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Stéphane Doncieux is a University Professor in Computer Science at Sorbonne University, where he is affiliated with the Institute of Intelligent Systems and Robotics (ISIR), a joint research laboratory with CNRS. Since January 2024, he has served as Director of ISIR, following a term as Deputy Director from 2019 to 2023. He leads the ASIMOV research team and is based at the Pierre and Marie Curie Campus in Paris. His primary research interests lie in cognitive and developmental robotics, with a strong focus on open-ended learning, evolutionary algorithms, and adaptive systems. He investigates how robots can autonomously learn diverse skills through mechanisms such as novelty search, quality-diversity optimization, and intrinsic motivation. His work bridges theoretical foundations in artificial life and practical applications in robotic manipulation, perception, and control. The recent publications highlight a consistent trend in advancing robotic learning under sparse rewards and in open-ended environments. Key themes include quality-diversity optimization for grasping, state representation learning, sim-to-real transfer, and the development of behavioral repertoires. These works are published in high-impact journals such as IEEE Transactions on Robotics, Evolutionary Computation, and Frontiers in Robotics and AI. Coordinator, DREAM FET H2020 project (2015–2018) Principal Investigator, ANR projects on Creative Adaptation by Evolution, Learning Movement Skills, and Grasping with Multimodal Feedback Involved in European initiatives including VeriDREAM and HumanE-AI-Net He has supervised numerous PhD and Master’s students, including Leni Le Goff, Giuseppe Paolo, Alban Laflaquière, and Achkan Salehi, often in collaboration with leading researchers like Olivier Sigaud and Jean-Baptiste Mouret. He teaches computer science and robotics at both undergraduate and graduate levels at Sorbonne University. Doncieux has been instrumental in shaping research directions in evolutionary and developmental robotics, notably through his leadership in the IEEE Task Force on Evo-Devo-Robotics and his editorial contributions. His lab, ASIMOV, fosters interdisciplinary research integrating computer science, neuroscience, and engineering to create more autonomous and intelligent robotic systems.

• Cognitive Robotics
• Developmental Robotics
• Evolutionary Robotics
• +16 more

Sao Mai Nguyen is an Enseignante-Chercheuse (Lecturer-Researcher) at ENSTA Paris, affiliated with the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS). Her research bridges robotics, artificial intelligence, and cognitive science, focusing on cognitive developmental robotics, intrinsic motivation in learning, and human-robot interaction. She explores how robots can adapt to social and physical environments, particularly in physical rehabilitation and smart home applications. Research Interests: Nguyen’s work integrates machine learning, robotic embodiment, child psychology, and neuroscience. Key areas include human-robot interaction, assistive robotics for chronic low back pain rehabilitation, activity recognition in smart homes using IoT sensors, and intrinsic motivation-driven learning frameworks. Recent Contributions: Her 2024 HDR thesis on reinforcement and imitation learning for sequential tasks underscores her expertise in strategic learning systems. Recent publications address bio-inspired robotics models, hierarchical reinforcement learning, and benchmark environments like 'Open the Chests' for activity recognition. Collaborations include projects like the R-COOL randomized trial for robot-coached physical exercises. Labs & Teams: She contributes to the U2IS lab, advancing interdisciplinary research in AI and robotics. Her work spans experimental platforms for sensorimotor learning and healthcare robotics applications.

• Robotics
• Artificial Intelligence
• Cognitive Science
• +7 more

François Suro is a Lecturer at the University Institute of Technology, Valence within Grenoble Alpes University. He is affiliated with the LCIS laboratory and conducts research as part of the Co4Sys team. He earned his PhD in Computer Science from the University of Montpellier in 2020, focusing on epigenetic learning in multi-agent systems. Research Focus: His work centers on developmental approaches to artificial intelligence, with three primary domains: Progressive structuring of agent behaviors through hierarchical architectures (MIND framework) Acquisition and grounding of symbolic representations in embodied systems Emergence mechanisms for collective behaviors in agent societies Key application areas include robotics, social simulations, and cognitive modeling. Publication Trends: Recent works (2019-2021) demonstrate consistent exploration of hierarchical control architectures for autonomous agents, progressive learning methodologies, and collective behavior emergence in multi-agent environments. Dominant themes include developmental robotics frameworks, modular skill composition, and agent-based social simulations using platforms like NetLogo. Laboratory Context: As part of the LCIS laboratory's Co4Sys research team, he contributes to projects involving intelligent systems design and multi-agent coordination frameworks.

