جست‌وجوی استاد و پژوهشگر

Theodoros Papafotiouمشاهده پروفایل

پژوهشگر

• Robotics
• Control Systems
• Intelligent Systems
• +۱ مورد دیگر

Theodoros Papafotiou serves as a Doctoral Assistant at the Reconfigurable Robotics Lab (RRL) within the Institute of Mechanical Engineering at the School of Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL). He is concurrently enrolled in the Doctoral Program in Robotics, Control, and Intelligent Systems. His research encompasses key areas in robotics and intelligent systems: Robotics : Development of reconfigurable robotic systems. Control Systems : Advanced control strategies for dynamic robotic applications. Intelligent Systems : Application of artificial intelligence in robotic autonomy. Based at EPFL's campus in Lausanne, Mr. Papafotiou's office is located in MED 1 2313, and he can be contacted via email at theodoros.papafotiou@epfl.ch .

Sethu Vijayakumarمشاهده پروفایل

استاد

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

Professor Sethu Vijayakumar is a globally recognized expert in School of Informatics , University of Edinburgh , holding a Personal Chair in Robotics and the Microsoft Research-RAEng Chair . He serves as Programme Director for Robotics and AI at The Alan Turing Institute and Director of the Edinburgh Centre for Robotics . PhD in Computer Science (1998) from Tokyo Institute of Technology Adjunct Faculty at University of Southern California Visiting Research Scientist at ATR Computational Neuroscience Labs , Kyoto Research Interests focus on Robotics , Statistical Machine Learning , Humanoid Locomotion , Shared Autonomy , and Computational Neuroscience . His work bridges anthropomorphic robot control , prosthetics , and dynamic environment interaction , exemplified by collaborations with NASA on the Valkyrie humanoid robot for Mars missions. Scientific Contributions include over 160 publications, with notable RSS Best Paper Finalist (2019), CoRL Best Paper Finalist (2018), and IEEE T-RO Best Paper Award (2013). His Statistical Learning & Motor Control (SLMC) Lab pioneers real-time motion planning , impedance control , and human-robot symbiosis . Outreach : TED Talks, BBC micro:bit initiative, and Robot Wars judge (Series 8-10) Awards : 2015 Tam Dalyell Prize IEEE Vincent Bendix Award Royal Society of Edinburgh Fellow RAEng Senior Research Fellowship

Kaveh Ashenayiمشاهده پروفایل

استاد

• Intelligent Systems
• Power Systems
• Integrated Renewable Energy Systems (IRES)
• +۴ مورد دیگر

Kaveh Ashenayi is Chair and Professor of Electrical and Computer Engineering at the University of Tulsa , specializing in Intelligent Systems and power systems. His research focuses on integrating renewable energy systems (IRES) into utility grids through advanced power electronics and safety-assured AI controllers. Education: Ph.D., Electrical Engineering, Oklahoma State University (1986) B.S., Electrical Engineering, Oklahoma State University (1981) His work spans fault detection in UAVs , multi-port DC-DC converters , and AI-based autonomous controllers . Recent publications highlight advancements in drone fault detection, space-grade converters, and renewable energy system modeling. Scientific awards include multiple patents for innovations like the Aerial Camera System (US8199197B2), Optical pH Sensor (US7961327B2), and medical diagnostics systems. He leads the Vehicle Autonomy and Intelligence Lab (VAIL) , mentoring students in autonomous systems research, and has contributed to engineering education through curriculum development initiatives.

Reza Ahmadzadehمشاهده پروفایل

دانشیار

• Robot Learning
• Human-Robot Interaction
• Machine Learning
• +۶ مورد دیگر

Reza Ahmadzadeh is an Associate Professor at the Miner School of Computer & Information Sciences within the Kennedy College of Sciences at the University of Massachusetts Lowell . He directs the PeARL Lab (Persistent Autonomy and Robot Learning), focusing on robot learning algorithms for autonomy and human-robot interaction. Ph.D. in Robotics, Cognition, and Interactive Technologies (2015) - University of Genoa & Italian Institute of Technology His research spans Robot Learning , Reinforcement Learning , and Learning from Demonstration , with applications in Autonomous Underwater Vehicles , Mobile Manipulation , and Humanoid Robotics . His lab has produced 15+ recent papers on topics like skill generalization , malfunction recovery , and trust modeling , leveraging both geometric and probabilistic approaches. Scientific contributions include: NSF CAREER Award (2019) Multiple best paper awards at robotics conferences Microsoft Robotics Ph.D. Scholarship (2011) He has mentored numerous graduate students who have defended theses in areas such as: Quadruped stability analysis Exoskeleton control adaptation Human-robot trust studies The PeARL lab collaborates with local robotics companies in Massachusetts' high-tech corridor, and maintains active research programs in: Autonomous underwater manipulation Visuospatial skill learning Reactive behavior learning Trust modeling in human-robot teams

