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Foong ShaohuiView profile

Associate Professor

• Robotics
• Electronics
• Unmanned Aerial Vehicles (UAVs)
• +9 more

Dr. Foong Shaohui is an Associate Professor and Associate Head at the Engineering Product Development (EPD) pillar of the Singapore University of Technology and Design (SUTD), with prior experience as a Visiting Assistant Professor at MIT's Mechanical Engineering department (2011). He leads the Aerial Innovation Research (AIR) Laboratory @ SUTD and actively collaborates with Singapore's Ministry of Defence (MINDEF) and medical institutions like National University Hospital (NUH) and Changi General Hospital (CGH). PhD, MS, and BS in Mechanical Engineering from Georgia Institute of Technology (2005-2010) Research Interests span multiple domains: Robotics & UAVs : Nature-inspired aerial craft design (Project MONOCO), hybrid flight dynamics, and transformable rotorcraft Medical Device Innovation : Magnetic localization systems for nasogastric tubes and ventriculostomy procedures Engineering Education : Design-Centric pedagogy and pre-university Aerial Craft Workshops Autonomous Systems : Deep tunnel sewer inspection drones (NRF/PUB funded) and soft robotics Scientific Contributions include patented magnetic localization technologies (licensed to Medergo Pte. Ltd.), over 20 peer-reviewed publications, and 5 granted patents. His work bridges aerospace engineering with biomedical applications through innovative mechatronic solutions. Best Application Paper Award at SCIS & ISIS (2014) Research Grants include projects funded by Singapore's National Research Foundation (NRF), Public Utilities Board (PUB), and National University Hospital partnerships. He mentors PhD/Master's students through interdisciplinary research in aerial robotics and medical device development.

Vishesh VikasView profile

Associate Professor

• Robotics
• Soft Robotics
• Tensegrity Robotics
• +12 more

Vishesh Vikas is an Associate Professor in the Department of Mechanical Engineering at the University of Alabama, College of Engineering. He is based in the South Engineering Research Center (SERC) and leads the Agile Robotics Laboratory (ARL@UA), which focuses on bio-inspired, soft, and tensegrity robotics, as well as inertial sensing and estimation. Education: PhD, Mechanical Engineering, University of Florida, 2011 MS, Mechanical Engineering, 2008 B.Tech., IIT Guwahati, 2005 His research spans autonomous systems, wearable technologies, biomedical devices, guidance and control, intelligent systems, space robotics, and engineering education . The lab’s work integrates mechanical design, sensing, and advanced control to create agile, adaptive robotic systems for unstructured environments. The recent publications highlight a strong trend in soft and tensegrity robotics , with focus on gait synthesis, locomotion planning, shape and joint estimation, and dexterous manipulation. These works combine modeling, data-driven control, and sensor fusion, often using accelerometers, IMUs, and vision for real-time feedback. The research is published in top robotics venues such as IEEE TRO, RA-L, and ASME journals. Scientific Awards: No awards explicitly mentioned in the text. Vishesh Vikas actively advises graduate students, including PhD and Master’s candidates, and has successfully guided several to thesis and dissertation completion. His lab is affiliated with multiple research centers including the Alabama Center for the Advancement of AI, Center for Advanced Manufacturing, and Center for Advanced Public Safety. He is involved in outreach and education, including mechatronics workshops and seminar hosting. Current projects include exosuits for spine support and robotic systems for mobility in extreme environments. Laboratory and Team: The Agile Robotics Lab (ARL@UA) fosters interdisciplinary research in nature-inspired robotics, combining principles from biology, mechanics, and control. The team has hosted eminent scholars and is featured in university and college news for its innovative work on wearable robotics and soft manipulators.

Petar KormushevView profile

Senior Lecturer

• Robotics
• Machine Learning
• Reinforcement Learning
• +4 more

Petar Kormushev is a Senior Lecturer (Associate Professor) in Robotics at the Dyson School of Design Engineering, Imperial College London, and the founder/director of the Robot Intelligence Lab. He holds a PhD in Computational Intelligence from Tokyo Institute of Technology. His research focuses on robotics and machine learning, particularly reinforcement learning for autonomous robots. Key projects include the WALK-MAN humanoid robot for disaster response and contributions to the PANDORA and STIFF-FLOP EU projects. He has received the 2013 John Atanasoff Award for scientific excellence in ICT. His lab develops machine learning algorithms applied to humanoid robots like COMAN and iCub, with interests in robot learning, compliant control, and autonomous systems. He has supervised numerous PhD students and led research teams at IIT and Imperial College.