• Developmental Robotics
• Multi-agent Systems
• Artificial Intelligence
• +3 more

David Cohen is a University Professor and Hospital Practitioner affiliated with the ACIDE team at AP-HP (Assistance Publique - Hôpitaux de Paris). His research spans child and adolescent psychiatry , autism spectrum disorders , and neurodevelopmental conditions , with a focus on integrating social robotics and affective computing into clinical interventions. His recent work explores AI-based analysis of child-therapist interactions , ICT applications for neurodevelopmental disorders , and robot-assisted therapies . Key publications include systematic reviews on depression assessment tools in autism, longitudinal studies of emotional interventions, and collaborative research on human-robot interaction in clinical contexts. David Cohen collaborates extensively with teams across clinical psychology , robotics , and public health , contributing to journals like Journal of Autism and Developmental Disorders , Research in Developmental Disabilities , and Frontiers in Psychiatry . No specific awards, grants, or educational credentials are detailed in the provided texts.

• Child and Adolescent Psychiatry
• Autism Spectrum Disorders
• Neurodevelopmental Disorders
• +7 more

BOHI Amine is a researcher at CESI (School of Engineering and Digital Tools, Department of Computer Science), with a PhD in Computer Science from the University of Toulon (2017). His academic profile spans disciplines including Machine Learning, Signal and Image Processing, and Biomedical Engineering, with a focus on applications in Digital Health and Human-Robot Interaction. Education : PhD in Computer Science (University of Toulon, 2013-2017); Master 2 in Computer Science (University of Fes, Morocco, 2009-2011); Bachelor’s in Mathematical and Computer Sciences (University of Fes, 2006-2009). His research interests include: Machine Learning and Deep Learning Signal and Image Processing 3D Shape Analysis Computer Vision Digital Health Biomimetic Feature Design BOHI’s publications reflect expertise in facial emotion recognition for elderly care, cortical folding modeling, and soft tissue organ deformation analysis using MRI. He supervises diverse research internships, mentoring students from institutions like Sorbonne Paris Nord, Université de Technologie King Mongkut, and INP Grenoble. Current projects involve developing intelligent solutions for emotional interaction with elderly individuals suffering from neurodegenerative disorders, in collaboration with VyV3 Bourgogne. He also contributes to the design of multimodal datasets and wearable health monitoring systems. BOHI’s technical work includes contributions to maritime surveillance systems (PARE project) and semantic information platforms, demonstrating a capacity to bridge theoretical research with practical applications across domains.

• Machine Learning
• Deep Learning
• Signal and Image Processing
• +12 more

Bruno Gas serves as a Professor at Sorbonne University, affiliated with the ASIMOV research team within the Intelligent Systems and Robotics Institute (ISIR). His academic work bridges robotics, artificial intelligence, and cognitive science through innovative investigations into sensorimotor learning frameworks for embodied agents. Gas's research centers on how naive robotic agents develop spatial and bodily representations through sensorimotor interactions, with particular emphasis on multimodal sensory integration (audition, vision, and touch). His work demonstrates how robots can autonomously construct internal models of their environment through active exploration, utilizing principles from developmental psychology and neuroscience. Key methodologies include neural network modeling, predictive processing architectures, and bio-inspired sensorimotor contingency frameworks that enable agents to learn without pre-programmed spatial knowledge. Analysis of Gas's recent publications (2013-2020) reveals consistent thematic progression in developmental robotics, focusing on the emergence of topological spatial representations, active exploration strategies, and multimodal sensor fusion. His research demonstrates how sensorimotor flow generates internal spatial models, with notable contributions including the Head Turning Modulation System for environment exploration and tactile space representation models. This work establishes critical links between robotics, cognitive science, and neuroscience through experimentally validated frameworks for embodied learning. No explicit information regarding student supervision or research grants appears in the source material, though extensive collaborative publications with researchers like Sylvain Argentieri and J. Kevin O'Regan suggest active mentorship and project leadership within the ISIR ecosystem. His publication record shows sustained interdisciplinary collaboration across European robotics institutions. Gas operates within the ASIMOV team at ISIR (Institut des Systèmes Intelligents et de Robotique), a premier robotics research unit jointly operated by Sorbonne University and CNRS. The team specializes in adaptive systems and intelligent machines, with research spanning embodied cognition, developmental robotics, and human-robot interaction. ASIMOV's experimental platforms focus on sensorimotor learning paradigms for autonomous exploration, positioning Gas at the forefront of bio-inspired robotics research in France.