• Robotics
• Marine Robotics
• Unmanned Systems
• +۵ مورد دیگر

Nina Mahmoudian is an Associate Professor in the Department of Mechanical Engineering at Purdue University's College of Engineering. She holds a Ph.D. in Aerospace Engineering from Virginia Tech and completed postdoctoral work at the University of Maryland. Dr. Mahmoudian is a recipient of the NSF CAREER Award (2015) and Office of Naval Research Young Investigator Program Award (2015), and was recognized as an Emerging Scholar by Diverse: Issues in Education (2016). Research Interests Robotics Marine Robotics Unmanned Systems Energy Autonomy Control Systems Her research focuses on developing control systems for autonomous vehicles in harsh environments, particularly addressing challenges in underwater and aerial robotics. Recent publications highlight advancements in underwater glider control, vision-driven UAV river navigation, and multi-robot energy replenishment systems. Scientific Awards NSF CAREER Award (2015) ONR Young Investigator Program (2015) Emerging Scholar by Diverse: Issues in Education (2016) Dr. Mahmoudian actively contributes to STEM education through robotics programs and has pioneered low-cost educational platforms like the GUPPIE underwater robot.

• Robotics
• Machine Learning
• Human-Robot Interaction
• +۲ مورد دیگر

Christpher Atkeson is a Researcher at Carnegie Mellon University, affiliated with the Robotics Institute within the School of Computer Science. His work focuses on advancing robotic capabilities through computational learning methods and adaptive control systems. His primary research domains emphasize: Robotics: encompassing dynamic modeling, manipulation, and locomotion control Machine Learning: specializing in reinforcement learning and imitation techniques for robotic skill acquisition Human-Robot Interaction: developing frameworks for intuitive human-robot collaboration and teaching Computer Vision: enabling robotic perception for object recognition and scene understanding Dr. Atkeson's research program addresses fundamental challenges in robot autonomy, with applications spanning industrial automation, assistive technologies, and human-centered robotics systems.

Fabian Jakobمشاهده پروفایل

پژوهشگر

• Control Theory
• Machine Learning
• Optimization Algorithms
• +۳ مورد دیگر

Fabian Jakob is a Doctoral Researcher at the Institute for Systems Theory and Automatic Control , University of Stuttgart, focusing on control theory and optimization algorithms since 2024. Previously, he worked as a Research Engineer at the Munich Institute of Robotics and Machine Intelligence (2023–2024) and completed his Master’s in Engineering Cybernetics at the University of Stuttgart (2020–2022). Research Interests include: Control theory and its intersection with machine learning Time-varying optimization algorithms and their stability analysis Passivity-based control for high-frequency robotics Quantum computing applications in semiconductor evaluation Recent Publications highlight his work on integrating online convex optimization with integral quadratic constraints for regret analysis, developing linear parameter-varying frameworks for optimization algorithms, and advancing robot cloud control systems and semiconductor quantum dot evaluation via machine learning. Teaching : Organized the Lab 'Introduction to Control Theory' in Summer 2024. Affiliated with the Trustworthy Autonomy for Smart Adaptive Systems group under Prof. Dr. Andrea Iannelli.

Shreyas Kousikمشاهده پروفایل

استادیار

• Robotics
• Autonomy
• Collision Avoidance
• +۶ مورد دیگر

Shreyas Kousik is an Assistant Professor in the Woodruff School of Mechanical Engineering at the Georgia Institute of Technology, affiliated with the College of Engineering. He leads the Safe Robotics Lab, focusing on translating mathematical safety guarantees to real-world robotic systems through uncertainty modeling and collision avoidance methods. Education: Ph.D. in Mechanical Engineering, University of Michigan (Advisor: Prof. Ram Vasudevan) B.S. in Mechanical Engineering, Georgia Institute of Technology (Advisor: Prof. Antonia Antoniou) Research Focus: His work bridges autonomy theory and practical implementation, specializing in: (1) Real-time safety verification for robotic systems, (2) Reachability-based trajectory design under uncertainty, (3) Neural network applications for safe control, and (4) Human-centered robotic interactions. Primary methodologies include zonotope-based reachability analysis, model predictive control, and imitation learning frameworks. Publications: Recent works demonstrate strong emphasis on safety-critical applications including manipulator control (2025), bipedal social navigation (2024), and autonomous vehicle planning (2023). Predominant themes include real-time verification, uncertainty quantification, and integration of learning-based methods with formal guarantees. Technical Contributions: Developed open-source tools including the Reachability-based Trajectory Design (RTD) framework and robot simulator. Contributes to robotics infrastructure through GitHub repositories focused on trajectory optimization and control implementations.

