جستجوی استاد راهنمای دانشگاهی

• 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.

Pavel Trivailoمشاهده پروفایل

استاد

• Aerospace Engineering
• Mechanical Engineering
• Control Systems
• +۵ مورد دیگر

Professor Pavel Trivailo is a prominent academic and researcher in aerospace engineering at RMIT University's School of Aerospace, Mechanical & Manufacturing Engineering (SAMME). He holds a professorial position and has been with RMIT since 2003. His research focuses on aerospace systems, control systems, structural health monitoring, and AI applications in robotics. Trivailo has led significant projects such as DSTO Australia/DARPA collaborations, securing grants like the ARC Discovery Grant for tether-based payload systems. He is an editor for the International Journal on Inverse Problems in Science & Engineering and has represented RMIT at major events like the Avalon Airshows. His research spans advanced topics including space debris capture with tether-nets, spacecraft attitude control via inertial morphing, and EEG-based brain-computer interfaces. He has supervised over 33 postgraduate students and is recognized for excellence in supervision (RMIT PhD Supervisor of the Year, 2000). Trivailo's work integrates theoretical and experimental approaches, with contributions to robotics, biomedical engineering, and applied mathematics. His recent projects include AI-driven drone simulations against directed energy weapons and satellite formation control for object avoidance.

Shouvik Chaudhuriمشاهده پروفایل

پژوهشگر ارشد

• Control Systems
• Electrohydraulic Actuation
• Nonlinear Control
• +۴ مورد دیگر

Shouvik Chaudhuri is a Research Fellow at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). Holding a PhD and postdoctoral qualifications in Mechatronics, he conducts research in control systems and electrohydraulic actuation. His educational background includes advanced training in mechanical and electrical engineering systems. Dr. Chaudhuri's research focuses on nonlinear control methodologies with applications spanning: Electrohydraulic actuation systems and motion control Marine vehicle stabilization and control systems Energy-efficient refrigeration and thermal management Robust control applications in biomedical devices Mechatronic systems integration with vision-based sensing His recent publications demonstrate strong cross-disciplinary collaboration, particularly in marine engineering, thermal systems, and biomedical applications. Research frequently incorporates advanced control strategies including sliding mode control, adaptive neural networks, and fuzzy logic implementations. Dr. Chaudhuri actively supervises student projects in mechatronics and control systems, including: Trajectory generation for CNC foam cutting machines Autonomous aerial mapping using drone-based SLAM Electrohydraulic valve systems for pharmaceutical applications Diesel dosing units for exhaust system testing He maintains laboratory activities through SDU Mechatronics (CIM) research group, focusing on experimental validation of electrohydraulic systems and marine control technologies.

Daniele De Martiniمشاهده پروفایل

مدرس

• Mobile Robotics
• Autonomous Systems
• Robot Navigation
• +۵ مورد دیگر

Daniele De Martini is a Departmental Lecturer in Mobile Robotics at the Oxford Robotics Institute (ORI) and a College Lecturer in Engineering Science at Pembroke College, University of Oxford. He co-leads the Mobile Robotics Group (MRG) with Professor Paul Newman. His academic journey began in Pavia, Italy, where he earned his BSc in Mechanical Engineering, followed by an MSc in Mechatronic Engineering from Politecnico di Torino, and completed his PhD in Robotics at Università degli Studi di Pavia under the supervision of Prof. Tullio Facchinetti. De Martini's research focuses on robust navigation and scene understanding for mobile robots, with particular emphasis on enabling robot operation in challenging weather conditions and diverse scenarios. His work spans from odometry and localization to detection and segmentation, utilizing various sensing technologies including vision, laser, and radar systems. A significant portion of his research explores FMCW scanning radar technology as a more robust alternative to traditional visual perception systems, especially in adverse weather conditions. He also investigates techniques to enhance the training of perception modules using machine learning approaches, believing that learning and adaptation are paramount for achieving true robot autonomy. His publication record demonstrates a clear progression from early work on energy management and scheduling algorithms to his current focus on mobile robotics and perception. The analysis of his recent publications reveals strong emphasis on radar-based perception, robust localization methods, scene generation for autonomous driving simulation, and long-term autonomy systems. His work bridges the gap between theoretical robotics and practical field deployment, as evidenced by projects like The Hulk vehicle platform designed for weather-proof outdoor operations. As an educator, De Martini teaches Structures and Mechanics at Pembroke College and contributes to the academic mission of the Department of Engineering Science. His research group actively develops solutions for real-world robotic challenges, with applications ranging from urban mobility safety assessment to long-term autonomous inspection systems.

