جست‌وجوی استاد و پژوهشگر

Andrew Kennedyمشاهده پروفایل

استاد

• Materials Science
• Additive Manufacturing
• Porous Materials
• +۷ مورد دیگر

Professor Andrew Kennedy is the Chair in Advanced Manufacturing and Head of the Department of Engineering at Lancaster University . A graduate of Imperial College and Cambridge University, he previously held academic positions at Nottingham University. His research focuses on novel manufacturing methods for advanced materials, particularly multi-phase materials like metal matrix composites, metal foams, and porous materials, using techniques such as additive manufacturing, powder processing, and gel casting. Research Interests: Development of lightweight and energy-absorbing structures, novel batteries and energy storage systems, thermal/fluid flow management, and medical devices. Collaborations: Leads the TWI-Lancaster Joining 4.0 Centre and works with experts in AI, robotics, and machine learning to enhance manufacturing processes. Scientific Achievements: Published over 140 peer-reviewed papers, holds 2 patents, supervised 40+ PhD students, and led 65+ research projects including EU initiatives with 10+ industrial/academic partners. International Collaborations: Partnerships with institutions in Spain, Germany, Finland, Romania, Greece, Italy, Switzerland, China, Thailand, India, Malaysia, Mexico, Chile, Australia, and Canada.

• Mobile Development
• Web Development
• Cloud Services
• +۱ مورد دیگر

Lyudmila Rezunik is an academic and researcher at the National Research University Higher School of Economics (HSE), affiliated with the Faculty of Computer Science and the Department of Software Engineering . She also serves as a Junior Research Fellow at the Research and Educational Laboratory of Cloud and Mobile Technologies . Since joining HSE in 2023, her work focuses on bridging academic research and practical application in software engineering. Education: Bachelor's degree in Software Engineering (2023, HSE) Advanced training in pedagogy (2024), educational program modernization (2025), and team communication (2025) Research Interests: Mobile and web development Cloud services and game development Application of process mining in mobile app development Publications highlight her expertise in LLM-driven code generation and process mining for application families . She has developed patent-registered software for DICOM medical image visualization and remote web server-controlled servo drives . Recent recognitions include HSE Faculty of Computer Science awards and inclusion in the university's personnel reserve.

• Computer Vision
• Robotics
• Visual Servoing
• +۴ مورد دیگر

Christophe Collewet is a researcher affiliated with University of Rennes 1, currently on secondment to the National Institute for Research in Computer Science and Automation (INRIA) within the Lagadic project in Rennes since 2005. He holds a Doctorate in Signal Processing and Telecommunications from University of Rennes 1. His primary research interests include Computer Vision, Robotics, Visual Servoing, Fluid Dynamics Control, and Signal Processing. Dr. Collewet has made significant contributions to the field of visual servoing for robotic systems and its application to fluid flow control. His work bridges computer vision techniques with practical control systems for both robotics and fluid dynamics applications. Analysis of his recent publications reveals a strong focus on applying computer vision techniques to fluid dynamics control problems, particularly in shear flow and Poiseuille flow systems. His research demonstrates the innovative application of visual servoing methods to traditionally non-visual control problems, creating interdisciplinary connections between robotics and fluid mechanics. Throughout his career, Dr. Collewet has collaborated extensively with researchers at INRIA and University of Rennes 1, contributing to numerous projects in computer vision-based control systems for both robotic manipulation and fluid dynamics applications. His laboratory work has primarily been conducted within the Lagadic project at INRIA Rennes, focusing on developing vision-based control systems for various applications ranging from robotic milking systems to advanced fluid flow control mechanisms.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Prof. Ferrein is a Professor at the Institute for Mobile Autonomous Systems and Robotics (MASKOR) within the Faculty of Electrical Engineering and Information Technology at Aachen University of Applied Sciences. He has taught core courses including Fundamentals of Computer Science, Robotics, Artificial Intelligence, and Robot Programming with ROS for Electrical Engineering students from 2014 to 2016, establishing himself as a key educator in applied robotics. His research spans Robotics , Artificial Intelligence , and Industrial Automation , with concentrated expertise in logistics systems, mining automation, and smart manufacturing. As leader of the Carologistics RoboCup Logistics Team, he leverages competitive robotics to develop real-world factory automation solutions, focusing on multi-robot coordination, sensor fusion, and ROS-based implementations for industrial challenges. Analysis of his 2023-2025 publications reveals a decisive shift toward solving industry-specific problems: anomaly detection in metal-textile production, autonomous vehicle control in mining, and AI-supported work system design. His work consistently bridges academic research and industrial deployment through practical ROS integrations, emphasizing human-robot collaboration and cognitive load reduction in quality control workflows. MASKOR institute serves as the operational hub for Prof. Ferrein's activities, driving initiatives like the ROS Summer School and RoboCup Logistics League participation. This environment fosters industry-academia collaboration through educational programs and competitive benchmarks that validate cyber-physical systems for factory automation, with significant contributions to mining robotics and rescue operations.

