encompass rigorous system modeling, component-based design, and the integration of random shape generation into modular robot frameworks. His projects address challenges in energy distribution, dynamic reconfiguration, and validation of complex systems through simulation tools. Work includes developing simulators for evaluating control policies and advancing open-source tools like the BIP compiler. Key contributions involve bridging theoretical formalisms with practical implementations, particularly in robotics and IoT systems. Projects like the EX-PATRIA database initiative (though contextually less prominent in technical work) highlight interdisciplinary engagement. No specific awards are mentioned, but his role in academic collaborations and tool development underscores his active research profile.

Cristina Vladمشاهده پروفایل

دانشیار

• Model Predictive Control
• Optimization-based Control
• Cooperative Control of Multi-Agent Systems
• +۳ مورد دیگر

Cristina Vlad is an Associate Professor at CentraleSupélec (Université Paris-Saclay), affiliated with the L2S laboratory (CNRS, CentraleSupélec, Université Paris-Saclay). She holds a position in the Control Department and is part of the SYCOMORE team, focusing on robust and constrained control of complex systems. She obtained her PhD in Automatic Control from Supélec (2013) and has been qualified as a lecturer by the French CNU (section 61) in 2021. Her research interests include Model Predictive Control (MPC), optimization-based control strategies, cooperative control of multi-agent systems, and energy management for hybrid systems. She has supervised PhD students in topics such as multi-source energy systems, UAV deployment, and hybrid electric vehicle optimization. She actively contributes to educational initiatives, teaching core modules in 'Model Representation and Analysis,' 'Automatic Control,' and 'Control Architectures of Complex Systems.' Her work bridges theoretical control methods with industrial applications, particularly in power electronics, energy systems, and robotics. She has co-authored over 20 peer-reviewed articles and book chapters, with recent focus on zinc-air flow cell modeling, UAV formation control, and MPC for multi-source systems. She collaborates with industry partners like Sherpa Engineering and contributes to international conferences on control engineering education and advanced control systems.

• Cognitive Sciences
• Evolutionary Biology
• Linguistics
• +۳ مورد دیگر

Jean-Louis Dessalles is a Professor at the Institut Polytechnique de Paris, affiliated with the School of Computer Science and the Department of Cognitive Sciences. His research focuses on the intersection of cognitive science, evolutionary biology, and artificial intelligence, particularly the evolutionary origins of language, computational models of human cognition, and algorithmic information theory. He is a co-founder of the Simplicity Theory framework, which explains cognitive processes through principles of complexity minimization. Key contributions include books such as Why We Talk: The Evolutionary Origins of Language and Des Intelligences Très Artificielles , which explore language evolution and AI limitations. His work spans interdisciplinary areas like social signaling, causal reasoning in cyber-physical systems, and the philosophical implications of consciousness and responsibility. Recent research emphasizes applications of simplicity theory to AI, causal learning in smart environments, and the biological foundations of communication. Dessalles has pioneered methods for explainable AI in complex systems, focusing on decentralized architectures for smart homes and urban traffic management.

• Robotics
• Cyber-Physical Systems
• Control Theory
• +۳ مورد دیگر

Associate Professor at INSA Strasbourg, affiliated with ICube research laboratory (UMR 7357), specializing in frugal design and control of embedded cyber-physical and robotic systems with limited resources, with particular expertise in non-periodic sampling using event-driven techniques. His research spans critical domains including: Robotics (UAV control, swarm systems, aerial manipulators) Cyber-Physical Systems (resource-constrained implementations) Control Theory (nonlinear stabilization, event-driven feedback) Embedded Systems (system-on-chip, real-time optimization) Event-Driven Systems (acoustic localization, aperiodic sampling) Frugal Design (energy-efficiency, miniaturization) Current research projects feature: eSWARM: Modular UAV swarm control (ICube-funded, 2023-2025) muteSWARM: Acoustic-based swarm formation (ANR-funded with GIPSA-lab/ISM, 2023-2027) STRAD: Street art drone development (ANR-funded with Polyvionics/Spacejunk, 2022-2026) TIR4sTREEt: Urban thermal monitoring (ANR-funded with INRAE, 2022-2026) dark-NAV: GPS-denied navigation via photolocation (ANR-funded, 2021-2025) dextAIR robot: Omnidirectional aerial manipulator platform (ICube, 2019-present) His PhD students have secured prestigious awards: M. Pivert: Best Student Paper Award, IFAC Robotics Symposium (2025) T. Paul: i-PhD Innovation Contest for OptHySource (2022) A. Yiğit: Best PhD Award (GdR Robotique) and Best Video Award (2020-2021) A. Vega-Alonzo: Best Paper Award, IEEE EBCCSP (2019) B. Boisseau: Best Paper Award, IEEE EBCCSP (2015) He actively participates in major robotics forums including the French Congress of Mechanics (2025), International Micro Air Vehicles Conference (2025), and ROSCon France & Germany (2025).

• Robotics
• Machine Learning
• Reinforcement Learning
• +۴ مورد دیگر

Nicolas Perrin-Gilbert is a CNRS Research Fellow at the Institute of Intelligent Systems and Robotics (ISIR), which is part of Sorbonne University in Paris, France. He has been working at ISIR since 2013 as part of the MLIA (Machine Learning and Artificial Intelligence) team, where he conducts research at the intersection of robotics and machine learning. His office is located at ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris. Dr. Perrin-Gilbert's research focuses on developing advanced algorithms for robot locomotion, control, and learning. His work bridges theoretical machine learning with practical robotics applications, particularly in reinforcement learning, motion planning, and humanoid robotics. He has made significant contributions to quality-diversity algorithms, state representation learning, and controller synthesis for dynamic multi-agent systems. His approach often combines insights from control theory with modern machine learning techniques to solve complex robotics challenges. His publication record shows consistent research output since 2010, with a notable acceleration in recent years. His work spans both theoretical contributions (such as unifying frameworks for motion planning and diversity search) and practical implementations (including humanoid robot control systems). A key trend in his research is the integration of motion planning techniques with reinforcement learning, creating more efficient and robust learning systems for robotics applications. Dr. Perrin-Gilbert is the primary maintainer of xpag , a modular reinforcement learning library with JAX agents that supports standard reinforcement learning and goal-conditioned reinforcement learning. This open-source project demonstrates his commitment to developing practical tools for the research community. The library has gained significant traction with 27 GitHub stars and 6 forks, and is used by other researchers in the field. His collaborations span multiple institutions and research groups, with frequent co-authorship with researchers from ISIR including Olivier Sigaud, Alexandre Chenu, and Stéphane Doncieux. He has also collaborated with researchers from other institutions on projects involving humanoid robots like COMAN and Cassie, demonstrating the applied nature of his work.

Yassine Ouhammouمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Model-Based Design
• +۶ مورد دیگر

Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.