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Cameron RiviereView profile

Adjunct Assistant Professor

• Medical Robotics
• Surgical Robotics
• Bioengineering
• +7 more

Cameron Riviere is an Adjunct Assistant Professor in the Department of Rehabilitation Science and Technology at the University of Pittsburgh and a faculty member at the Robotics Institute, Carnegie Mellon University. He leads the Surgical Mechatronics Laboratory, focusing on robotic systems for microsurgery and medical interventions. Ph.D. in Mechanical Engineering, Johns Hopkins University (1995) B.S. in Ocean Engineering, Virginia Tech (1989) B.S. in Aerospace Engineering, Virginia Tech (1989) His research spans medical robotics , surgical mechatronics , and bioengineering , with emphasis on handheld micromanipulators, tremor suppression, and robot-assisted intraocular and cardiac procedures. He develops systems that enhance precision, safety, and autonomy in surgery through advanced sensing, control, and machine learning. The recent publications highlight a strong trend in image-guided surgical robotics , particularly using monocular vision and electromagnetic tracking for retinal and cardiac interventions. Themes include physiological motion compensation, force control, needle steering, and real-time localization. His work bridges engineering innovation with clinical application, aiming to improve surgeon workflow and patient outcomes. Second Place, 1995 Whitaker Student Paper Competition, IEEE Engineering in Medicine and Biology Society As director of the Surgical Mechatronics Laboratory, Dr. Riviere mentors students and researchers in developing next-generation surgical robots. While no specific grants are listed, his sustained publication record suggests continuous funding in robotics and biomedical engineering. His work includes collaborations across institutions and disciplines, particularly in integrating robotics into ophthalmology and cardiology. He directs the Surgical Mechatronics Laboratory at Carnegie Mellon, where his team develops innovative robotic tools such as the Micron handheld device, epicardial wire robots, and soft actuators for ablation catheters. The lab focuses on practical, deployable systems that address clinical challenges in minimally invasive surgery.

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

Hiroyuki Ishii is a Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering. With over 15 years of academic experience at Waseda University, he was promoted to full Professor in 2022 after serving as Associate Professor from 2016-2022. His research spans robotics, control systems, and mechanical engineering, with particular expertise in soft robotics and continuum manipulators. His educational background includes: Ph.D. from Waseda University (2004-2007) Master's degree from Waseda University Graduate School of Science and Engineering (2002-2004) Bachelor's degree from Waseda University School of Science and Engineering (1998-2002) Professor Ishii's research focuses on Robotics and Intelligent Mechanics and Mechanical Systems , with particular emphasis on soft robotics, continuum manipulators, and human-robot interaction. His work bridges theoretical control systems with practical applications in medical robotics, rehabilitation devices, and inspection systems. He has pioneered novel approaches in pneumatic actuation, growing robots, and bimanual continuum robot control, demonstrating exceptional creativity in solving complex mechanical challenges. His recent publications reveal a strong trend toward medical applications of robotics, particularly in surgical assistance and rehabilitation. There's also significant work on soft growing robots and continuum manipulators with innovative actuation mechanisms. His research shows increasing interdisciplinary collaboration, spanning mechanical engineering, computer vision, and biomedical applications. His notable awards include: Best Paper Award Finalist at IEEE ICMA2024 The Robotics Society of Japan 3rd Outstanding Research and Technology Award (2022) Minister of Education, Culture, Sports, Science and Technology Young Scientists Award (2018) Advanced Robotics Best Paper Award (2015) ICRA2014 Best Cognitive Robotics Paper Award Finalist Professor Ishii actively participates in research committees and professional societies, serving as Director of the Robotics Society of Japan since 2024. His research has received substantial funding through competitive grants, supporting his work on innovative robotic systems with practical applications in healthcare, infrastructure inspection, and human-robot collaboration. His laboratory develops specialized robotic systems including small mobile robots for animal interaction, soft growing robots, and continuum manipulators for surgical applications. The team combines mechanical design expertise with advanced control algorithms to create robots capable of operating in complex environments.