• Robotics
• Unmanned Aerial Vehicles
• Computer Vision
• +۳ مورد دیگر

Barbara Bazzana is an active Researcher specializing in Robotics and Mechatronics with a focus on unmanned aerial systems control. Her work integrates computer vision and machine learning to solve complex navigation challenges in multi-rotor platforms, particularly through novel applications of diffusion models and experimental force modeling. Her core research domains include: Visual servoing for UAV autonomous navigation Denoising diffusion probabilistic models in robotics Multi-rotor aerodynamics and cross-influence effects Real-time propeller force modeling Latent space representations for control systems Analysis of her 2024-2025 publications reveals a strong trend toward merging generative AI with physical UAV control systems. Her work demonstrates how return-conditioned latent diffusion models can enable image-based servoing without explicit state estimation, while her propeller force research provides experimentally validated solutions for multi-rotor instability caused by aerodynamic interference. Both threads emphasize practical implementation in real-world aerial systems rather than purely theoretical exploration.

• Robotics
• Neurosciences
• Biomechanics
• +۳ مورد دیگر

Philippe Souères is a Research Professor at LAAS-CNRS, part of the University of Toulouse. He leads the Gepetto team, focusing on advanced robotics, motion generation, and interdisciplinary research in biomechanics and neuroscience. His work bridges robotics with human movement analysis, emphasizing humanoid robotics, control systems, and sensor-based approaches. Research interests include robot control (optimal control, nonlinear systems), neuroscientific applications (human motor control, multisensory integration), and biomechanics. His team explores human-like motion generation, dynamic systems, and robotic applications in fields like humanoid locomotion and aerial vehicles. Recent publications highlight advancements in humanoid robotics, motion planning under constraints, and interdisciplinary methods linking robotics with neuroscience. Notably, his 2010 work on human movement invariants earned a best paper award. Souères mentors numerous PhD students in topics like compliant actuators, motion planning, and real-time control systems. His team collaborates internationally, receiving grants for projects like Flecto (ANR grant for deformable object motion analysis). Led the development of the Pyrène humanoid robot and participates in initiatives like the Anthropomorphic Motion Factory workshops. His research emphasizes practical applications, including robot audition (EAR Project) and advanced control algorithms for bipedal and aerial systems.

Daniel Toalمشاهده پروفایل

استاد

• Marine Technology
• Renewable Ocean Energy
• Marine Airborne Systems
• +۹ مورد دیگر

Prof. Daniel Toal is a Full Professor and Chair of Electrical Engineering and Robotics at the University of Limerick , affiliated with the Department of Electronic and Computer Engineering and multiple research centers including Lero and the Centre for Robotics and Intelligent Systems . With a PhD and M.Sc. from Cranfield University, he specializes in marine robotics, controller design, and autonomous systems for challenging environments. Ph.D. (Electronics & Computer Engineering) M.Sc. (Cranfield University) His research focuses on robot motion control , intervention robotics for offshore energy systems, and sensor integration for underwater operations. Key projects include autonomous inspection of offshore wind farms, friction stir welding for ship hull repair, and LiDAR-based bridge inspection systems. Recent publications highlight advancements in autonomous path planning , visual servoing , and underwater sensor systems , with applications in offshore wind energy and marine infrastructure. His work aligns with UN Sustainable Development Goals for sustainable marine technologies. Denny Medal (2008) - Best Paper in Journal of Marine Engineering and Technology Prof. Toal teaches courses in industrial robotics , marine operations , and control systems , while leading collaborations with European research networks and contributing to robotics standards development through IEEE and IFAC memberships.