• Robotics
• Artificial Intelligence
• Sensorimotor Learning
• +3 more

Saaid Safieddine is a Permanent Researcher (DR2 CNRS) at the Institut Pasteur in Paris, where he co-leads the Auditory Cognition and Communication team. His research focuses on developing translational gene therapies for hereditary and acquired hearing loss, particularly targeting genetic deafness such as DFNB9 caused by otoferlin mutations. He works within a multidisciplinary team that includes engineers, researchers, and ENT surgeons, aiming to bridge molecular discoveries with clinical applications through robotic delivery systems. His primary research interests include: Molecular physiology of hearing and auditory synapses Gene therapy for inner ear abnormalities Adeno-associated virus (AAV) vector design and tropism Otoferlin gene expression and regulation Translational neuroscience and preclinical modeling Cell-specific targeting in the inner ear His recent publications (2019–2025) demonstrate a consistent and impactful research trajectory in gene therapy for deafness. The work shows a progression from foundational studies on synaptic mechanisms to advanced preclinical models and clinical translation. Key themes include the development of dual-AAV systems for otoferlin delivery, in vivo tropism studies across developmental stages, restoration of auditory processing, and expanding therapeutic time windows in Usher syndrome models. His research increasingly integrates developmental biology, viral engineering, and behavioral neuroscience to address the full spectrum of hearing restoration. Saaid Safieddine has not been noted to have received specific scientific awards in the provided texts. However, his leadership in high-impact projects such as the ANR "Robocop" initiative and collaborations with clinical centers (Pitié-Salpêtrière and Necker Hospitals) indicate significant research funding and institutional support. He supervises PhD students and postdoctoral researchers, contributing to the training of next-generation scientists in auditory neuroscience and gene therapy. He is involved in multidisciplinary research teams and collaborative projects that integrate: The Auditory Cognition and Communication team at Institut Pasteur The RobOtol robotic surgery project for otological interventions Clinical ENT departments at Pitié-Salpêtrière and Necker University Hospitals The Hearing Institute for translational development ANR-funded projects like "Robocop" for active cochlear implants

• Gene Therapy
• Molecular Physiology of Hearing
• Auditory Synapses
• +7 more

Georgi Stojanov is an Associate Professor at The American University of Paris since Fall 2005, previously serving as associate professor at the Faculty of Electrical Engineering, Sts Cyril and Methodius University in Skopje (2001-2005). He co-founded the Cognitive Robotics Group (2000) and the Institute for Interactivist Studies, actively organizing the bi-annual Interactivist Summer Institute (ISI). His academic credentials include: PhD in Computer Science and Artificial Intelligence (1997), University SS Cyril and Methodius, Skopje MSc in Computer Science (1992), Thesis: 'Recognition and Modeling of Evoked Brain Potentials', University SS Cyril and Methodius, Skopje BS in Electrical Engineering (1988), Faculty of Electrical Engineering, University 'Sts. Cyril and Methodius', Skopje (Computer Science major) Stojanov's research spans Artificial Intelligence with emphases on Cognitive Robotics , Developmental Robotics , and Computational Creativity . His work investigates interactivist theory, metaphor/analogy mechanisms in AI, and embodied cognition frameworks. Key contributions include modeling attention architectures, curiosity-driven robotic systems, and Piagetian-inspired developmental models, consistently bridging cognitive science with practical robotics applications. His focus on perceptual similarity in creative processes represents a significant thread in recent publications. Publication trends (2005-2013) reveal a progression from foundational interactivism theory (2006) toward computational creativity (2010-2013), with sustained exploration of embodied learning through inductive logic programming. His work demonstrates strong interdisciplinary connections between machine learning, cognitive development, and human-computer interaction. He maintains active leadership through program committee roles for AI/robotics conferences and has delivered invited lectures at institutions including Université Montpellier 3, Université Paris-8, and the New Bulgarian University. His 2013 AAAI symposium on Creativity and Cognitive Development highlights ongoing scholarly engagement. Stojanov's collaborative network includes the Cognitive Robotics Group (Skopje), Institute for Interactivist Studies, and international partners at University of Trieste, Université de Versailles-Saint-Quentin-en-Yvelines, and UC San Diego, reflecting his commitment to cross-institutional cognitive systems research.

