جستجوی استاد راهنمای دانشگاهی

Roberto Tron is an Assistant Professor in the Mechanical Engineering and Systems Engineering departments at the Boston University College of Engineering , with his office located at 110 Cummington Mall. His research integrates control theory, robotics, and computer vision to solve complex multi-agent coordination problems. His primary research interests focus on Riemannian geometry applications , distributed multi-agent systems , and safety-critical control . Key methodologies include Control Barrier Functions (CBFs), Riemannian optimization, and distributed consensus algorithms, with applications spanning autonomous aerial vehicles, robotic manipulation, and multi-robot security systems. Analysis of his recent publications reveals a strong emphasis on safety verification and real-time optimization for autonomous systems. His work consistently bridges theoretical foundations in nonlinear control with practical implementations in robotics, particularly addressing challenges in limited sensor fields of view, distributed task allocation, and noise-robust navigation. The research shows increasing integration of formal methods like Signal Temporal Logic with learning-based approaches. Tron received his Ph.D. from The John Hopkins University and previously conducted post-doctoral research at the GRASP Lab, University of Pennsylvania. His work demonstrates significant contributions to provably safe autonomous systems through frameworks like the Control Barrier Function Toolbox.

• Control Theory
• Robotics
• Computer Vision
• +۴ مورد دیگر

Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.

• Control Theory
• Automatic Control
• Complex Dynamical Systems
• +۶ مورد دیگر

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +۹ مورد دیگر

Fabio Ruggiero serves as Associate Professor of Control and Robotics at the University of Naples Federico II, where he leads the Dynamic Manipulation and Legged Robotics (DynLeg) research topic within the PRISMA Lab. He holds significant leadership positions including Chair of the IEEE Italy RAS Chapter and Associate Editor for the IEEE Transactions on Robotics. His research has secured over 1.2M EUR in European/Italian project funding, most recently for the COWBOT project. Professor Ruggiero's research spans multiple cutting-edge robotics domains with particular expertise in model-based control design for robotic systems. His work focuses on dexterous manipulation techniques (both prehensile and nonprehensile), aerial robotics including UAV manipulation and failure recovery, and legged locomotion for both biped and quadruped platforms. His research integrates advanced control theory with practical implementation challenges in dynamic environments. His publication record demonstrates consistent contributions across robotics subfields, with recent work emphasizing aerial manipulation capabilities, dynamic grasping techniques, and legged locomotion control. The research shows progression from fundamental control algorithms toward increasingly complex real-world applications, particularly in unstructured environments requiring adaptive behaviors. As an active member of the robotics community, Professor Ruggiero contributes through editorial work with IEEE Transactions on Robotics and leadership of the IEEE Italy RAS Chapter, helping to shape the direction of robotics research both nationally and internationally. His teaching responsibilities include thesis supervision across multiple robotics domains, with students working on projects related to UAV control, manipulation techniques, and legged locomotion. The research group maintains strong connections with international collaborators and industry partners, facilitating technology transfer and practical applications of theoretical advances. The PRISMA Lab, where Professor Ruggiero conducts his research, serves as a hub for robotics innovation in Southern Italy, featuring specialized facilities for aerial robotics, manipulation research, and legged locomotion studies. The lab supports multiple research lines that intersect through shared control methodologies while addressing domain-specific challenges.