• Robotics
• Control Systems
• Computer Vision
• +۳ مورد دیگر

Hui Xie is a Lecturer in the School of Electrical Engineering, Computer and Mathematical Sciences at Curtin University. Their work focuses on robotics, control systems, and computer vision, particularly in the context of unmanned aerial vehicles (UAVs) and autonomous systems. They are affiliated with the Faculty of Science and Engineering and are based at the Curtin Perth campus. Research interests center on visual servoing techniques for UAVs, adaptive control systems, and image-based navigation in GPS-denied environments. Notable contributions include advancements in dynamic visual servoing using virtual cameras, disturbance observer-based control, and nested saturation control strategies for multi-agent systems. Xie's publications span topics like semantic segmentation in autonomous driving, scene flow estimation, and output feedback mechanisms for rotorcrafts. Their work bridges theoretical control frameworks with practical applications in robotics and aerospace engineering.

Yanjie Chenمشاهده پروفایل

استاد مهمان

• Robotics
• Computer Vision
• Control Systems
• +۳ مورد دیگر

Yanjie Chen is a Visiting Professor in the Department of Computer Science at Aberystwyth University. Their research focuses on robotics, computer vision, control systems, and artificial intelligence, with notable contributions in aerial manipulators, neural architecture search, and fuzzy logic systems. Chen holds the prestigious Newton International Fellowship since 2022. In robotics, Chen explores advanced control strategies for unmanned aerial vehicles and manipulators, addressing challenges like dynamic tracking, impedance control, and environmental disturbances. Their work in AI emphasizes optimization techniques for neural networks, including pruning and architecture search, enhancing computational efficiency. In computer vision, Chen develops attention-based mechanisms for super-resolution tasks. Key Achievements: Recipient of the Newton International Fellowship (2022) High-impact publications in IEEE Transactions and Springer venues Collaborations with institutions like Fuzhou University and Hunan University Chen’s research bridges theory and application, with practical solutions for robotics, autonomous systems, and AI-driven image processing.

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.

Piotr Rudolمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Robotics
• Computer Vision
• +۵ مورد دیگر

Piotr Rudol is a Researcher at Linköping University's Department of Computer and Information Science (IDA), part of the Artificial Intelligence and Integrated Computer Systems (AIICS) division. His work focuses on advancing artificial intelligence, robotics, and their applications in collaborative systems, autonomous navigation, and UAV technology. Research interests include: Robotics mission planning and coordination Unmanned aerial vehicle (UAV) systems for search and rescue RDF graph synchronization for collaborative robotics Computer vision for object detection and geolocation Multi-agent systems integration His recent articles emphasize autonomous systems, sensor fusion, and distributed robotics frameworks. Notable contributions include frameworks for UAV-based human detection and collaborative mission planning systems. Piotr collaborates with senior researchers like Patrick Doherty and Mariusz Wzorek, contributing to projects funded through institutional research programs. He is actively involved in the IDA department's research initiatives, bridging theoretical AI advancements with practical robotic implementations.

• Perception and Robotics
• Computer Vision
• Unmanned Aerial Vehicles (UAVs)
• +۴ مورد دیگر

Claude PEGARD is a University Professor of Perception and Robotics at Université de Picardie Jules Verne (UPJV) , France, affiliated with research unit UR 4290. His office is located in PR-305 and he can be reached via internal phone extension 5922. His research lies at the intersection of computer vision, robotics, and intelligent control . Over three decades he has advanced autonomous navigation of aerial vehicles , sensor fusion between infrared and visible cameras , robust human detection , and fuzzy-logic-based flight control . Recent work explores AI applications in healthcare , highlighting both opportunities and ethical limits. Vision-based UAV navigation and path planning Photometric visual servoing for micro-air vehicles Multi-spectral human detection for search-and-rescue Nonlinear and fuzzy control of quadrotor platforms His publication trajectory from 1990-2024 shows a clear evolution from foundational work on omnidirectional vision and mobile-robot localization to cutting-edge neural-network-driven control and AI ethics. The 2020-2024 articles emphasize AI integration in safety-critical systems , robust control under uncertainty , and real-time vision algorithms . Laboratory & Teams: While the specific laboratory name is not stated, Prof. PEGARD leads activities within the Perception and Robotics group at UR 4290, mentoring graduate students and collaborating on UAV platform development and vision-based control systems.