Juan A. CarreteroView profile

Professor

• Robot Kinematics
• Parallel Manipulators
• Motion Simulators
• +3 more

Juan Antonio Carretero is Professor and Associate Dean Academic in Mechanical Engineering at the University of New Brunswick. His research focuses on robot kinematics, parallel manipulators, and motion planning, with applications in autonomous systems and mechanical design. He leads projects on reconfigurable robotic platforms and underwater docking systems, supported by multiple grants including SSHRC and McCain Foundation awards. Dr. Carretero has co-authored over 50 publications on mechanism optimization, cable-driven robots, and motion simulation. He teaches courses in robotics and mechanical design while supervising graduate research in kinematics and automation systems.

Mitchell RushtonView profile

Assistant Professor

• Robotics
• Vibration Control
• Cable-Driven Parallel Robots
• +3 more

Dr. Mitchell Rushton is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology, part of the Faculty of Engineering and Applied Science. His expertise lies in robotics, vibration control, and cable-driven parallel robots. He holds a PhD in Mechanical and Mechatronics Engineering from the University of Waterloo (2022), along with a MASc (2016), BASc (2013), and a Certificate in University Teaching (2020). Education: PhD, Mechanical and Mechatronics Engineering, University of Waterloo (2022) Certificate in University Teaching, University of Waterloo (2020) MASc, Mechanical and Mechatronics Engineering, University of Waterloo (2016) BASc, Mechatronics Engineering, University of Waterloo (2013) Research Interests: Dr. Rushton focuses on advancing robotics and mechatronics systems, particularly in cable-driven parallel robots, vibration control mechanisms, and continuum robotics. His work addresses challenges in dynamic stabilization, obstacle avoidance, and efficient actuator design. Recent research includes innovative solutions for vibration regulation and adaptive control in robotic systems. Publications: His research spans theoretical and applied robotics, with a focus on vibration control and cable-driven systems. Key contributions include studies on configuration-space modeling, reaction-based stabilization, and hybrid robotic architectures. Awards: No scientific awards explicitly mentioned. Advising & Grants: No listed advisees or grants. His work is primarily driven by academic research collaborations and institutional support. Labs/Teams: While specific lab affiliations are not detailed in the text, his research aligns with the broader automotive and mechatronics engineering initiatives at the University of Ontario Institute of Technology.

Giovanni PittiglioView profile

Assistant Professor

• Medical Robotics
• Continuum Robots
• Medical Devices
• +4 more

Giovanni Pittiglio is an Assistant Professor of Robotics Engineering at Worcester Polytechnic Institute (WPI) and the founder of the FuTURE Lab. He holds a PhD in Medical Robotics from the University of Leeds (UK), and prior degrees from Imperial College London and the University of Pisa. His research focuses on developing medical robots and devices for minimally invasive diagnosis and treatment, particularly in cancer therapy and anatomical interventions. Education: PhD in Medical Robotics, University of Leeds (UK) MRes in Medical Robotics and Image Guided Interventions, Imperial College London (UK) MSc in Robotics, University of Pisa (Italy) BSc in Biomedical Engineering, University of Pisa (Italy) Research Interests: His work emphasizes continuum robots for accessing deep anatomical regions, magnetic actuation systems, and patient-specific catheter design. He aims to improve medical care accessibility through innovations like magnetic tentacles for lung cancer treatment and follow-the-leader navigation in bronchoscopy. Awards: 2022-2023 British Council UK Alumni Award for Science and Sustainability 2023 Hamlyn Symposium Best Paper Award 2023 International Symposium on Medical Robotics Best Paper Award 2023 IROS Best Paper Award finalist Lab & Activities: As principal investigator of FuTURE Lab, he leads projects in medical robotics, including collaborations with Harvard Medical School. Recent activities include talks at ISMR 2025, IROS 2024, and presentations on cardiac ablation and lung cancer therapies using magnetic robotics.

Shaoping BaiView profile

Professor

• Rehabilitation Robotics
• Exoskeleton Systems
• Parallel Manipulators
• +5 more