• Medical Robotics
• Surgical Robotics
• Haptic Feedback Systems
• +۴ مورد دیگر

Marie-Aude Vitrani is a Lecturer at Sorbonne University (formerly UPMC), recruited in 2008. She is affiliated with the Institute of Intelligent Systems and Robotics (ISIR) where she is a member of the RPI-Bio team, specifically the AGATHE team focused on "Assistance with gestures and therapeutic applications." She also teaches in the Robotics Specialty at Polytech Sorbonne, the internal engineering school of Sorbonne University. Additionally, she serves as Deputy Director of CAPSULE ("Center for Educational Support and Experimentation Support") in charge of Innovative Teaching since 2018, and as Deputy Scientific Director of IUIS ("University Institute of Health Engineering") since 2020. Dr. Vitrani's research focuses on medical robotics, particularly in the domain of surgical assistance systems. Her work spans several key areas including: Robotic assistance for minimally invasive surgery Haptic feedback systems for surgical training and performance Ultrasound-guided interventions and robotic biopsy procedures Human-robot interaction in medical contexts Visual servoing and instrument guidance systems Her publication history from 2004 to 2024 demonstrates a clear evolution from foundational work in ultrasound-based visual servoing to increasingly specialized applications in surgical robotics. Recent publications show a strong emphasis on sensory augmentation for laparoscopic procedures, particularly in haptic feedback systems and stiffness perception devices. Her work bridges engineering principles with practical clinical applications, with a notable focus on prostate biopsy robotics and surgical training methodologies. Dr. Vitrani has established herself as a significant contributor to the field through publications in high-impact journals including IEEE Transactions on Robotics, International Journal of Computer Assisted Radiology and Surgery, and ACM Transactions on Human-Robot Interaction. As an educator and administrator, Dr. Vitrani plays a dual role in both advancing research in medical robotics and shaping innovative teaching practices through her leadership positions at CAPSULE and IUIS. Her work exemplifies the integration of robotics engineering with healthcare applications to improve surgical outcomes and medical training methodologies.

• Spacecraft Control Systems
• Guidance Navigation and Control (GNC)
• Space Robotics
• +۵ مورد دیگر

Dr. Leonard Felicetti is a Senior Lecturer in Space Engineering at Cranfield University, UK, where he leads research and teaching in guidance, navigation, and control (GNC) of space systems. Previously, he held positions at Luleå University of Technology (2015–2018) and the University of Glasgow (2015). He holds a Ph.D. in Space Systems from Sapienza University of Rome (2013) and an M.Sc. in Aerospace Engineering (2008). His research focuses on spacecraft control systems, space robotics, and space debris surveillance. Key areas include orbital/attitude control, formation flying, reusable launch vehicle landing, and optical sensor constellations for debris tracking. He has pioneered the OnOrbitROS framework for space robotics simulations, integrating ROS/Gazebo for realistic orbital conditions. Notable contributions include: Design of model predictive control strategies for reusable launchers Development of visual servoing algorithms for on-orbit robotics Optimization of Martian aerobot configurations Debris removal mission concepts for mega-constellations He has authored over 50 peer-reviewed articles and serves as a reviewer for journals like Acta Astronautica and the Journal of Guidance, Control, and Dynamics. His work bridges theoretical control systems with practical space mission applications.

Chao Shenمشاهده پروفایل

استادیار

• Robotics Control
• Autonomous Underwater Vehicles
• Model Predictive Control (MPC)
• +۵ مورد دیگر

Dr. Chao Shen is an Assistant Professor at the Department of Systems and Computer Engineering, Carleton University, within the Faculty of Engineering and Design. His research focuses on control theory, machine learning, and optimization applied to robotics systems, autonomous underwater vehicles (AUVs), and intelligent control of mechatronic systems. He leads the Robotics Control and Optimization Laboratory and has supervised multiple capstone projects, including a winning team in the 2022 departmental competition. Dr. Shen holds a PhD from the University of Victoria. He has been appointed as a Technical Editor for IEEE/ASME Transactions on Mechatronics (2023) and Associate Editor for IEEE Canadian Journal of Electrical and Computer Engineering (2022). He also served as Technical Program Chair for the 2022 IEEE Electrical Power and Energy Conference. His research interests include perception and navigation for robotics, cooperative control of multi-agent systems, and distributed model predictive control (MPC) for large-scale systems. Notable contributions include a recently published Springer book on 'Advanced Model Predictive Control for Autonomous Marine Vehicles' (2023) and award-winning work funded by NSERC Discovery Grants. Dr. Shen actively mentors graduate and undergraduate students in topics like robust MPC for visual servoing, UAV coordination, and energy-optimal control strategies. His lab offers funded PhD and MASc positions focusing on control theory applications in robotics and autonomous systems.