• Medical Robotics
• Rehabilitation Robotics
• Human-Robot Interaction
• +۴ مورد دیگر

Dr. Nicolás García-Aracil is an Associate Professor at Miguel Hernández University of Elche, Spain, affiliated with the Department of Systems Engineering and Automation. He serves as Deputy Director of the Institute of Bioengineering and Director of the Chair of Advanced Technologies for Rehabilitation. PhD in Robotics (Summa Cum Laude, National Research Prize, 2004) M.Sc. in Control Engineering (1996) M.Sc. in Design, Robotics and Industrial Automation (1997) B.Sc. in Electronics Engineering (1992) His research focuses on medical robotics , rehabilitation robotics , and human-robot interaction , with applications in stroke recovery , prostate cancer visualization , and assistive technologies . Recent publications emphasize dynamic adaptation , neuro-fuzzy systems , and multimodal interfaces for therapeutic optimization. Best Thesis in Robotics, National Research Prize (Spanish Federation of Automatic Control, 2004) Summa Cum Laude PhD Thesis (2004) 1st Accesit for PhD Thesis (2004) Active in European Union Horizon 2020 projects like AIDE and FP7 initiatives (ECHORD, MAAT). Serves as Editorial Board member for BioSystems & Biomechanics and has guest-edited multiple JCR journal special issues.

• Mobile Robotics
• Visual SLAM
• Unmanned Aerial Vehicles
• +۷ مورد دیگر

Dr. Emilio García Fidalgo is an Associate Professor at the University of the Balearic Islands (UIB) within the Department of Mathematics and Computer Science. He earned his B.Sc., M.Sc., and Ph.D. in Computer Science from UIB in 2007, 2011, and 2016 respectively. Ph.D. in Computer Science (2016), UIB M.Sc. in Computer Science (2011), UIB B.Sc. in Computer Science (2007), UIB His research focuses on mobile robotics , visual and LiDAR SLAM , appearance-based scene recognition , and unmanned aerial vehicles . He develops algorithms for robust loop closure detection, hierarchical topological mapping, and maritime inspection applications. The 15 most recent publications analyze frontier-based exploration strategies, trajectory planning for aerial robots, UWB calibration methods, and visual SLAM in low-textured environments. These works demonstrate his consistent contributions to Robotics , Computer Vision , and Autonomous Systems disciplines. Robust Loop Closure Detection (2020-2024) Visual Inspection Frameworks (2015-2021) Topological Mapping Solutions (2016-2022) LiDAR and Visual Odometry (2017-2023) He contributes to academic education through teaching roles in courses like Computer Structure I , Digital Systems , and Advanced Perception for Mobile Robotics . His work integrates with the Systems, Robotics, and Vision (SRV) research group.

Ai-Ping Huمشاهده پروفایل

استاد مدعو

• Agricultural Robotics
• Nonlinear Control
• Vision-Guided Manipulation
• +۲ مورد دیگر

Dr. Ai-Ping Hu is a Principal Research Engineer at the Georgia Tech Research Institute's Intelligent Sustainable Technologies Division and an Adjunct Professor at Georgia Tech's Woodruff School of Mechanical Engineering. His research bridges agricultural robotics and medical robotics through nonlinear control and vision-guided manipulation. Ph.D. in Mechanical Engineering, Georgia Tech B.S. in Mechanical & Aerospace Engineering, Cornell University His primary research areas involve agricultural robotics (harvesting, pollination, and path planning systems for unstructured environments), nonlinear control (adaptive algorithms for underactuated systems like brachiating robots), and vision-guided manipulation (sensor integration for precision tasks in both agricultural and medical contexts). The 15 most recent publications highlight his work in agricultural automation (soft grippers for blackberry harvesting, graph-based path planning) and medical robotics (MRI-guided injection systems, super-resolution imaging for spinal procedures). His technical focus spans soft robotics, sensor integration, and control theory for underactuated systems. Dr. Hu has contributed to robotics education and industrial automation through interdisciplinary courses and patented visual servoing systems for agricultural robots. His work demonstrates cross-domain applications of control theory in both food production and medical devices. Co-founded robotics startup applying learning control to manufacturing robots Active reviewer for IEEE and ASME journals He works within Georgia Tech's Intelligent Sustainable Technologies Division , where his robotics research targets both food and medical technology challenges.