Cynthia SungView profile

Associate Professor

• Computational Robotics
• Origami Robotics
• Soft Robotics
• +2 more

Cynthia Sung is an Associate Professor in the Mechanical Engineering and Applied Mechanics department at the University of Pennsylvania's School of Engineering and Applied Science, with secondary appointments in Computer and Information Science and Electrical and Systems Engineering. She directs the Sung Robotics Lab, focusing on computational methods for robot design, origami robotics, planning for distributed systems, and fabrication of reconfigurable systems. Her lab is funded by NSF, ONR, ARO, NASA, and Penn Health-Tech. Her research spans four key areas: Computational co-design integrating mechanical, electronic, and software components Soft/origami robotics leveraging compliance for adaptable systems Distributed planning for multi-robot coordination Novel fabrication techniques for deployable structures Publications show consistent focus on robotic mechanisms with recent trends in magnetic origami reconfiguration (2025), underwater jet coordination (2025), educational robotics kits (2025), and tunable-stiffness actuators (2024). Article keywords predominantly fall in Robotics, Material Science, and Control Systems. Awards & Recognition ONR Young Investigator Award (2023) NSF CAREER Award (2019) Johnson & Johnson Women in STEM2D Scholars Award (2020) Popular Mechanics Breakthrough Award (2017) Research Teams & Advising Leads the GRASP Lab-affiliated Sung Robotics group. Current doctoral students include Zhiyuan Yang (jet propulsion), Daniel Feshbach (kinematic design), and Gabriel Unger (reconfigurable structures). Recent graduates include Yipeng Zhang (MSc, SALP robotics) and Christopher Kim (PhD, self-sensing actuators).

Kristin Y. PettersenView profile

Professor

• Nonlinear control theory
• Marine robotics
• Snake robotics
• +5 more

Kristin Y. Pettersen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering. She holds a PhD and MSc in Engineering Cybernetics from NTNU and serves as an Adjunct Professor at the Norwegian Defence Research Establishment (FFI). She co-founded and led Eelume AS as its first CEO. PhD in Engineering Cybernetics, NTNU MSc in Engineering Cybernetics, NTNU Her research focuses on nonlinear control theory, motion control of mechanical systems, and marine robotics. Key areas include autonomous vehicles, underactuated systems, and cooperative control. Her recent work involves snake robotics, vehicle-manipulator systems, and safety-critical control algorithms. Her publications demonstrate trends in marine robotics , nonlinear control systems , autonomous navigation , formation control , and adaptive algorithms . Emerging topics include energy-shaping control , extremum-seeking optimization , and task-priority frameworks for complex robotic systems. 2025: Norwegian Academy of Science and Letters (DNVA) 2020: ERC Advanced Grant 2017: IEEE Fellow 2016-2021: Board member, Eelume AS 2013-2023: Key scientist, NTNU AMOS She has supervised 30 PhD graduates and currently mentors 16 PhD candidates. Her grants include ERC PoC UR4energy (€150k), ERC AdG CRÈME (€2.5M), and CAROS (NOK 45M) for subsea autonomy. She leads teams at NTNU's Applied Underwater Robotics Laboratory and contributes to the Cluster of Excellence IntCDC.

Dikai LiuView profile

Professor

• Robotics
• Field Robotics
• Human-Robot Collaboration
• +5 more

Dikai Liu is a Distinguished Professor and Strategic Research Director at the University of Technology Sydney (UTS), Australia, within the School of Mechanical and Mechatronic Engineering . His work spans field robotics and human-robot collaboration (HRC) , focusing on autonomous systems for infrastructure maintenance, construction automation, and underwater operations. Key research areas: Robotics, Human-Robot Interaction, Bio-Inspired Design, Infrastructure Maintenance Recent publications highlight innovations in trust modeling for HRC, stiffness control in continuum robots, and sociotechnical frameworks for AI-driven robotic systems. His 15 most recent articles emphasize applications in bridge maintenance, construction automation, and ethical AI integration. Awards include the 2019 UTS Medal for Research Impact, ASME DED Leonardo da Vinci Award (USA), and multiple engineering excellence recognitions. His research has generated over $22M in external funding, including 13 ARC grants and industry partnerships.

