جست‌وجوی استاد و پژوهشگر

Arnoud Visserمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Robotics
• Multi-Agent Systems
• +۳ مورد دیگر

Dr. Arnoud Visser is a Senior Lecturer at the Informatics Institute within the Faculty of Science at the University of Amsterdam . He holds a PhD in Computer Science (2007) and an MSc in Experimental Physics (1987). His research focuses on artificial intelligence and robotics , particularly cooperative robot teams in real-world environments. He has led projects like Meaningful Control of Autonomous Systems (2020) and developed simulation frameworks for RoboCup Rescue challenges. His 15 most recent publications (2022-2025) span topics including generative AI for military scene understanding , GAN-based nighttime re-identification , soft actor-critic locomotion , and ROS2 simulation environments . These works integrate machine learning with robot navigation and multi-agent coordination . Scientific Awards include: 1th Prize in RoboCup Rescue Simulation League (2018, 2014, 2012) Best Demo Award (Benelux Conference on AI 2016) IEEE RAS Most Active Technical Committee Award (2018) USARsim Development Prize (2010) As a thesis committee member for 27 PhD and 68 Master's theses (2000-2025), he has mentored students in areas like spiking neural networks , soft robotics , and autonomous navigation . He has also served on program committees for major robotics conferences including ICRA, IROS, and RoboCup Symposia (2011-2025).

Melanie E. Mosesمشاهده پروفایل

استاد

• Complex Adaptive Systems
• Computational Immunology
• Swarm Robotics
• +۳ مورد دیگر

Melanie E. Moses is a Professor in the Department of Computer Science at the University of New Mexico with a secondary appointment in Biology and External Faculty status at the Santa Fe Institute. Her affiliations include Co-directorship of the UNM Program in Interdisciplinary Biological and Biomedical Sciences (PiBBs) and affiliation with the UNM Spatio Temporal Modeling Center (STMC). Her research centers on complex adaptive systems , developing computational models of biological phenomena like ant colonies and immune systems to engineer robust solutions for swarm robotics and environmental challenges. Key projects include VolCAN (volcano monitoring), SimReef (coral conservation), and NASA-funded initiatives like Swarmathon and Project ChiliHouse for space exploration. The Moses Biological Computation lab drives significant educational impact through NM CSforAll and NASA Swarmathon, having trained over 3,000 students (75% from underrepresented groups in STEM). Current research focuses on transdisciplinary applications spanning computational immunology, autonomous robotics, and ecological modeling, with active grants supporting space agriculture and cooperative robotics. Moses' advising emphasizes inclusive participation in computer science, leveraging biologically-inspired computation to address global challenges in healthcare, environmental sustainability, and space exploration. Her lab maintains strong collaborations across engineering, biology, and planetary sciences disciplines. Research facilities include the Moses Biological Computation lab specializing in agent-based modeling and swarm robotics, with physical infrastructure for robot testing and computational resources for large-scale simulations. Current projects involve ROS2 integration, dexterous robotic arms, and autonomous systems for extraterrestrial environments.

Ming Xuan Chuaمشاهده پروفایل

مدرس

• robotics
• social robotics
• biomedical engineering
• +۳ مورد دیگر

Ming Xuan Chua is a Mechatronics Engineering researcher and educator at the University of New South Wales (UNSW), Faculty of Engineering. He recently completed his PhD at UNSW and has been teaching in various capacities since 2020, progressing from casual academic to Associate Lecturer. His research focuses on wearable sensing, robotics, and intelligent systems, with particular expertise in developing advanced wearable strain-sensor and IMU fusion systems for detecting fatigue-induced compensatory movements in rehabilitation. Dr. Chua is passionate about building real-time systems that bridge sensing, perception, and control for practical medical and engineering applications. Dr. Chua has extensive teaching experience across statistics, programming, robotics, control, and mechatronics design. He has contributed to course redesign, supervised award-winning thesis projects, and supported both online and in-person delivery during and after the COVID-19 transition. His technical expertise spans ROS2, Image Processing, and SLAM. While specific publication titles aren't listed in the available information, his work has appeared in top-tier IEEE journals including IEEE Transactions on Medical Robotics and Bionics and IEEE Transactions on Instrumentation and Measurement. Dr. Chua's teaching portfolio includes MTRN9400 Control of Robotics Systems, MTRN4010 Advance Autonomous Systems, MTRN4110 Robot Design, MTRN2500 Computing for Mechatronic Engineers, MMAN3200 Linear System and Control, and thesis supervision courses. He currently serves as Head Demonstrator for several of these courses.

