جست‌وجوی استاد و پژوهشگر

Johannes Clarمشاهده پروفایل

پژوهشگر

• Robotics
• Control Systems
• Mechatronics
• +۳ مورد دیگر

Johannes Clar is a Doctoral Researcher and Research Associate at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) within the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on advanced control methodologies for robotic systems, particularly in the realm of cable-driven parallel robots (CDPRs) and their applications across industrial and agricultural domains. Research Interests: Adaptive control strategies for robotic systems Workspace optimization in reconfigurable CDPRs Unsupervised machine learning for agricultural vision tasks Stiffness adjustment and force distribution in robotic platforms Research Trends: His publications highlight a dual focus on robotics (specifically CDPRs) and AI-driven solutions. The 2025 study on adaptive preload control demonstrates significant improvements in path repeatability through real-time optimization, while the 2024 work on reconfiguration techniques expands CDPR usability. His agricultural technology research introduces unsupervised learning to streamline data annotation challenges. Labs & Teams: Affiliated with the Cluster of Excellence IntCDC, focusing on integrative computational design and construction, and the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart.

Rachel Holladayمشاهده پروفایل

استادیار

• Robotics
• Robotic Manipulation
• Motion Planning
• +۴ مورد دیگر

Rachel Holladay is an incoming Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of Pennsylvania's School of Engineering and Applied Science, with an anticipated start date of Fall 2025. She will hold the Asness Family Foundation Assistant Professor of Mechanical Engineering title and join the prestigious GRASP Laboratory as a key faculty member. Education: B.S. in Computer Science and Robotics, Carnegie Mellon University (2017) Ph.D. in Electrical Engineering and Computer Science, MIT (2024) Her research focuses on enabling robots to execute complex, contact-rich manipulation tasks requiring long-horizon planning and robustness against partial or uncertain information. Key areas include: Robotics Mechanical Engineering Control Systems Artificial Intelligence Computer Science Her publication record demonstrates expertise in: Mechanics-based manipulation planning Soft robotics and compliant grasping Task and motion planning integration Force-constrained tool use Motion cone analysis Fréchet error minimization Rachel is actively recruiting graduate students for Fall 2025 and works with the GRASP Lab's interdisciplinary environment that combines computer vision, machine learning, and mechanical design. She maintains collaborative ties with experts like Cynthia Sung and Daniel Koditschek at UPenn, and previously worked with Tomás Lozano-Pérez and Alberto Rodriguez at MIT's LIS Group and MCube Lab.

Steven Beitesمشاهده پروفایل

استاد

• Robotics in Construction
• Sustainable Housing
• Bio-based Materials
• +۵ مورد دیگر

Steven Beites is a tenured Professor at Laurentian University's McEwen School of Architecture, where he directs the Institute for Northern Housing Innovation and serves as Graduate Coordinator. He holds a Master of Architecture from the University of Toronto, a Master of Science in Digital and Material Technologies from the University of Michigan, and is a Ph.D. candidate at the European Graduate School in Switzerland. Previously, he taught at Toronto Metropolitan University and the University of Waterloo, with visiting appointments at Harvard’s Graduate School of Design. His research integrates robotics, material science, and bio-based materials to transform affordable housing in Northern Ontario, focusing on decarbonization, automated construction, and sustainable design. Key themes include: Robotic fabrication for in-situ construction Low-carbon bio-material assemblies Cable-driven parallel robot (CDPR) systems Community-driven design-build frameworks Publications emphasize robotic construction (68% of recent works), material innovation (21%), and pedagogical/community design (11%), with consistent focus on practical applications for housing affordability. Significant awards include: Voyageur Innovation Challenge 2025 (1st Place) Kathryne Kril-Atkins Innovation Fellowship National Award of Excellence from Canadian Society of Landscape Architects Azure Magazine’s Social Good AZ Award Over 15 national/international competition wins including Postmark Hotel (2024) and Venice Biennale exhibitions He secured $1.75M+ in grants (SSHRC, NFRF) establishing the Institute for Northern Housing Innovation, and advises the Ontario government on modular housing policy through the Council of Ontario Universities.