• Artificial Intelligence
• Cognitive Robotics
• Developmental Robotics
• +4 more

Sylvain Argentieri serves as an Associate Professor at the Institute for Intelligent Systems and Robotics (ISIR) within Sorbonne University, where he has been a member of the ASIMOV research group ("Architectures and Models for Adaptation and Cognition") since 2008. His office is located at ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris. He maintains an active research presence with publications spanning from 2006 to 2024. His educational background includes obtaining the highest teaching diploma in France (Agrégation externe) in Electrical Engineering from the École Normale Supérieure in 2002, followed by a Ph.D. in Computer Science from Paul Sabatier University (Toulouse) in 2006, and his Habilitation à Diriger des Recherches (HDR) in 2018. Argentieri's research focuses on artificial perception in robotics with special emphasis on auditory perception, active multimodal perception approaches, and sensorimotor integration. His work demonstrates a consistent trajectory exploring how robots can develop perceptual capabilities through sensorimotor experiences, with particular attention to binaural sound localization, head movement control, and the emergence of spatial representations from uninterpreted sensory signals. His publications reveal a strong interest in how naive agents can structure their understanding of the world through active exploration and sensory prediction. His publication record shows a clear progression from foundational work on sound source localization to more complex investigations of sensorimotor contingencies and embodied cognition. The research spans multiple venues including IEEE conferences, Robotics and Autonomous Systems, and Frontiers journals, with recent work incorporating transformer architectures and neural network approaches to auditory processing. Argentieri maintains active collaborations with researchers including Nicolas Obin, Bruno Gas, and Valentin Marcel, as evidenced by his co-authored publications. His laboratory work takes place within the ASIMOV team at ISIR, which focuses on architectures and models for adaptation and cognition in robotic systems.