• Robotics
• Control Systems
• Aerial Manipulation
• +۵ مورد دیگر

Guillaume Caron is an Associate Professor at the Université de Picardie Jules Verne (France) and holds a delegation at the CNRS-AIST Joint Robotics Laboratory (JRL) in Tsukuba, Japan. He leads the Perception team at JRL since April 2021 and co-directs the laboratory since 2022. His academic roles include being an enseignant-chercheur (lecturer-researcher) in robotic vision and habilitated to supervise research. He has collaborated with institutions like AIST, INRIA, and companies such as Kawasaki Heavy Industries and Thales Optronique SA. Research Interests : His work focuses on robotic vision systems, adaptive cameras, visual servoing, and applications in cultural heritage preservation and medical robotics. He develops advanced imaging techniques (e.g., hyperspectral, omnidirectional) and integrates them into robotic systems for tasks like autonomous navigation, object manipulation, and assistive technologies. Recent projects include spherical vision-based wheelchair assistance and teleoperated humanoid robots in nursing contexts. Publications : His most recent work addresses multimodal navigation leveraging large language models, spherical image representations for robotics, and illumination compensation in hyperspectral imaging. He also explores cybernetic avatars for telepresence and modular assistive smart wheelchairs. Responsibilities : He co-organizes workshops on e-Heritage and chairs the IAPR Technical Committee on Computer Vision for Cultural Heritage. He serves on the CNRS-AIST JRL steering committee and the AFRIF administration board. His educational roles include leading the RVI professional license program at UPJV until 2019. Labs/Teams : Active in the MIS laboratory (Amiens) and the CNRS-AIST JRL, working on projects like the Coalas neuro-rehabilitation system and the MuSeM multispectral dataset for mobile robotics.

• Robotics
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Pedro Delgado Roque is a Postdoctoral Researcher at the Royal Institute of Technology (KTH) in Stockholm, affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP). He is part of the Division of Decision and Control Systems (DCS) and leads the establishment of the Space Robotics Laboratory at KTH. His research focuses on Space Robotics, Control Theory, and Computer Vision, with contributions to projects like DISCOWER, Space Cobot, and MoonHopper. He obtained his Ph.D. in 2024 under Professors Dimos Dimarogonas, Mikael Johansson, and Jana Tumova. **Research Interests**: Space Robotics: Weightless robotics, collaborative robotics, exploration robotics. Control Theory: Model predictive control, collaborative load transportation. Computer Vision: Visual-servoing, distributed vision systems. **Awards**: ICRA 2022 Outstanding Coordination Award for work on decentralized collaborative UAV control. **Advising**: Supervised 11+ Master's and thesis students, including works on failsafe control for space systems, predictive controllers in microgravity, and multi-agent inspection systems. Collaborated with NASA Astrobee and PX4 projects. **Labs & Projects**: Co-founded the DISCOWER project with 4 PhD students, 2 master students, 6 professors, and a postdoc team. Developed the Space CoBot aerial robot for indoor microgravity testing.

• Space Robotics
• Control Theory
• Computer Vision

François Chaumette is a Senior Research Scientist (Directeur de recherche) at Inria, affiliated with IRISA and the Centre Inria de l'Université de Rennes. He has been a key researcher in robotics and computer vision since 1990 and led the Lagadic research team from 2004 to 2017. His research interests are centered on robot vision, particularly visual servoing and active perception . He has made foundational contributions to image-based and position-based visual servoing, and his work integrates control theory, computer vision, and robotics. His research spans applications in mobile robotics, aerial systems, medical robotics, space robotics, and soft object manipulation. The recent publications highlight a consistent focus on visual servoing under complex constraints—such as motion blur, occlusions, and deformations—applied to drones, cable-driven robots, and space systems. There is a strong emphasis on robustness , stability analysis , and hybrid sensing (e.g., vision + proximity, vision + force). His work with the RemoveDebris mission demonstrates real-world impact in space robotics. AFCET/CNRS Prize for best Ph.D. in Automatic Control Best paper awards at RFIA 1996 & 2004 Best paper in IEEE T-RA (2002) Best paper in IEEE RA-L (2019) Best paper in IEEE RAM (2020) IEEE Fellow (2013) He has advised over 30 Ph.D. students, many of whom have become active researchers in robotics. He has served in editorial roles for top journals including IEEE Transactions on Robotics , IEEE Robotics and Automation Letters , and the International Journal of Robotics Research . He was elected to the IEEE RAS Administrative Committee (2016–2018) and served on ERC grant panels for robotics. Chaumette is the main developer of ViSP (Visual Servoing Platform), a widely used C++ library for visual tracking and servoing. His leadership in both theoretical advances and software tools has significantly shaped the visual servoing community.