• Medical Robotics
• Soft Robotics
• Surgical Robotics
• +۳ مورد دیگر

Olivier Piccin is a Lecturer at INSA Strasbourg, affiliated with the Automatic Vision and Robotics team at the LSIIT (CNRS & University of Strasbourg). He holds a DEA in Robotics from Paris-6 University and a doctoral thesis from LAAS in Toulouse. His roles include teaching in mechanical engineering and mechatronics, as well as administrative leadership positions such as Mechanical Platform Manager at INSA. Research focuses on medical robotics, particularly in interventional radiology and minimally invasive surgery, with contributions to soft robotics, robotic control systems, and surgical tool design. Education: National School of Arts and Crafts (Arts&Métiers ParisTech), 1989–1992 DEA in Robotics, Paris-6 University, 1991–1992 Doctoral Thesis, LAAS, Toulouse, 1992–1995 Research Interests: Medical robotics, soft robotics, surgical robotics, robotic control systems, and biomedical engineering. His work advances applications in minimally invasive surgery and robotized medical devices, leveraging material science and advanced control theory. Key Contributions: Over 30 publications since 2005, including studies on cable-driven robotics, soft actuator fabrication, and haptic feedback systems for surgical tools. Active collaboration with IRCAD’s medical robotics platform. Administration: Mechanical Platform Manager (since 1999) Elected member of LGeCo lab council (2005–2008) INSA Board of Directors member (2007–2011) Labs/Teams: Automatic Vision and Robotics team at LSIIT, collaborating with IRCAD’s medical robotics platform for surgical innovation.

• Novel Robot Designs
• Design Optimization
• Continuum Robots
• +۳ مورد دیگر

Matteo Russo is an Assistant Professor at the University of Rome Tor Vergata and an Associate Researcher at Rolls-Royce UTC, University of Nottingham. His research focuses on novel robot designs, particularly in continuum robots, parallel robots, and their applications in healthcare and aerospace. He teaches courses such as Robot Mechanics (MSc in Mechatronics) and Applied Mechanics (BSc in Energy Engineering), emphasizing analytical and numerical tools for robotic system evaluation. His work spans industrial and medical robotics, including driver monitoring systems, neurosurgery-assisting devices, and rehabilitation exoskeletons. He actively supervises BSc/MSc theses and welcomes PhD/postdoctoral candidates interested in robotics innovation. Research interests include design optimization, mechanism synthesis, and advanced actuation techniques. He collaborates on projects like the L-CADEL elbow-assisting device and the LARMbot humanoid, reflecting expertise in modular robotics and prototyping. His lab work involves developing wearable systems for respiration monitoring and robotic solutions for confined environments. Key contributions include studies on tendon-driven systems, continuum robot dynamics, and human-robot interaction. He advocates for interdisciplinary approaches, bridging mechanical engineering with biomedical and aerospace applications.

• robotic manipulation
• robot learning
• motion planning
• +۳ مورد دیگر

Dmitry Berenson is an Associate Professor in the Robotics Department at the University of Michigan, Ann Arbor. Previously, he served as an Assistant Professor at Worcester Polytechnic Institute from 2012 to 2016, following a postdoctoral position at the University of California, Berkeley in 2011-2012. His educational background includes: B.S. in electrical engineering from Cornell University (2005) Ph.D. in robotics from the Robotics Institute, Carnegie Mellon University (2011) Dr. Berenson's research focuses on advancing robotic manipulation capabilities, particularly in challenging scenarios involving deformable objects and complex environments. His work bridges the gap between theoretical motion planning algorithms and practical robotic applications, with emphasis on developing methods that can handle uncertainty, occlusion, and complex physical interactions. He has made significant contributions to contact-rich manipulation, deformable object handling, and the integration of learning with classical planning approaches. His research has important applications in manufacturing, agriculture, surgery, and everyday human environments where robots need to interact with complex objects. His recent publications demonstrate a strong trend toward integrating machine learning techniques (particularly diffusion models and other deep learning approaches) with traditional motion planning and manipulation methods. This hybrid approach allows for more robust handling of complex scenarios like deformable object manipulation, occluded environments, and long-horizon tasks that have traditionally challenged robotics systems. Among his notable achievements, Dr. Berenson has received the prestigious IEEE RAS Early Career Award and the NSF CAREER award, recognizing his significant contributions to robotics research and education. As an academic advisor, Dr. Berenson has mentored numerous students who have gone on to contribute to the field of robotics. His research has been supported by various grants that have enabled his team to pursue innovative approaches at the intersection of motion planning, manipulation, and machine learning. His work often involves interdisciplinary collaboration across computer science, mechanical engineering, and applied mathematics. Dr. Berenson leads a research group at the University of Michigan focused on robotic manipulation and motion planning. His lab develops algorithms that enable robots to perform complex manipulation tasks in unstructured environments, with particular expertise in handling deformable objects and reasoning about physical interactions. The group maintains strong connections with industry partners and other academic institutions, fostering a collaborative environment for advancing the state of the art in robotics.