Professor Shaoping Bai serves in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science, where he leads research in rehabilitation robotics and mechanical systems. His work focuses on developing innovative exoskeleton technologies to assist individuals with disabilities in performing daily activities. His primary research domains include: Rehabilitation Robotics and Assistive Technologies Exoskeleton Design and Control Systems Parallel Manipulators and Robotic Mechanisms Biomechanics and Human-Machine Interaction Wearable Robotics for Medical Applications Recent publications demonstrate a strong emphasis on clinical validation of exoskeleton systems, with growing interdisciplinary collaboration between engineering, medical, and human factors disciplines. His work shows particular focus on upper-limb assistance systems and terrain-adaptive walking technologies. Notable recognitions include: Best paper award at IFToMM 2018 Wearable Robotics Association's 2018 Innovation Challenge Grand Prize Winner Professor Bai actively participates in multiple research initiatives including the Center for Rehabilitation Robotics and the Intelligent Hybrid Light Weight Tendon Based Exoskeleton project, securing substantial research funding for assistive technology development. His work frequently involves cross-disciplinary teams comprising engineers, medical professionals, and computer scientists. As a core member of Aalborg University's Center for Rehabilitation Robotics, he contributes to advancing technologies that improve quality of life for individuals with disabilities through sophisticated robotic solutions.

Girish KrishnanView profile

Assistant Professor

• MEMS Sensors
• Adaptive Structures
• Soft Robotics
• +6 more

Girish Krishnan is an Assistant Professor in the Department of Mechanical Science & Engineering at the University of Illinois Urbana-Champaign, part of the Grainger College of Engineering. His research focuses on soft robotics, compliant mechanisms, and wearable assistive devices. He holds a BEng from R. V. College of Engineering, an MSc from the Indian Institute of Science, and a PhD from the University of Michigan. His work spans design, analysis, and application of fiber-reinforced actuators, pneumatic systems, and adaptive structures. Education: BEng in Mechanical Engineering, R. V. College of Engineering (2004) MSc in Engineering, Indian Institute of Science (2006) PhD in Mechanical Engineering, University of Michigan (2011) Research Interests: His studies include MEMS sensors, soft robotic actuators, and wearable exoskeletons. He explores architectures inspired by biological systems to enhance actuator performance and stiffness modulation. Recent work focuses on pneumatic muscle arrangements and self-contacting manipulators. Publications: Over 20+ peer-reviewed articles in journals like Smart Materials and Structures , ASME Journal of Mechanical Design , and conference proceedings of ICRA and IEEE Robotics. His research emphasizes practical applications in industrial and biomedical robotics. Awards: NSF CAREER Award (2015), Freudenstein Young Investigator Award (2017), and multiple teaching accolades including the 2016 Engineering Council Award for Excellence in Advising. His lab, the Monolithic Systems Lab, pioneers innovative designs in compliant mechanisms and soft systems. Grants & Advising: Led projects funded by NSF and industry, advising senior design teams on robotic systems. Contributions include developing curricula integrating project-based learning with departmental research.

• Control Theory and Applications
• Robotics
• Artificial Intelligence
• +2 more

Gökhan GÜNGÖR is a Lecturer at Karabük University, Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He holds a PhD (2020) and Master's Degree (2014) from University of Waterloo, Canada, and a BSc (2011) from Fırat University, Turkey, in Mechanical Engineering. Research Areas Control Theory & Applications Robotics Artificial Intelligence Mechatronics Image Processing His recent work focuses on AI-augmented reliability analysis for hydrogen-integrated renewable systems, adaptive control of cable-driven robots, and neuro-fuzzy sensorimotor control. He supervises research projects including Large Language Models for Multi-Agent Reinforcement Learning in Energy Systems (2024, TÜBA/TÜBİTAK-funded). Scientific Recognition 2023 Teknofest Health Innovation Second Prize (Supervisor) 2015 Waterloo Graduate Research Assistantship ($250k+) Multiple scholarships at Waterloo (2014-2017) 2011 National Project Competition First Prize (Turkey) He teaches undergraduate courses in Automatic Control, Signal & Systems, Digital Signal Processing, and graduate-level Autonomous Robotics. Currently serves as Director of Research and Application Center for Robot Technologies (2022-), and Quality Committee member (2022-).