Sarah H.Q. Liمشاهده پروفایل

استادیار

• Game Theory
• Stochastic Control
• Optimization
• +۸ مورد دیگر

Sarah H.Q. Li is an Assistant Professor in the Daniel Guggenheim School of Aerospace Engineering and a member of the Institute for Robotics and Intelligent Machines (IRIM) at the Georgia Institute of Technology. Prior to this, she was a postdoctoral scholar at ETH Zurich’s Autonomous Control Lab and earned her Ph.D. in Aeronautics and Astronautics from the University of Washington (advised by Behçet Açıkmeşe and Pierre-Loïc Garoche) and a B.A.Sc. in Engineering Physics from the University of British Columbia. Ph.D., Aeronautics and Astronautics, University of Washington B.A.Sc., Engineering Physics, University of British Columbia Postdoctoral Scholar, Autonomous Control Lab, ETH Zurich Her research focuses on multi-agent models and algorithms for future air/space mobility systems, combining game theory, stochastic control, and optimization. Key applications include urban transportation, advanced air mobility, and space collision avoidance. She has contributed to congestion-aware path coordination, Markovian network equilibrium, and safety-critical operations under uncertainty. Recent scientific awards include the 2020 Zonta International Amelia Earhart Fellow and the 2022 University of Washington Condit Graduate Fellow. She has presented invited seminars at institutions like UT Austin, University of Michigan, and ETH Zurich. Her lab (IRIM) explores large-scale autonomy, with software tools such as a Python package for ride-hail driver competition models. She actively seeks graduate students interested in advanced air mobility, supply chains, and space traffic.

Jonathan Rogersمشاهده پروفایل

دانشیار

• Autonomy
• Robotics
• Automation
• +۵ مورد دیگر

Jonathan Rogers serves as an Associate Professor in the Woodruff School of Mechanical Engineering at the Georgia Institute of Technology's College of Engineering. He joined Georgia Tech in Fall 2013 after previously holding an Assistant Professor position in Aerospace Engineering at Texas A&M University from 2011 to 2013. His office is located in the MRDC Building, Room 4503, and he maintains affiliation with the Institute for Robotics and Intelligent Machines (IRI) as Core Faculty in Robotics. His research centers on Autonomous Systems , with significant contributions across Robotics , Automation , and Mechatronics . Specialized expertise includes Applied Dynamics , Computational Automation , and advanced methodologies in Nonlinear Control and Estimation . His work develops computational frameworks for autonomous operation in complex environments, emphasizing robust control strategies for robotic systems. Dr. Rogers maintains active industry connections through IRI's Robotics consortium while directing research in the Woodruff School's mechanical engineering facilities. His interdisciplinary approach bridges theoretical control systems with practical robotic implementations.

Panagiotis Tsiotrasمشاهده پروفایل

استاد

• Nonlinear Control
• Optimal Control
• Artificial Intelligence
• +۵ مورد دیگر

Panagiotis Tsiotras holds the David & Andrew Lewis Endowed Chair in the Daniel Guggenheim School of Aerospace Engineering at Georgia Tech and serves as Associate Director at the Institute for Robotics and Intelligent Machines (IRIM). His research focuses on nonlinear/optimal control, AI integration, planning, and decision-making for autonomous ground, aerial, and space systems. Education: Dipl.Eng. Mechanical Engineering, National Technical University of Athens, 1986 M.S. Aerospace Engineering, Virginia Tech, 1987 M.S. Mathematics, Purdue University, 1992 Ph.D. Aeronautics and Astronautics, Purdue University, 1993 Research: Primary interests include autonomous vehicle control, robotics, AI-driven decision-making, and multi-agent systems. His work bridges theoretical control frameworks with applications in aerospace robotics, featuring advanced algorithms for navigation, safety verification, and large-scale system coordination. Recent themes involve stochastic control, distribution steering, and real-time safety guarantees. Awards: IEEE Technical Excellence Award in Aerospace Controls NSF CAREER Award Outstanding Aerospace Engineer Award (Purdue) Sigma Xi Excellence in Research Award Fellow of AIAA, IEEE, and AAS Leadership: Directs the Dynamics and Control Systems Laboratory (DCSL) and collaborates with the Vertical Lift Research Center of Excellence (VLRCOE) and Decision and Control Laboratory (DCL). Editorial roles include Chief Editor of Frontiers in Robotics & AI and Associate Editor for multiple control journals.