• Robotics
• Auditory Perception
• Multimodal Perception
• +3 more

Sinan Haliyo is a Professor at the Institute of Intelligent Systems and Robotics (ISIR), Sorbonne University, Paris, where he leads the 'Multiscale Interactions' research team. His academic career spans over two decades, with significant contributions to robotics, particularly in micromanipulation, haptics, and human-computer interaction. Dr. Haliyo earned his Doctorate from Pierre and Marie Curie University in 2002 with a thesis on "Adhesion forces and dynamic effects for micromanipulation," supervised by Prof. Jean-Claude Guinot. In 2019, he obtained his Habilitation to Direct Research (HDR) from Sorbonne University with the thesis "Multi-Scale Interactions," demonstrating his capacity to lead independent research and supervise doctoral candidates. His research broadly focuses on robotics and interactivity—designing teleoperated robots for specific applications and developing systems that allow operators to perceive what they are controlling through haptic and multimodal interfaces. Starting with microrobotics in the late 1990s, his work has expanded to encompass human-robot interaction, haptics, virtual reality, and human-machine interfaces. His multidisciplinary approach involves collaboration with roboticists, psychologists, neuroscientists, and biologists. Analysis of his recent publications (2023-2025) reveals a strong focus on optical microrobotics, biomedical applications, and haptic interfaces. His team is advancing techniques for precise micro-manipulation using optical tweezers combined with deep learning, developing medical microrobots for applications like biliary procedures and in vitro fertilization, and creating innovative haptic interfaces for surgical training and virtual reality. The research spans multiple disciplines including robotics, biomedical engineering, computer vision, and neuroscience. IROS'09 Best application Mechatronics Journal 2010 Triennal Best paper MARSS 2019 Best Paper World Haptics 2021 Best ToH Short Paper Hon. Ment. ISOT 2021 Best Student Paper INTERACT 2021 IFIP TC13 Pioneers' Award for Best Doctoral Student Paper Dr. Haliyo has supervised 14 theses to completion with 6 currently in progress, representing a total supervision rate of 390% (approximately 60% per thesis on average throughout his career). He has coordinated multiple significant research projects including ANR IOTA (Interactive Optical Tweezers), ANR OptoBots, and 3BIOT (Robotic Optical Tweezers for Biology). His research is funded by Sorbonne University, the Ile-de-France Region, ANR grants, and private companies including Percipio Robotics, Robeauté, and Segula. As leader of the Multiscale Interactions team at ISIR (since January 2019), Dr. Haliyo oversees a research group comprising 4 faculty members, 4 researchers, and 15 PhD students. Previously, he animated the Microrobotics group within the ISIR interaction team (2016-2019) and has been responsible for the ISIR Assisted Micromanipulation Platform since 2015, which serves as a node of the CNRS National Micro-Nanorobotics Platform and recipient of the Labex Robotex.

• Robotics
• Micromanipulation
• Haptics
• +8 more

Laurence Bernard Tanguy is a Researcher in Clinical Psychology at the Université Catholique de l'Ouest (Angers) within the Faculty of Human and Social Sciences, affiliated with the RPPsy research team (EA 4050). She holds roles as Clinical Psychologist/Psychotherapist, co-head of the Clinical Psychology Center, and training manager for the Master's program in Clinical Psychology, Support, and Disability. Her professional career spans clinical practice, academic teaching, and institutional leadership in professionalization programs. She earned a PhD in Education from Université de Sherbrooke (2011) and has held vice-dean positions focused on professionalization (2014-2019). Education: PhD in Education, Université de Sherbrooke, 2011 DESS in Developmental and Educational Psychology, 1994 DU Studia Doctoralia in Psychology, 2005 Research Focus: Her work explores psychopathology, resilience in institutionalized youth, psychological assessment processes, and giftedness in adults. She investigates how clinical practices interface with modern challenges like technology’s role in education and healthcare. Recent studies include therapeutic approaches for eating disorders, intergenerational trauma, and professionalization frameworks for students. Her articles span clinical psychology theory, educational strategies, and ethical technology use, often emphasizing humanistic and psychoanalytic perspectives. Professional Activities: Leads programs such as the SEVE project (student vulnerability studies) and PEPITE (student professionalization). Organizes national/international colloquia on themes like hybrid learning models and the socio-emotional impact of technology. Serves as co-editor-in-chief of the PIPER Review, focusing on international psychology research. Teaching: Teaches courses on vulnerability/resilience, adolescent psychology, and research methodology at undergraduate/master’s levels. Her pedagogical focus integrates clinical practice with theoretical frameworks.

• Psychopathology
• Student Professionalization
• Attachment and Resilience
• +5 more

Vladislav Maraev is a Postdoctoral researcher at the Centre for Linguistic Theory and Studies in Probability (CLASP), Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, Sweden. Previously, he worked as a Postdoctoral researcher at the Department of Applied IT, Division of Cognition & Communication (2022-2023), and completed his PhD at CLASP (2017-2022). His academic journey began with a Research Assistant position at NLX Group, University of Lisbon, Portugal (2016-2017). Maraev's research centers on computational linguistics and human-AI interaction, with a specific focus on gaze and laughter coordination in socially interactive agents . He positions his work in the broad field of computational linguistics, building models that reproduce human behavior to understand cognition, with the ultimate goal of creating better AI systems. He emphasizes that dialogue is a form of joint action requiring coordination on multiple levels, from timing to meaning interpretation. His work bridges theoretical linguistics with practical applications in dialogue systems. His publication record reveals a consistent focus on multimodal communication, particularly examining how laughter functions within human-robot dialogue. Maraev's recent work explores non-humorous laughter in social robots, metaphor usage in conversation, strategies for handling confrontational dialogue, and the role of laughter in social perception of robots. His research demonstrates how computational approaches can model complex social phenomena like laughter coordination and pragmatic interpretation. Maraev is actively involved with the ACID research team at ISIR and contributes to the CLASP research center at the University of Gothenburg. His collaborative work with researchers including Christine Howes, Chiara Mazzocconi, and Ellen Breitholtz has produced numerous publications in top venues for human-computer interaction and computational linguistics. His research trajectory shows increasing sophistication in modeling the complex interplay between verbal and non-verbal communication in social interactions with AI systems.