• Robotics
• Mechatronic Systems
• Human-Robot Interaction
• +4 more

Xiumin Diao is an Associate Professor at Purdue University's School of Engineering Technology, specializing in robotics and mechatronic systems for healthcare and manufacturing applications. His work emphasizes human-robot interaction, control algorithms, and energy-efficient UAV designs. Education: Ph.D. in Mechanical Engineering (2007, New Mexico State University) M.S. in Measurement Technology and Automatic Device (2003, Beihang University) B.S. in Mechanical Design and Manufacturing (2000, Yantai University) Research focuses on cable-driven parallel robots , reinforcement learning , and intention prediction using neural networks. Recent publications explore stiffness analysis, UAV arm rotation efficiency, and hybrid control strategies. Key trends in his work include: Advancing adaptive control for robots with unknown dynamics Optimizing energy efficiency in aerial robotics Applying deep learning to human motion understanding His lab develops hardware-in-the-loop microgravity simulators and rehabilitation devices, with applications in disaster exploration and satellite docking.

Jacques GangloffView profile

Professor

• Robotics
• Medical Robotics
• Vision-Based Control
• +5 more

Jacques Gangloff is a Full Professor at Télécom Physique Strasbourg (University of Strasbourg) and a member of the ICube Laboratory. He holds roles such as Co-director of the IRIV Master’s program (since 2015), Head of the AR course in IRIV Master (since 2005), and Chairman of the Scientific Expert Committee of Télécom Physique Strasbourg (since 2022). His research focuses on robotics, medical robotics, and vision-based control systems. He earned his PhD in 1999 and Habilitation in 2004. He is an Associate Editor of IEEE Robotics and Automation Letters (since 2024). Education: Engineering degree from INSA Strasbourg (1992), DEA in Photonics and Imaging (1996), Agrégation in Electrical Engineering (1995). Research Themes: Medical Robotics, Predictive Control, Frugal Robotics, and Complex Systems. Awards: Multiple best paper awards in robotics and medical robotics conferences. He leads the 'Complex Systems and Sparsity' theme in the RDH team and has developed software tools like RPIt and MGPC for control systems. His teaching includes courses on robotics, real-time computing, and drones.

• Event-Driven Control
• Cyber-Physical Systems
• Robotics
• +6 more

Sylvain Durand Chamontin serves as an Associate Professor at INSA Strasbourg, affiliated with the ICube research laboratory (UMR 7357) and the AVR (Automation, Vision, Robotics) team. His teaching encompasses advanced automation (anti-windup, Smith predictor, LQ control), embedded systems/IoT, motorization/axis control, linear automation (state feedback, observers), and sequential automation (GRAFCET, GEMMA) for electrical engineering, mechatronics, and mechanical engineering students across 2nd–5th year programs. His research centers on frugal design and control of embedded cyber-physical/robotic systems under resource constraints, with a dedicated focus on non-periodic sampling and event-driven techniques . Key domains include event-driven control architectures, dynamic vision sensor-based visual servoing, aerial robotics (UAVs/aerial manipulators), and swarm robotics. This work systematically reduces computational load, communication overhead, and energy consumption while maintaining robust performance in resource-limited environments—critical for embedded implementations in drones and cyber-physical systems. Analysis of Durand's 15 most recent publications (2022–2025) reveals a dominant trend in event-driven control for robotics, increasingly integrating machine learning for adaptive tuning. His work targets practical applications in aerial robotics, including UAV stabilization under ground effects, elastic-suspension aerial manipulation, and event-based visual servoing. A strong emphasis on frugality permeates techniques like non-periodic sampling and resource-aware control strategies, directly addressing hardware limitations in embedded platforms. Durand mentors award-winning PhD students including M. Pivert (Best Student Paper Award, IFAC Robotics 2025), T. Paul (i-PhD Innovation Contest 2022), and A. Yiğit (Best PhD Award in French Robotics 2021). He leads multiple ANR-funded projects: e-VISER (event-driven visual control, 2018–2021), DexterWide (cable robots, 2015–2018), and current initiatives eSWARM (modular UAVs, 2023–2025), muteSWARM (acoustic swarm control, 2023–2027), STRAD (street art drone, 2022–2026), TIR4sTREEt (urban micro-climatology, 2022–2026), and dark-NAV (GPS-denied navigation, 2021–2025). Within ICube's AVR team, Durand drives laboratory development of the dextAIR robot (omnidirectional aerial manipulator with elastic suspension) and embedded control systems for cable-driven parallel robots and swarm robotics. His experimental work emphasizes real-time implementation, energy efficiency, and frugal engineering principles—translating theoretical event-driven control into hardware solutions for resource-constrained robotic applications.