• Robotics
• Computer Vision
• Visual Servoing
• +۱۷ مورد دیگر

Dr. Yulia Sandamirskaya is the Head of Research Center "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW), focusing on neuromorphic computing applications for embodied artificial intelligence. Her work bridges computational neuroscience and robotics, emphasizing neural-dynamic architectures for real-time decision-making, learning, and sensorimotor integration in autonomous agents. Key Research Areas: Neuromorphic hardware, dynamic neural fields, spiking neural networks, spatial language modeling, and autonomous sequence generation. Projects: Developed controllers for UAVs and robotic arms using event-based vision sensors, explored on-chip unsupervised learning, and designed models for spatial language interpretation in robots. Scientific Contributions: Her publications span robotics conferences and journals like Science Robotics and Frontiers in Neurorobotics , addressing topics such as path integration, obstacle avoidance, and cognitive architectures. Recent work (2024) includes visual odometry with resonator networks and hyperdimensional scene factorization on neuromorphic chips. Advising: Supervised multiple MSc theses at ETH Zurich and NSC/INI programs, mentoring students on neuromorphic navigation, spiking networks, and tactile learning. Collaborated with institutions like ETH Zurich, University of Queensland, and INI Bochum. Labs & Collaborations: Leads the "Neuromorphic Computing Applications: Embodied AI" group at ZHAW, partnering with INIvation (Zurich) and Jörg Conradt (KTH) on neuromorphic hardware implementations. Projects integrate cognitive models with robotic platforms, emphasizing energy efficiency and low-latency interaction.

• Neuromorphic Computing
• Embodied Artificial Intelligence
• Robotics
• +۶ مورد دیگر

Pascal Morin serves as a University Professor at Sorbonne University within the Faculty of Science and Engineering. He is an active member of the ASIMOV research team at the Intelligent and Robotic Systems Institute (ISIR), located at 4 Place Jussieu in Paris. His office H17 serves as the base for his research activities in advanced robotics and control systems. Professor Morin's research focuses on cutting-edge robotics applications, particularly in unmanned aerial vehicle navigation and control systems. His work spans nonlinear control theory, visual servoing techniques, and micro air vehicle development. Key interests include homography estimation for image stabilization, thermal anemometry for airflow sensing, and obstacle avoidance algorithms for precision robotics. His publications demonstrate consistent innovation in combining theoretical control frameworks with practical robotic implementations. Analysis of his 15 most recent publications reveals strong thematic continuity in UAV navigation systems, with increasing integration of deep learning techniques since 2020. His work consistently addresses GPS-denied environments and sensor fusion challenges, with notable contributions to thermal-based odometry and visual-inertial navigation systems. The research trajectory shows progression from theoretical control frameworks toward increasingly complex real-world applications including power line inspection and microscopy manipulation. Professor Morin actively collaborates with major aerospace institutions including ONERA and DLR, as evidenced by his participation in the EuRoC challenge. His editorial work on MAV navigation special collections demonstrates leadership in the micro air vehicle research community. While specific grant details aren't provided in the source material, his sustained publication output across multiple high-impact journals indicates successful funding acquisition. As a core member of the ASIMOV team at ISIR, Professor Morin contributes to Sorbonne University's leadership in robotics research. The team maintains strong industry connections through publications in Aerospace Lab and collaborations with organizations like AIAA. Current research directions appear focused on thermal sensor integration for MAVs and nonlinear control solutions for challenging operational environments.