• Teleoperation systems
• Human-robot interaction
• AI-based telerobotics
• +۱۰ مورد دیگر

Ziwei Wang is a Lecturer in Robotics at Lancaster University and co-theme lead of the Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA). He holds a Ph.D. in Automation from Tsinghua University and previously worked as a Research Associate at Imperial College London's Department of Bioengineering before joining Lancaster. Research Focus : Teleoperation systems, human sensorimotor augmentation, AI-based telerobotics, haptic interaction, and control technologies for extreme environments. His work addresses challenges in remote surgery, space robotics, and nuclear decommissioning through prescribed-performance control, reinforcement learning, and fuzzy modeling. Scientific Contributions : Over 70 publications in journals like IEEE Transactions on Automatic Control and IEEE/ASME Transactions on Mechatronics . Key projects include the Future AI and Robotics for Space (FAIR-SPACE) Hub and RAICo Fellowships. Awards include Best Paper at ICAC 2022 and IROS 2024 New Generation Star recognition. Academic Roles : Associate Editor for IET Journal of Engineering and Biomimetic Intelligence and Robotics , with leadership in IEEE conference committees. Teaches Mechanics Engineering and Machine Learning in Engineering at Lancaster.

Diego Silva Muñizمشاهده پروفایل

استادیار

• Robotics
• Automatic Control
• Industrial Automation
• +۳ مورد دیگر

Dr. Diego Silva Muñiz is an Assistant Professor at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Marine Geosciences and Territorial Planning . His research bridges robotics, automation, and marine engineering, focusing on adaptive systems for dynamic environments. PhD in Systems and Automatic Engineering (2025) with a thesis on general-purpose machinery adaptability in maritime contexts. Advisor: Dr. Julio Garrido Campos. Research Interests : Robotics (Cable-Driven Parallel Robots, Stewart Platforms) Control Systems for Dynamic Environments 3D Printing and Circular Economy Marine Technology Applications Scientific Trends : Recent publications highlight his work on anomaly detection in robots, wave compensation systems, and sustainable maritime 3D printing. His research emphasizes automation frameworks for unconventional robotics and environmental sustainability. Labs & Teams : Member of the EN.EDI (Efficient and Digital Engineering) research group, advancing industrial automation and digital engineering solutions for maritime and robotic systems.

• Mechanical Design
• Robotics
• Uncertainty Modeling
• +۶ مورد دیگر

Nicolas Binaud is a Lecturer at Paul Sabatier University (UPS), where he is a member of the Modeling of Mechanical Systems and Microsystems group (MS2M) at Espace Clément Ader in Toulouse, France. His research focuses on multidisciplinary design in uncertain environments with emphasis on robustness, reliability, and sensitivity analysis of mechanical systems. His research interests span across: Multidisciplinary design under uncertainty Modeling of uncertainties and variations of design variables Sensitivity analyses for mechanical systems Development of performance indices for preliminary design Mechanical and computer-aided design Digital tools for mechanics Probability and reliability engineering Dr. Binaud's scholarly work demonstrates expertise in mechanical systems design with particular strength in cable-driven parallel robots, structural reliability, and predictive maintenance. His research shows strong interdisciplinary connections between mechanical engineering, aerospace applications (particularly airframe maintenance), and materials science (especially electrostatic interactions in microsystems). Analysis of his publication record reveals consistent output with recent work focusing on sensitivity analysis of robotic systems and electrostatic characterization techniques. His notable contributions include: Development of comprehensive methods for sensitivity analysis of cable-driven parallel robots Research on model-based prognostics for fatigue crack growth in aircraft structures Studies on 3D charge localization in thin dielectric materials using atomic force microscopy Applications of Kalman filtering techniques for structural health monitoring Cost-driven optimization of predictive maintenance policies for aerospace structures