• Multibody System Dynamics
• Computational Kinematics
• Biomechanics of Human Motion
• +9 more

Francisco Javier Cuadrado Aranda is a faculty member in the Department of Naval and Industrial Engineering at the Ferrol Engineering Polytechnic School, University of A Coruña (UDC), Spain. His academic work spans teaching, research, and industrial collaboration, with a focus on mechanical engineering, multibody dynamics, and biomechanics. His research interests include: Multibody System Dynamics Computational Kinematics and Dynamics Biomechanics of Human Motion Gait Analysis and Orthosis Design Machine and Maintenance Engineering Simulation and Numerical Integration His recent publications (2021–2025) reflect a strong trend in applying multibody dynamics to biomechanics and robotics, particularly in human gait simulation, exoskeletons, assistive devices, and industrial applications. The research combines modeling, optimization, real-time simulation, and sensor integration, often with industrial or medical applications in automotive, maritime, and rehabilitation sectors. He has secured significant research funding from national (MINECO, Xunta de Galicia), European (EU), and industrial sources (GKN Driveline, NAVANTIA, Pixee Medical), and has directed multiple final-year and master’s theses. He is also involved in patents and software development through collaborations with Tecnalia and spin-offs like ABLE Human Motion. He leads the Laboratorio de Ingeniería Mecánica, where he supervises student projects and conducts applied research. His teaching includes Machine Design, Maintenance Engineering, Theory of Machines, and Biomechanics across Mechanical, Industrial, and Podiatry programs.

• Robotics
• Computational Kinematics and Dynamics
• Motion Planning and Control
• +3 more

Ros Giralt, Lluis is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mechanical Engineering and the CRG - Grup de Robòtica Computacional . His primary roles include academic research and teaching in robotics, with a focus on computational kinematics, dynamic motion planning, and singularity analysis in robotic systems. He holds a Doctorate in Industrial Engineering from UPC. Research Interests: His work centers on advanced robotics topics such as trajectory optimization for constrained systems, singularity-aware control, and motion planning for parallel and closed-chain robots. Key contributions include collocation methods for trajectory optimization and algorithms for singularity avoidance in complex mechanisms. Recent Research Trends: Recent publications emphasize trajectory optimization techniques (e.g., Legendre-Gauss pseudospectral methods), randomized kinodynamic planning for closed-chain robots, and cable-driven parallel robot control. His work bridges numerical computation and practical robotic applications, often involving collaboration with industry partners. Awards: Honorary Mention for the Planets Project (2017), Best Final Year Engineering Project (1991-1992). Advising & Grants: Advised PhD students like Ricard Bordalba and Carlos Rosales. Involved in projects like Synthesis of Optimally Agile and Graceful Robot Motions (2022) funded by competitive R&D grants. Labs/Teams: Leads the CRG - Computational Robotics Group , collaborating with institutions like the Institut de Robòtica i Informàtica Industrial (CSIC-UPC). Active in developing the CUIK Suite , a tool for analyzing multibody system motion.

Kepa IturraldeView profile

Assistant Professor

• Construction Automation
• Digital Transformation in Architecture
• Building Information Modeling (BIM)
• +4 more

Kepa Iturralde is a Senior Researcher and Junior Professor (Assistant Professor) at the Institute for Construction Management (IBL) of the University of Stuttgart. He works within the Cluster of Excellence IntCDC, focusing on the digital transformation of construction processes through robotics, automation, and advanced modeling techniques. Research Interests His work addresses the integration of Unmanned Aerial Vehicles (UAVs) for marker placement AprilTags detection for measurement accuracy Cable-driven robots for curtain wall installation Prefabricated layout definition Point cloud processing for renovation in construction workflows. He emphasizes automation, modular systems, and error-correction interfaces for building envelopes. Publications & Projects Recent articles highlight applications of robotics in residential renovation, machine learning for measurement precision, and kit-of-parts methodologies for façade upgrading. His research bridges technical innovation with practical implementation in construction lifecycle management. Education & Positions Kepa holds a PhD (2021) from the Technical University of Munich and a Master's degree in Architectural Construction from the University of the Basque Country. He has been affiliated with institutions such as the Technical University of Munich (2015–2021), Sungkyunkwan University (2015), and the University of Tokyo (2011–2014).

Johannes ClarView profile

Researcher

• Robotics
• Control Systems
• Mechatronics
• +3 more

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.