• Robotics
• Control Systems
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Dr Andrew Razjigaev is a PhD Researcher at the Queensland University of Technology (QUT), affiliated with the Medical Robotics Group within the QUT Centre for Robotics. He holds a Mechatronics Engineering degree from QUT (2017) and has been involved in the Medical Robotics Group since 2016, contributing to projects like teleoperating snake robots via hand gestures and visual servoing systems. His research focuses on surgical robotics, particularly developing continuum robots for vision-based teleoperated minimally invasive surgeries. Education: Bachelor of Mechatronics Engineering, Queensland University of Technology (2017) Research interests include robot arm kinematics, robotic vision, and teleoperation systems. His work integrates computational design algorithms with patient-specific surgical needs, advancing the field of minimally invasive surgery through snake-like manipulators and robotic collaboration (e.g., RAVEN II integration). He has also contributed to projects like CARTMAN, a low-cost Cartesian manipulator that won the Amazon Robotics Challenge, and semantic segmentation techniques for limited training data. He served as President of the QUT Robotics Club in 2018, developing robot arm workshops focused on control systems and computer vision for students. His contributions span surgical robotics, competition robotics, and medical automation, with a strong emphasis on practical applications and interdisciplinary collaboration.

• Medical Robotics
• Surgical Robotics
• Robot Kinematics
• +۳ مورد دیگر

Pedro Arroz Correia Bonifácio Serra is a researcher in the Department of Electrical and Computer Engineering at Universidade Lusófona, specializing in Guidance, Navigation, and Control (GNC) systems for aerospace and robotic applications. His work is closely aligned with European Space Agency (ESA) missions such as e.Deorbit, COMRADE, GUIBEAR, and HERACLES, focusing on active debris removal, on-orbit servicing, and autonomous spacecraft operations. Research Interests: His primary research areas include Guidance, Navigation and Control (GNC), space robotics, autonomous systems, image-based visual servo control, fault-tolerant control, and nonlinear control systems. He has made significant contributions to the development and validation of control architectures for capturing tumbling satellites and enabling autonomous landing of UAVs and spacecraft. The most recent publications reflect a strong emphasis on space safety, debris removal technologies, and computational GNC for complex space missions. His work bridges theoretical control design with practical ground validation, particularly in the context of ESA-led projects. The recurring themes across his publications include autonomous rendezvous, manipulator control for space robots, and robust GNC under uncertain conditions. Scientific Contributions: Key contributor to ESA's e.Deorbit mission studies, focusing on capture and deorbiting of defunct satellites like Envisat. Developed and tested GNC systems for the HERACLES lunar ascent element. Involved in the COMRADE project for combined control of robotic spacecraft and manipulators. Worked on GUIBEAR project for bearings-only rendezvous navigation. Advising and Grants: While no formal students are listed, his research is supported by major European space initiatives, likely involving collaborative grants from ESA and industrial partners such as Airbus. His work involves experimental validation and prototype development, indicating access to advanced research funding and facilities. Labs and Teams: Although specific lab affiliations are not mentioned, his involvement in projects like WMS LEMUR and e.Deorbit suggests collaboration with ESA’s GNC teams and space robotics laboratories focused on on-orbit servicing and debris removal technologies.

• Guidance Navigation and Control (GNC)
• Space Robotics
• Autonomous Systems
• +۷ مورد دیگر

Giuseppe Oriolo is a Full Professor of Automatic Control and Robotics at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, where he has been since 1994. He coordinates the DIAG Robotics Lab and has held teaching positions at the University of Siena, University of Cassino, and Roma Tre. Oriolo was a Visiting Scholar at the University of California, Santa Barbara, and serves on various editorial and program committees, including IEEE Transactions on Robotics and international conferences like ICRA and IROS. Education : Ph.D. in Systems Engineering (1992), Sapienza University of Rome His research focuses on robotics and control theory, particularly in robot control, motion planning, trajectory optimization, redundant robotic systems, control of underactuated systems, sensor-based localization, navigation for mobile robots, humanoid robots, and visual servoing. He has over 230 publications and contributes to advanced robotics frameworks. Recent publications highlight his work on Model Predictive Control (MPC) for humanoids and mobile robots, emphasizing robustness, singularity-free trajectories, and decentralized cooperation. His research addresses dynamic constraints, feasibility, and real-time adaptation in complex environments. Scientific Awards : 2017 IEEE Fellow, 2020 IEEE Robotics and Automation Magazine Best Paper Award, 2016 ANTS Best Paper Award, 2024 Human-Friendly Robotics Best Paper Award Oriolo's teaching includes Control Systems at Sapienza, with past roles in courses like Adaptive Systems, Nonholonomic Control, and Underactuated Robots. He has mentored numerous advisees through publications and lab activities. He leads the DIAG Robotics Lab, fostering innovation in humanoid robots, autonomous systems, and control theory.