Gerhard Lakemeyerمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation
• Cognitive Robotics
• +۳ مورد دیگر

Gerhard Lakemeyer is a Professor and Chair of the Department of Computer Science at RWTH Aachen University, leading the Knowledge-Based Systems Group (KBSG). He is also affiliated with the Chair of Information Systems and Database at RWTH Aachen and the Department of Computer Science at the University of Toronto. His primary research interests include Artificial Intelligence, Knowledge Representation , and Cognitive Robotics , with a focus on applying these fields to robotics, autonomous systems, and industrial applications. His work spans theoretical advancements in AI planning, formal verification, and multi-agent systems, alongside practical implementations in robotics navigation, simulation frameworks (e.g., ROS 2), and data-driven systems for production processes. Lakemeyer’s contributions often bridge theoretical computer science with real-world applications, such as improving the reliability of service robots and enhancing cybersecurity in data-sharing systems. He has been involved in international collaborations, including the RoboCup Logistics League, where his teams have achieved notable successes through innovative robotics strategies. His recent publications highlight trends in explainable AI, anomaly detection, and the integration of AI into industrial settings like the 'World Wide Lab.' These efforts aim to advance autonomous systems, digital transformation in manufacturing, and sustainable urban management through interdisciplinary approaches. While no formal awards or grants are explicitly listed, his active role in academic leadership and collaborative research projects underscores his significant contributions to the field.

• Nonlinear Control
• Machine Learning
• Robotics
• +۵ مورد دیگر

Olav Egeland is a Professor at the Department of Mechanical and Industrial Engineering, NTNU. He holds a siv.ing (1984) and dr.ing (1987) in Electrical Engineering from NTNU. Previously, he served as Professor of Robotics at the Department of Engineering Cybernetics (1989–2004), and led Marine Cybernetics AS as CTO/CEO (2004–2011). His academic roles include Head of Department of Engineering Cybernetics (1996–1998), Vice Dean of Faculty of Electrical Engineering and Telecommunications, and Research Committee member at NTNU. He contributed to strategic programs like SFI Offshore Mechatronics and the Centre of Ships and Ocean Structures. His research focuses on nonlinear control, machine learning for mechanical systems, robotics, and offshore applications. Notable awards include the Automatica Prize Paper Award (1996) and IEEE Outstanding Paper Award (2000). He has supervised 85 MSc and 30 PhD students, with recent advisees exploring topics like robotic welding, Hamiltonian dynamics learning, and generative AI in robotics. Key projects include vision systems for offshore drilling, laser scanning for aluminum welding, and adaptive control algorithms. His work spans publications in IEEE Transactions, European Journal of Control, and Springer monographs, emphasizing modeling, simulation, and advanced control techniques. Education: Siv.ing (Electrical Engineering), NTNU, 1984 Dr.ing (Electrical Engineering), NTNU, 1987 Research Themes: Nonlinear control and adaptive systems Machine learning applications in robotics and offshore engineering Robotics vision and sensor-based control Offshore mechatronics and crane dynamics Grants & Roles: Strategic University Program in Marine Cybernetics (1997–2004) Work Package Lead in SFI Offshore Mechatronics Research collaborations in European Journal of Control and IEEE Transactions Labs & Teams: Active in NTNU’s robotics and control research groups, contributing to industrial partnerships like Marine Cybernetics AS and SFI initiatives.

Thomas Broxمشاهده پروفایل

استاد

• Computer Vision
• Deep Learning
• Visual Representation Learning
• +۴ مورد دیگر

Thomas Brox is a Professor for Pattern Recognition and Image Processing at the University of Freiburg , where he has headed the Computer Vision Group since 2010. He holds a PhD in computer science from Saarland University (2005) and has held postdoctoral positions at UC Berkeley, TU Dresden, and University of Bonn. Research Interests Education Publications & Awards Teaching & Leadership Roles His research focuses on computer vision and deep learning , particularly visual representation learning , video analysis , and training deep networks without manual supervision . He investigates how deep networks learn capabilities and applies these insights to action-perception cycles in robotics . Recent publications highlight trends in vision-language models , diffusion-based 3D generation , and anomaly detection . His work includes U-Net (seminal biomedical image segmentation) and FlowNet (optical flow estimation). Koenderink Prize (2014) ERC Starting Grant (2011) Longuet-Higgins Best Paper Award (2004) Multiple GCPR/ICCV/CVPR Best Paper Honors He teaches courses in Optimization , Statistical Pattern Recognition , and Computer Vision . He has served as Dean of Studies , Director of Computer Science Department , and will become Dean in 2026. His lab mentors 25+ PhD/MSc students and collaborates with institutions like Amazon (2020-2024).