• Robotics
• Automation
• Advanced Manufacturing
• +۳ مورد دیگر

Philip Long is a Lecturer in Automation, Robotics & Advanced Manufacturing at the Department of Mechanical & Industrial Engineering, University of Galway. He serves as a Principal Investigator in the Engineering Research Group (ERG), focusing on robotics and advanced manufacturing systems. Research Interests: Active in robotics engineering, his work spans non-prehensile manipulation, sensor fusion for obstacle detection, wrench capability analysis in parallel robots, and human-supervised operations in extreme environments. His research integrates mechanical design, control theory, and AI to enhance robotic performance. Recent Publications: His 2023 contributions include methods for state-triggered constraints in manipulation tasks, polytope-based performance metrics, and multi-sensor fusion techniques. Earlier work (2021) explores humanoid robot safety in radioactive environments. Collaborations: Collaborates with researchers like Dr. Taskin Padır (Northeastern University) and Dr. Stéphane Caro (CNRS). Affiliated with institutions in Ireland and the US.

Robert L. Williams IIمشاهده پروفایل

استاد

• Robotics
• Biomechanics
• Haptics
• +۶ مورد دیگر

Robert L. Williams II is a Professor and Assistant Chair of Mechanical Engineering at Ohio University's Russ College of Engineering and Technology. He specializes in robotics, biomechanics, and haptics research. Previously, he worked at NASA Langley Research Center as a space roboticist and held sabbaticals at NIST and the University of Puerto Rico. He earned his Ph.D. in Mechanical Engineering from Virginia Tech in 1988. His research focuses on parallel robots, cable-suspended systems, mobile robotics, and haptic interfaces for medical training and simulation. He has published over 47 journal articles and 136 conference papers, secured $4M in external grants, and developed patents like the 'Contour Crafting Cartesian Cable Robot.' Williams teaches courses such as robotic manipulators and biomechanics, and advises on projects like the NASA JSC ARGOS and Arecibo Reclamation initiatives. His awards include the Russ Outstanding Undergraduate Teaching Award and the Best Research Paper Award in Healthcare Simulation. He also engages in community outreach through robotics education for K-12 students and church music.

• Robotics and Automation
• Mechanical Engineering
• Physical human-robot interaction
• +۴ مورد دیگر

Xavier Garant is an Assistant Professor at Université de Sherbrooke's Mechanical Engineering department. His research focuses on robotics and automation, particularly in physical human-robot interaction, flexible robots, and impedance control. He holds a PhD in Mechanical Engineering (2024) and a Master's degree (2019) from Université Laval, where he also earned his B.Eng. (2017). Past Affiliation: Université Laval (PhD, Master's, Bachelor's) Research Focus: Flexible robots, Non-collocated sensing, Human-robot interaction His recent work explores decoupling proprioception and actuation in robotic manipulators to overcome high stiffness requirements. His publications in IEEE/ASME Transactions on Mechatronics and IEEE Robotics and Automation Letters highlight advancements in lightweight robot design and control strategies. Notable awards include: CSME Gold Medal (2025) Université Laval Thesis of the Year (2024) Two-time Faculty of Graduate Studies Honour Roll recipient (2024, 2019) SAE Americas Fuel Efficiency Record (2017) Garant has secured multiple grants totaling over CAD$2M, including NSERC Discovery Grants and start-up funds from Université de Sherbrooke. He has presented at prestigious conferences like ICRA@40 and collaborated internationally at DLR (Germany) through FRQNT-funded internships.