• Robotics
• Control Systems
• Autonomous Mobile Robots
• +۳ مورد دیگر

Haoxiang Lang serves as Department Chair and Associate Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University's Faculty of Engineering and Applied Science. His laboratory, GRASP Lab, focuses on advanced robotics and intelligent systems research. Education: PhD in Mechanical Engineering, University of British Columbia (2013) MASc in Mechanical Engineering, University of British Columbia (2008) BSc in Marine Engineering, Ningbo University (2003) Dr. Lang's research spans mechatronics, autonomous robotics, visual servoing, and machine learning. His work focuses on developing advanced control systems for robotic manipulation, autonomous vehicle navigation, and sensor fusion techniques. Recent projects include vision-based combat vehicle control, deep learning for aerial image processing, and thermal management for robotic systems. His publications demonstrate strong emphasis on robotic perception-control integration, with recurring themes in visual servoing, sensor fusion, autonomous navigation, and machine learning applications in robotics. Recent works increasingly incorporate deep neural networks for complex tasks like object manipulation and environment mapping. Dr. Lang leads the GRASP Lab, which develops experimental platforms including autonomous combat vehicles and robotic manipulators. The lab focuses on practical implementations of control theories and collaborates on industrial applications.

• Mechatronics
• Autonomous Robotics
• Visual Servoing
• +۳ مورد دیگر

Roberto Oboe is an Associate Professor at the University of Padova's Department of Management Engineering. His research focuses on advanced motion control systems, mechatronics, and robotics, with notable contributions to remote handling systems for nuclear facilities, admittance control methodologies, and sensor technology integration in industrial and aerospace applications. He has led projects involving SPES (Selective Production of Exotic Species) facility automation, haptic feedback systems, and UAV localization. His technical work spans multiple disciplines including robotic control, nuclear engineering safety protocols, and sensor-based anomaly detection. Key projects include the development of intelligent remote handling systems for radioactive materials and the optimization of bilateral teleoperation systems. He actively contributes to IEEE editorial boards and serves as a Ph.D. examiner. Research highlights include: Admittance control frameworks for high-stiffness robotic interactions Pioneering work on MEMS-based mirror control systems Development of semi-quantitative risk assessment methodologies Advancements in indoor UAV navigation systems Publications emphasize practical applications with over 50 peer-reviewed articles since 2016, covering topics from neuronal avalanche analysis to industrial servopositioner improvements.

• Robotics
• Mechatronics
• Motion Control
• +۵ مورد دیگر

Lei Shi is a Researcher at the Institute for Visualization and Interactive Systems (VIS) within the Collaborative Artificial Intelligence department at the University of Stuttgart, Germany . Their work focuses on integrating machine learning, human-robot interaction, and safety control systems. Research Areas: Human-Robot Interaction, Bayesian Deep Learning, Visual Servoing, Eye Tracking Key Techniques: Graph Convolutional Networks, Predictive Modeling, Feature Descriptors Recent publications highlight their contributions to gaze-based interaction safety, dropout placement in neural networks, and predictive tuning methodologies. They operate from Room 01.029, Pfaffenwaldring 5a, 70569 Stuttgart.

• Machine Learning
• Artificial Intelligence
• Human-Robot Interaction
• +۱۲ مورد دیگر