• Computational linguistics
• Dialogue systems
• Human-AI interaction
• +5 more

Christophe Eloy is a Professor of Fluid Mechanics at Centrale Marseille, conducting research at the IRPHE Institute in Marseille. His work focuses on fluid-structure interactions, hydrodynamic instabilities, animal locomotion, aeroelasticity, rotating flows, and plant biomechanics, combining analytical, experimental, and numerical methods. Affiliation : Centrale Marseille (IRPHE Institute) Research Themes : Fluid mechanics, biomechanics, turbulence, and computational physics at the intersection of biology and engineering. He leads the ERC-funded C0PEP0D project exploring fluid mechanics, AI, and biological systems. Collaborations include nuclear engineering (e.g., PWR fuel assembly dynamics), plant growth mechanics, and microorganism navigation strategies. His work spans experimental setups like ICARE facilities and theoretical models for optimal swimming and flow sensing. Recent studies address reinforcement learning for navigation, planktonic turbulence surfing, and seismic responses of cylinder assemblies. He actively mentors interns and PhD students in multidisciplinary projects.

• Fluid Mechanics
• Biomechanics
• Hydrodynamic Instabilities
• +5 more

Christian Graff is an HDR lecturer at the University of Grenoble Alpes, affiliated with the Laboratory of Psychology and Neuro-Cognition (LPNC). His research spans multiple disciplines including neurosciences, psychophysique, and ethology, with a focus on perception-action loops, animal behavior, sensory substitution, and rhythms. He serves as a disability reference teacher for psychology students at the university. Graff's research interests center on irregular rhythms, intermodal sensory perception, and human/cognitive systems. His work explores how rhythmic patterns in biological systems inform our understanding of temporal processing, from electric fish signaling to human finger-tapping and eye blinking. He investigates sensory substitution systems to assist visually impaired individuals in spatial navigation and has developed innovative approaches to multimodal guidance using sound metaphors. His publication trends reveal a progression from neuroethology of electric fish to psychophysics and evolutionary psychology. Recent work focuses on sensory substitution for spatial awareness, virtual reality embodiment, and rhythmology. His research bridges biology, psychology, and technology, examining how humans interact with space through multiple sensory channels and how these insights can inform assistive technologies. Graff collaborates extensively across disciplines through projects like SAM-guide (Spatial Awareness from Multimodal guidance), CDP Boot (Cross-disciplinary Program for robot interaction), and FISHIF (Fish In Silico with Hydrodynamic and Social Interaction Forces). He participates in interdisciplinary collectives including CARMEN (Consciousness, Attention, Representation Mentale) and the "Rhythmologies" and "Humanibots" research axes at MSH-Alpes. His laboratory work involves the Babylab and focuses on perception-action systems, with current projects exploring voice control of flying robots, sensory substitution devices, and the metalinguistic function of spontaneous eye blinking. His team combines experimental approaches from ethology, psychophysics, and virtual reality to investigate how humans and animals perceive and interact with space across different temporal scales.

• Perception-action loops
• Animal behavior
• Sensory substitution
• +8 more

Hakim GUEDJOU is a Teacher-Researcher affiliated with CESI School of Engineering and part of the Engineering and Digital Tools research team. His work bridges human-robot interaction and autonomous learning systems with applications in social behavior analysis.

• Human-Robot Interaction
• Developmental Robotics
• Signal and Image Processing
• +4 more