William Robert Norrisمشاهده پروفایل

استاد پژوهشی

• Robotics
• Control Systems
• Machine Learning
• +۳ مورد دیگر

William Robert Norris is a Research Professor and Clinical Associate Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign (UIUC). He is the Founding Director of the Center for Autonomous Construction and Manufacturing at Scale (CACMS) and an affiliate in multiple departments, including Mechanical Science and Engineering, Electrical and Computer Engineering, and the Coordinated Science Lab. His expertise spans robotics, control systems, and autonomous systems, with a focus on machine learning, decision analysis, and adaptive systems. Education: Norris holds a Doctor of Philosophy (2001), Master of Business Administration (2007), and two Master of Science degrees (1997, 1996), all from UIUC, with concentrations in Control Theory, Robotics, and Systems Engineering. Research Interests: His work emphasizes optimal machine design, decision analysis, machine learning (including deep learning and reinforcement learning), adaptive systems, and control theory. He has pioneered advancements in autonomous vehicle navigation, sensor fusion, and robotics applications in construction and agriculture. Professional Highlights: Norris led the development of the first large-scale autonomous vehicle from concept to deployment. His contributions include innovations in Kalman filtering, fuzzy logic control, and autonomous system architectures. He has authored over 100 publications, including peer-reviewed journal articles and conference proceedings. Awards: Dean's Award for Early Innovation (2024), Robert A. Jewett Endowment (2020), William A. Chittenden Award (1998). Labs/Teams: My Lab, Center for Autonomy, Coordinated Science Lab (CSL), Discovery Partners Institute (DPI). Grants/Consulting: Active collaborations with the US Army Corps of Engineers, Deere & Company, and startups like Robust Smart Control Solutions LLC.

Matthew Walter Dunniganمشاهده پروفایل

دانشیار

• Control Systems
• Robotics
• Algorithms
• +۷ مورد دیگر

Matthew Walter Dunnigan is an Associate Professor at the School of Engineering & Physical Sciences and a member of the Institute of Sensors, Signals & Systems at Heriot-Watt University. His research focuses on control systems, robotics, algorithms, and renewable energy technologies. He has contributed to over 171 publications, emphasizing topics like aerial manipulation, microgrid optimization, and photovoltaic systems. His work aligns with UN Sustainable Development Goals, particularly in energy and innovation. Dunnigan has received awards for student-led research in applied engineering and manufacturing automation. His research collaborations span global institutions, with active projects in dynamics, optimization, and sensor networks. Key Research Areas: Control Systems, Robotics, Algorithms, Renewable Energy, Microgrids, and Sensor Technologies. Awards: Best paper award at the International Conference for Students on Applied Engineering (2016). Best Student Paper Award in Manufacturing at Automation and Computing (2015). Advising & Grants: Dunnigan has advised on projects related to mobile manipulators and underwater vehicles, though specific student names are not listed. His grants and funding details are not detailed in the text. Labs & Teams: Affiliated with the Institute of Sensors, Signals & Systems, focusing on interdisciplinary mechatronics and control applications.

Yvan Petillotمشاهده پروفایل

استاد

• Marine Robotics
• Autonomous Systems
• Sensor Processing
• +۴ مورد دیگر

Yvan Petillot is a Professor of Robotics and Autonomous Systems at Heriot-Watt University, co-academic lead of the National Robotarium, and chair of Robotics at the Scottish Research Partnership in Engineering. His expertise spans marine robotics, autonomous systems, sensor fusion, and subsea domain control. He leads a £3M grant portfolio focused on marine robotics innovations, emphasizing multi-vehicle collaboration and AI-driven autonomy. Petillot co-founded SeeByte Ltd to translate academic research into commercial solutions and pioneered EU robotics competitions fostering talent. His research emphasizes underwater robotics, including navigation, perception, and intervention in hazardous environments. Notable achievements include developing advanced underwater imaging techniques, reinforcement learning platforms (e.g., MarineGym), and frameworks for digital twins in teleoperation. He has received the Royal Society Industry Fellowship (2013) and was part of the 2022 Research Team of the Year award. Key technical contributions include synthetic aperture sonar systems, underwater SLAM (Simultaneous Localization and Mapping), and control strategies for vehicle-manipulator systems. His work addresses challenges in autonomous exploration, environmental monitoring, and safe human-robot collaboration in marine and industrial settings.

Kokou Chéridhan LISSASSIمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Robotics
• Autonomous Mobile Robots (AMRs)
• +۳ مورد دیگر

Kokou Chéridhan LISSASSI is a PhD researcher at Université Paris-Est Créteil Val-de-Marne (UPEC) affiliated with ICAM, focusing on the Societal and Technological Transitions of Companies research axis. His work emphasizes Human-Robot Interaction (HRI), Robotics, and Industry 4.0 applications. He is based at the Grand Paris Sud campus. Education : Bachelor's in Industrial Computing (EPSIEL, Morocco, 2017–2020) Master's in Electronic, Energy Electric, and Automatic Systems (Evry University, France, 2020–2022) Research Contributions : Developed autonomous navigation systems for omnidirectional robots using ROS2 and SLAM with LiDAR sensors. Created a Digital Shadow for UR5e robotic arms in Gazebo simulations, enabling real-time synchronization with physical robots. Optimized human-robot collaboration in industrial settings via multi-robot systems and gesture recognition for intuitive control. Teaching & Mentorship : Delivers lectures on ROS middleware and supports student projects in robotics. Mentored an internship resulting in a publication at FAIM 2023. Labs & Collaboration : Completed an internship at LISSI Laboratory (Université Paris Est Créteil), focusing on HRI with Turtlebot3 robots.