Yongxin Chenمشاهده پروفایل

دانشیار

• Control Theory
• Machine Learning
• Robotics
• +۹ مورد دیگر

Yongxin Chen is an Associate Professor in the School of Aerospace Engineering at the Georgia Institute of Technology. He received his BSc in Mechanical Engineering from Shanghai Jiao Tong University (2011) and a PhD in Mechanical Engineering from the University of Minnesota (2016). Prior to joining Georgia Tech, he held positions as a Research Fellow at Memorial Sloan Kettering Cancer Center (2016-2017) and an Assistant Professor at Iowa State University (2017-2018). His research spans control theory, machine learning, robotics, and optimal transport. Key areas include developing efficient MCMC algorithms, advancing diffusion models for generative AI, and integrating uncertainty synthesis into control systems. He leads the Foundations of Learning And Intelligent Robots (FLAIR) lab, relocated to Georgia Tech's CODA building in 2024, focusing on systems that harmonize autonomy, stochastic control, and optimization. 2023 : Best Paper at NeurIPS and CoRL, plenary talks at ACC and MTNS. 2022 : Donald P. Eckman Award, plenary talk at ACC. 2021 : Simons-Berkeley Fellowship and Balakrishnan Award. 2020 : NSF CAREER Award. His recent publications emphasize diffusion models (e.g., DEIS, gDDIM, DiffCollage) and optimal transport applications. He has graduated three PhD students and mentors active researchers in generative AI, robotics, and control theory. Collaborations include institutions like Duke, University of Minnesota, and international visitors.

• Human-Robot Interaction
• Artificial Intelligence
• Social Robotics
• +۶ مورد دیگر

Prof. dr. M.A. Neerincx is a Professor at Delft University of Technology in the Faculty of Electrical Engineering, Mathematics and Computer Science, where he leads research in the Interactive Intelligence department. His work spans multiple interdisciplinary domains focusing on human-AI interaction, social robotics, and health informatics. His research focuses on: Human-Robot Interaction and Social Robotics Explainable AI and Inclusive Design Persuasive Technology and Behavior Change Health Informatics and Digital Health Interventions Human-AI Teaming and Collaborative Systems Cognitive Modeling and Memory Systems Neerincx's recent publications demonstrate a strong focus on ethical AI, human values in technology design, and practical applications in healthcare and emergency services. His work on human-agent teamwork, particularly around moral decision allocation and meaningful human control, has gained significant attention. In health applications, he explores digital interventions for smoking cessation, hypertension management, and cardiac health through conversational agents and social robots. His research combines technical innovation with deep consideration of psychological, social, and ethical dimensions. Through his editorial work for Interacting with Computers since 2011 and Mediamatica TU Delft since 2010, he has shaped scholarly discourse in human-computer interaction. His supervision of students like Albers, N. and Verhagen, R.S. has produced impactful research on human feedback in chatbot interventions and robot pedagogical interactions with children. His datasets reveal ongoing work in virtual coaching systems and robot-child interactions.

• Machine Learning
• Human-AI Interaction
• Robotics
• +۷ مورد دیگر

Pieter Jonker is a Professor in the Faculty of Mechanical Engineering, specializing in Biomechatronics & Human-Machine Control. His research spans artificial intelligence, trust in human-machine teams, and hybrid intelligence systems. Key research areas include Machine Learning and Reinforcement Learning for adaptive systems Trust calibration and human-AI interaction dynamics Negotiation algorithms and multi-agent systems Ethical frameworks for AI decision-making Publications from 2017–2025 highlight expertise in robotics, vision systems, and real-time optimization. Recent work focuses on trust modeling , negotiation strategies , and value-sensitive design in AI systems. Jonker’s contributions emphasize practical applications such as autonomous vehicles , smart wearables , and stress management partnerships . Media coverage includes public engagement on robotics and automation topics.

G.C.H.E. de Croonمشاهده پروفایل

پژوهشگر

• Robotics
• Aerospace Engineering
• Autonomous Systems
• +۷ مورد دیگر

G.C.H.E. de Croon is a Senior Researcher in the Control & Simulation group at Delft University of Technology's Faculty of Aerospace Engineering . His work focuses on: Autonomous drone control systems Bioinspired robotics Visual-inertial navigation Neuromorphic computing for UAVs Tilt-rotor aircraft design Swarm robotics Recent publications highlight advancements in flapping-wing robots and neuromorphic attitude estimation. His research combines biological insights with aerospace engineering to solve complex autonomy challenges. Notable scientific recognitions include: NWO Vici Grant (2024) for drone autonomy research Autonomous Drone Racing Championship winner (2025) Multiple best paper awards (2015, 2021) He actively organizes academic events like the International Micro Air Vehicle Conference and has supervised 17 research projects. Media coverage spans AI drone racing breakthroughs (2025), swarming technology (2024), and maritime landing systems (2025 PhD thesis data).