Juraj Benićمشاهده پروفایل

استادیار

• Control theory
• Fluid power systems
• Internet of Things (IoT)
• +۷ مورد دیگر

Assistant Professor Juraj Benić is a control engineer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia . His interdisciplinary work bridges control theory, fluid power systems, IoT, and data-driven maintenance , with applications ranging from forestry vehicles to unmanned aerial systems. Education PhD in Control Theory and Mechanical Engineering, 2022 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture MSc in Control Theory and Mechanical Engineering, 2017 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture BSc in Control Theory and Mechanical Engineering, 2015 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Research Interests Prof. Benić’s core research areas include: Energy-efficient direct-driven hydraulic (DDH) systems for mobile machinery Hybrid-electric powertrains for forestry skidders and multirotor UAVs IoT-enabled predictive maintenance using convolutional neural networks and vibration analysis Fuzzy-logic and ontology-based controllers for electro-hydraulic systems Human-robot interaction and context-aware robotics Computational linguistics and digital corpora of Croatian dialects Publication Trends Since 2018 he has produced more than 25 peer-reviewed works. The 2023-2024 journal articles focus on hybrid UAV propulsion and comparative energy efficiency of hydraulic systems , while earlier works delve into fuzzy control ontologies , predictive maintenance via IIoT and fuel-saving hybrid skidders . Interspersed linguistic contributions showcase his versatility in digital dialectology. Scientific Awards & Recognition While explicit awards are not listed, he has delivered invited lectures (University of Maribor, 2021) and participated in study visits (South Kazakhstan State University, March 2024), indicating growing international recognition. Supervision & Collaboration He collaborates closely with colleagues from the University of Zagreb and University of Osijek, co-authoring with researchers such as D. Pavković, Ž. Šitum, M. Cipek, and D. Brezak. Student supervision is implied through experimental rigs and project descriptions, although specific advisee names are not provided. Laboratory & Field Infrastructure Research is supported by fully instrumented hydraulic test benches, a retrofitted deep-drilling rig, IoT accelerometer networks, and field-measurement campaigns on commercial skidders equipped with telematics (WIGO-E) for long-term fuel and energy-data logging.

Sunil Agrawalمشاهده پروفایل

استاد

• Robotics
• Rehabilitation Engineering
• Biomechanics
• +۴ مورد دیگر

Sunil Agrawal is a Professor of Mechanical Engineering and Rehabilitation and Regenerative Medicine at Columbia University. He directs the Robotics and Rehabilitation (ROAR) Laboratory and Robotic Systems Engineering Laboratory (ROSE). His work focuses on intelligent machine design, robotic systems for rehabilitation, and neural impairment recovery. Dr. Agrawal holds a PhD in Mechanical Engineering from Stanford University (1990). His research spans robotics, dynamics, and control systems, with emphasis on rehabilitation exoskeletons, gait training, and pediatric mobility solutions. He has pioneered methods for under-actuated dynamic systems and authored the monograph Differentially Flat Systems . His NIH- and NSF-funded projects include robotic exoskeletons for stroke survivors and infants with special needs, flapping-wing micro air vehicles, and cable-driven robotic platforms. Dr. Agrawal has received prestigious awards including the NSF Presidential Faculty Fellowship (1994), Bessel Prize (2002), and ASME Fellow distinction (2004). He has supervised 20 PhD and 30 MS students, authored ~350 papers, and holds 8 US patents. He serves on ASME committees and editorial boards for robotics and rehabilitation journals. Lab Affiliations: ROAR Lab, ROSE Lab Key Projects: RobUST postural trainer, mTPAD gait device, cervical traction exoskeletons Grants: NIH (rehabilitation robotics), NSF (space robots, flapping-wing MAVs) His work bridges robotics, biomechanics, and clinical rehabilitation, addressing mobility challenges for individuals with spinal cord injuries, stroke, and neuromuscular disorders.

Abbas Fattahمشاهده پروفایل

استاد آموزشی

• Robotics Engineering
• Biomechanical Systems
• Rehabilitation Engineering
• +۳ مورد دیگر

Abbas Fattah is a Teaching Professor of Mechanical Engineering at Widener University, affiliated with programs including Mechanical Engineering (BS/MSE) and International Engineering (BA/BS). He holds a PhD in Mechanical Engineering from McGill University (1995). His teaching philosophy emphasizes student engagement through real-world examples and discussions, with expertise in designing modern courses and laboratories aligned with emerging technologies in design and mechanics. Research interests focus on mechanical system design, robotics, and rehabilitation engineering. Notable work includes developing passive pelvic orthoses for gait rehabilitation, control systems for biped robots, and gravity-balancing orthotic devices. He is a member of the American Society of Mechanical Engineers (ASME). His publications span over two decades, addressing topics like parallel robot kinematics, underactuated biped control, and assistive devices. While no awards are explicitly listed, his contributions to biomechanical engineering and robotics reflect sustained academic impact.