Veronica SantosView profile

Professor

• Robotics
• Haptics
• Biomechatronics
• +7 more

Veronica Santos is a Professor and Inclusive Excellence Officer in the Department of Bioengineering at the University of California, Los Angeles (UCLA) Samueli School of Engineering. She serves as Associate Dean for Inclusive Excellence and Faculty Affairs, and directs the UCLA Biomechatronics Laboratory. Santos holds a Ph.D. in Mechanical and Aerospace Engineering from Cornell University and a B.S. in Mechanical Engineering from UC Berkeley, with minors in Biometry and Music. Ph.D., Mechanical and Aerospace Engineering (Biometry minor), Cornell University (2007) B.S., Mechanical Engineering (Music minor), University of California, Berkeley (1999) Her research spans robotics, haptics, and human-machine systems, focusing on grasp and manipulation, tactile sensors, prosthetics, and neural control of movement. She integrates machine learning and stochastic modeling with biomechanical studies of hand function, bridging robotics and biomedical applications. The 15 most recent publications highlight trends in tactile sensing for robotics, granular media interaction, and human-robot collaboration. A significant portion explores neural network applications for tactile perception, tendon-driven actuation systems, and biomimetic sensor design. Many papers address practical challenges in robotic manipulation, including shear force measurement, edge orientation detection, and autonomous learning through reinforcement strategies. 2018: Robohub.org '25 women in robotics you need to know about' 2018-2019: Defense Science Study Group Selectee 2017: UCLA Mechanical and Aerospace Engineering Teaching Award 2010: NAE Frontiers of Engineering Education Symposium Selectee 2010: NSF CAREER Award As director of the UCLA Biomechatronics Lab, she leads multidisciplinary teams developing advanced robotic systems for applications ranging from mine defusal to prosthetics restoration of touch sensation. Her work has received media coverage from ASME, National Geographic, and Nature, and she was featured in a $100M gift to UCLA that underscores private donors' growing role in public universities.

Georgios AndrikopoulosView profile

Assistant Professor

• Robotics
• Biomedical Engineering
• Control Systems
• +4 more

Georgios Andrikopoulos is an Assistant Professor at KTH Royal Institute of Technology's Department of Industrial and Environmental Management (ITM), affiliated with the Digital Futures Faculty. He serves as Co-Principal Investigator (Co-PI) on the 'Real-time exoskeleton control for human-in-the-loop optimization' project, focusing on advanced robotics and human-technology interaction. His research spans soft robotics, exoskeleton systems, and adaptive climbing robots, with applications in healthcare, aerospace, and education. Key projects include: "Connecting Bodies – Designing Shape-changing Wearables" (Postdoc Fellowship, 2023–2025) "Advancing real-time exoskeleton control for human-in-the-loop optimization" (Demonstrator Project) SEC scholar collaboration with Mohamed Elbadawi (May–June 2024) Research interests emphasize: Soft robotic actuators for safe human interaction Optimization of compliant mechanisms in robotics Vortex adhesion systems for autonomous inspection Design of child-friendly interactive robots His work integrates robotics with control systems, biomechanics, and human-centered design. Over 50 peer-reviewed articles demonstrate contributions to exoskeleton technology, climbing robot algorithms, and soft actuator modeling. He advises students like Laia Turmo Vidal (Postdoc) and Mohamed Elbadawi (SEC scholar). Affiliated with the cross-disciplinary Digital Futures initiative, he collaborates with Stockholm University and RISE Research Institutes to address societal challenges through digital innovation.

• Control Systems
• Robotics
• Marine Robotics
• +3 more

Kristin Y. Pettersen is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), and a Professor II at the Norwegian Defence Research Institute (FFI). She is a co-founder of Eelume AS, a company specializing in underwater robotics solutions. Education: Civil Engineering and PhD in Technical Cybernetics from NTNU Her research focuses on advanced control systems for marine and underwater vehicles, particularly snake robots and autonomous underwater vehicles (AUVs). Key areas include formation control, path following, adaptive guidance algorithms, and safety-critical control in dynamic environments. Recent work explores machine learning integration and energy-shaping techniques for robust locomotion. Publications highlight trends in Model Predictive Control (MPC) , Collision Avoidance , and Task-Priority Operational Space Control for redundant and underactuated systems. Her work bridges theoretical control theory with practical applications in marine robotics, including autonomous inspections and cooperative transport. Labs/Teams: Collaborates with NTNU's Faculty of Information Technology and Electrical Engineering and co-founded Eelume AS, advancing subsea robotic manipulation technologies.

Mostafa MohammadiView profile

Assistant Professor

• Neurorehabilitation Robotics
• Human-Computer Interaction
• Telerehabilitation Technologies
• +5 more

Mostafa Mohammadi is an Assistant Professor at the Department of Health Science and Technology, Aalborg University, affiliated with the Faculty of Medicine and Center for Rehabilitation Robotics. His research focuses on neurorehabilitation robotics, human-computer interaction, and telerehabilitation technologies for individuals with disabilities. Ph.D. in Biomedical Engineering (Aalborg University, 2018-2022) M.Sc. in Biomedical Engineering (Polytechnic University of Milan, 2015-2017) B.Sc. in Mechanical Engineering (Sharif University of Technology, 2011-2015) His work spans exoskeleton design, assistive robotics, and innovative interfaces like tongue-computer interfacing. Recent projects include the eMotivo digital health solution funded by Innovation Fund Denmark and intelligent tendon-driven exoskeletons for severe disabilities. Research outputs (33 total) emphasize adaptive robotics, motor impairment solutions, and wearable technologies. Collaborations span robotics, biomedical engineering, and clinical disciplines. Teaching includes courses in rehabilitation robotics, human-computer interaction, and digital systems for biomedical engineering. Scientific activities align with UN Sustainable Development Goals for quality education and reduced inequalities. Notable contributions include advancements in myoelectric interfaces and neurorehabilitation technologies.