• Robotics
• Micromanipulation
• Biomedical Engineering
• +۲ مورد دیگر

Houari Bettahar serves as an Academy Research Fellow at Aalto University within the School of Electrical Engineering and Department of Electrical Engineering and Automation. His research profile is hosted by Aalto University, with contact details including email houari.bettahar@aalto.fi and phone +358504440301. Dr. Bettahar's research spans Robotics, Micromanipulation, and Biomedical Engineering , focusing on precision manipulation at micro/nano scales. Key areas include: Development of robotic systems for fiber fabrication and cell adhesion studies Creation of low-cost platforms like FilMBot for high-speed micromanipulation Integration of AI and computer vision for robotic control optimization Electromagnetic manipulation of particles for biomechanical analysis Biomimetic approaches to material property enhancement Analysis of his 15 most recent publications (2020-2025) reveals a dominant focus on robotic micromanipulation applied to fiber-based systems and biological interactions. His work consistently integrates electromagnetic actuation , soft robotics , and Bayesian optimization to solve challenges in material science and biomedical engineering, with notable emphasis on cost-effective instrumentation and real-time force control. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not found in the provided materials. Dr. Bettahar is affiliated with the Robotic Instruments research group at Aalto University, which specializes in developing robotic solutions for microscale manipulation challenges across biomedical and industrial applications.

Eric Sommerladeمشاهده پروفایل

پژوهشگر

• Active Vision
• Surveillance Systems
• Visual Tracking
• +۹ مورد دیگر

Eric Sommerlade is a Post-Doctoral Research Assistant in the Active Vision Group at the University of Oxford Engineering Department . He completed his DPhil in Engineering Science in 2011, focusing on surveillance with active cameras , and previously earned a Diploma in Electrical Engineering from the Technical University of Hamburg. Education : DPhil in Engineering Science (2011), University of Oxford; Diploma in Electrical Engineering, Technical University of Hamburg His research centers on active vision systems for surveillance, particularly visual tracking , camera control algorithms , and information-theoretic approaches to sensor planning. Key themes include multi-camera coordination , trajectory prediction , and real-time SLAM for surveillance simplification. Eric has contributed to 15 publications (2008–2012) spanning conferences like ICRA, CVPR, IROS, and BMVC, with a focus on surveillance systems , visual tracking , adaptive control , and information theory . His work includes probabilistic multi-camera surveillance, cognitive active vision, and entropy-driven exploration strategies. He received funding for his DPhil through the EC grant IST-027110 for the HERMES project under the EU's Sixth Framework Programme. He has collaborated with researchers such as Professor Ian Reid, Ben Benfold, and Nicola Bellotto. Eric has also engaged in teaching activities , including demonstrating Electrical Machines, Computing Labs, and C++ coursework modules. His professional contributions extend to peer reviewing for leading conferences and journals.

• 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.

Seth Hutchinsonمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Control Theory
• +۵ مورد دیگر

Seth Hutchinson is a distinguished roboticist currently serving as Professor and KUKA Chair for Robotics in the School of Interactive Computing at the Georgia Institute of Technology (2018-2024), where he also served as Executive Director of the Institute for Robotics and Intelligent Machines starting in 2019. He is additionally an Emeritus Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Beginning January 2025, he will be joining Northeastern University. His academic journey spans multiple prestigious institutions with a focus on robotics, control theory, and computer vision. Dr. Hutchinson's research interests span a broad range of topics in robotics, including: Robotics and Autonomous Systems Computer Vision and Visual Servoing Control Theory and Motion Planning Machine Learning and Reinforcement Learning Applications Human-Robot Interaction Multi-Robot Systems His recent publications demonstrate a strong focus on cutting-edge robotics research, with particular emphasis on reinforcement learning for locomotion, safety-aware planning, and vision-based navigation. His work bridges theoretical foundations with practical applications, spanning from quadrupedal locomotion to autonomous surface vehicles and human-robot interaction. The publications reveal a consistent thread of addressing fundamental challenges in robotics while pushing the boundaries of what's possible in areas like sim-to-real transfer, emotion-aware navigation, and architectural-scale robotic art. Dr. Hutchinson has held significant leadership positions, including serving as Executive Director of the Institute for Robotics and Intelligent Machines at Georgia Tech. His academic contributions extend beyond research to include educational leadership and professional service within the robotics community. His academic journey includes a sabbatical period in Rome during Fall 2013, where he engaged with La Sapienza (the University of Roma) while continuing his robotics research. This international experience demonstrates his commitment to global collaboration in advancing robotics science.