Emad Samuel Malki Ebeidمشاهده پروفایل

استاد

• Robotics
• Embedded Systems
• Smart Grids
• +۳ مورد دیگر

Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.

Nicolaj Haarhøj Malleمشاهده پروفایل

استادیار

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Power-line Maintenance and Inspection
• +۷ مورد دیگر

Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.

Arthur G Richardsمشاهده پروفایل

استاد

• Trajectory Optimization
• Unmanned Aerial Vehicles (UAVs)
• Model Predictive Control
• +۴ مورد دیگر

Arthur G Richards serves as Professor of Robotics and Control within the Dynamics and Control department at the University of Bristol's School of Engineering Mathematics and Technology. His research specializes in trajectory optimization for aerospace applications, focusing on UAV autonomy, spacecraft rendezvous, and air traffic management through advanced optimization techniques. His educational foundation includes an M.Eng. from the University of Cambridge and S.M./Ph.D. degrees from MIT. Research interests center on solving complex aerospace challenges through: Non-convex optimization for obstacle avoidance in cluttered environments Robust model predictive control for real-time disturbance compensation Distributed optimization enabling large-scale vehicle cooperation Scalable algorithms for high-traffic scenarios with minimal fuel consumption Analysis of his 132 research outputs reveals evolving emphasis on reliability-aware UAV path planning, interpretable reinforcement learning for aircraft control, and swarm robotics with real-world validation. Recent work increasingly integrates machine learning with traditional control theory while addressing practical constraints like sensor noise and system failures. Professor Richards has supervised 22 research students and secured funding for 11 projects, including the active Aerial Robotics for Search and Rescue (2022-2026) and PORTAL (2022-2024) initiatives. His industry collaborations with Thales and focus on technology transfer demonstrate strong academic-industrial integration. He actively contributes to the Smart Networks for Sustainable Futures and Robotics research groups, developing frameworks for multi-robot systems that balance theoretical rigor with practical deployment requirements in conservation, inspection, and exploration scenarios.

Andrew Nelsonمشاهده پروفایل

استادیار

• Embedded Systems
• Real-Time Control
• Multi-Sensor Fusion
• +۴ مورد دیگر

Andrew Nelson is a part-time Assistant Professor at the Electronic Systems department, College of Engineering , Eindhoven University of Technology . He also serves as a founder and R&D lead at Verintec Solutions B.V. . Research Focus : Predictable and composable embedded systems, real-time robotics, multi-sensor fusion for industrial positioning, multi-core processor optimization. Key Contributions : Development of the CompSOC platform, CompROS architecture for ROS2, and novel multi-rate control strategies. Recent Article Trends : His work emphasizes predictable execution on multi-core platforms, sensor fusion techniques (linear encoders + vision systems), and real-time robotics. Articles span 2015–2025, highlighting collaborations with institutions like TU/e and ECSEL JU grant projects IMOCO4.E (2021–2023) and COMP4DRONES (2021).

Alvo Aablooمشاهده پروفایل

استاد

• Advanced Materials
• Nanotechnology
• Robotics
• +۵ مورد دیگر

Alvo Aabloo is a Full Professor at the University of Tartu's Institute of Technology, where he leads the Intelligent Materials and Systems Laboratory (IMS Lab). His affiliations include a postdoctoral position at Uppsala University (1995–1996) and ongoing roles at the University of Tartu since 2005. The IMS Lab, accessible via www.ims.ut.ee , specializes in electroactive polymers, biomimetic robotics, and sustainable materials. His research integrates Advanced Materials , Nanotechnology , and Soft Robotics , with emphasis on: Biomimetic actuators (e.g., spider-leg exoskeletons, plant-inspired fluid transport) Ionic polymer-metal composites for precision manipulation Acoustic metamaterials for noise control Green sensors using bacterial cellulose and bio-derived ionic liquids Recent publications (2022–2025) reveal trends in: Robotics education tools (ROS2 web labs, 3D-printable robots) Programmable metamaterials for environmental applications Textile-based encoding and wearable compliance modulation He pioneers sustainable tech, such as all-printed micro-supercapacitors and biodegradable artificial muscles, while collaborating globally on projects spanning Italy, China, and Sweden.