Alan KuntzView profile

Assistant Professor

• Robot Motion Planning
• Autonomous Systems
• Robot Design Optimization
• +4 more

Alan Kuntz is an Assistant Professor at the University of Utah's Kahlert School of Computing (KSoC) and a core member of the Robotics Center. He leads the interdisciplinary Kuntz Research Lab, focusing on robotics and computational methods with medical applications, particularly in healthcare and surgery. His work spans robot motion planning, autonomous systems, and robot design optimization. Education: Ph.D. in Computer Science from the University of North Carolina at Chapel Hill, with research in the Computational Robotics Research Group. Previously a postdoctoral scholar at Vanderbilt University's Medical Engineering and Discovery Lab. Research interests include surgical robotics, continuum robots, needle steering, and medical device design. Recent projects include autonomous needle navigation, continuum lung staplers, and metamaterial-based robots. His team has published extensively on topics like kinematic modeling, uncertainty quantification, and medical intervention systems. Notable awards include the 2022 IEEE Access Best Video Award for his group's work, and mentoring over 15 students through the University of Utah's Undergraduate Research Opportunities Program. The Kuntz Lab actively collaborates on clinical applications, presenting at top conferences like IROS, Hamlyn Symposium, and ISMR. Labs/Teams: Directs the Kuntz Research Lab, known for its innovative medical robotics projects. The lab's work has been featured in Forbes and other media outlets for breakthroughs like in vivo needle steering demonstrations.

• Biomedical Engineering
• Nanotechnology
• Tumor Therapy
• +4 more

Liu Hongmei is a Researcher and Master's Supervisor at Southern University of Science and Technology's Department of Biomedical Engineering. Holding a Ph.D. from the Chinese Academy of Sciences, she specializes in micro-nano robotics and tissue engineering for tumor therapy, with over 66 publications and 12 patents. Her work bridges biomedical engineering and nanotechnology for precision cancer treatments. B.S., Biological Sciences, Harbin Normal University (2005) M.S., Botany, Northeast Agricultural University (2008) Ph.D., Biochemical Engineering, Chinese Academy of Sciences (2015) Her research focuses on biomaterials engineering , nanoparticle drug delivery , and microenvironment-responsive hydrogels . Key areas include glioma therapy, traumatic brain injury recovery, and intervertebral disc degeneration treatments. Recent work explores pH/ROS/inflammation-triggered hydrogels and bioengineered bacteria for disease modulation. Article trends show a strong emphasis on nanoparticle design (2014-2025) for glioma, hydrogel development (2017-2025) for tissue repair, and biomimetic material synthesis (2023-2025) inspired by spider silk and meniscus structures. Sub-fields span pyroptosis inhibition, epigenetic reprogramming, and microbiome engineering. Jiangsu Science and Technology Award (2020) Jiangsu Medical Science and Technology Award (2020) Jiangsu Educational Science Research Award (2021) Chinese Medical Doctor Association's Outstanding Young Scientist (2018) Liu has supervised numerous projects including National Natural Science Foundation of China grants, Jiangsu Province Key R&D Program funding, and Shenzhen City General Projects. She holds 12 Chinese invention patents and collaborates with institutions like the UNESCO Centre for Higher Education Innovation.

Mingfeng WangView profile

Senior Lecturer

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +5 more

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +3 more

Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.

Efi PsomopoulouView profile

Lecturer

• Robotics
• Human-Robot Interaction
• Robot Control
• +2 more

Efi Psomopoulou is Lecturer in Data Science at the University of Bristol's School of Engineering Mathematics and Technology. Her research develops tactile sensing and control strategies for robotic manipulation, with applications in industrial robotics and minimally invasive surgery. Specializes in learning dexterous skills from demonstrations, underactuated hand design, and sim-to-real transfer for tactile robotics. Key innovations include the Tactile Softhand-A (3D-printed anthropomorphic hand with antagonistic tendons), BioTactIP optical tactile sensor for 3D force estimation, and Anyrotate system for gravity-invariant object rotation. Recent work advances efficient learning of fine manipulation skills from limited real-world data. Active in IEEE RAS Women in Engineering initiatives, promoting equity in robotics. Surgical robotics contributions include master controllers for da Vinci systems and palpation feedback evaluation. Publications demonstrate progression from surgical applications to fundamental dexterous manipulation research.