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Nabil Simaan is a Professor of Mechanical Engineering at Vanderbilt University with secondary appointments in Computer Science and Otolaryngology . He leads the Advanced Robotics and Mechanism Applications (ARMA) laboratory, focusing on surgical robotics, continuum robots, and intelligent human-robot interaction. Education : Ph.D., M.Sci., and B.S. in Mechanical Engineering from the Technion—Israel Institute of Technology . Postdoctoral Research at Johns Hopkins University NSF ERC-CISST (2003-2004). Research Interests : Medical robotics for minimally invasive procedures Kinematic modeling and optimization of parallel/continuum robots Telemanipulation and semi-autonomous control Flexible mechanisms and actuation redundancy Article Trends : His recent work emphasizes subretinal surgical robots, continuum manipulators for transurethral operations, and multi-scale dexterity through mathematical synthesis using screw theory and algebraic geometry. Scientific Awards : NSF Career Award (2009) for intelligent surgical robots IEEE Senior Member (2013) for contributions to robotics Advising & Grants : Advises PhD/MSc students in robotics and mechanism design. NIH-funded work on OCT-guided retinal surgery robots. NSF grants for continuum robot kinematics and redundancy control. Labs & Collaborations : Leads the ARMA Lab , bridging engineering and clinical medicine. Collaborates with Vanderbilt Institute for Surgery and Engineering (VISE) and industry partners like AURIS Surgical Robotics. Translational focus through Titan Medical Inc. partnerships.

• Medical Robotics
• Surgical Robotics
• Continuum Robotics
• +7 more

Ignacio Avellino is a tenured Research Fellow (Chargé de Recherche) at CNRS, working in the Institute of Intelligent Systems and Robotics (ISIR) at Sorbonne-Université. His research focuses on Human-Computer Interaction (HCI) in healthcare, particularly surgical telementoring, remote collaboration (CSCW), and robotics. He holds a PhD from Paris-Saclay University (2017) under Michel Beaudouin-Lafon and conducted postdoctoral research at ISIR and UMBC. Education: PhD in HCI, Paris-Saclay University (2017) Postdoctoral Fellowships: ISIR (France) and UMBC (USA) Research Interests: His work bridges HCI with medical applications, emphasizing interaction design in surgical settings. Key areas include telementoring systems, telepresence tools for collaborative work, and robotic surgery interfaces. He explores challenges like gaze interpretation in hub-satellite collaboration and surgical video summarization for postoperative debriefing. Grants & Recognition: ISI Grant from IUIS (2020) Best Paper Honorable Mention at ACM CHI 2023 CHI Steering Committee member (Early Career Researcher) Advising & Grants: Supervises PhD/MSc students (e.g., Anastasiya Zakreuskaya, Nour Karoui) and manages grants like the IUIS-funded telementoring project. Collaborates on surgical cockpit systems to keep surgeons physically present during operations. Labs & Teams: Leads ISIR's healthcare systems group, focusing on surgical robotics and AR/VR applications. Active in collaborative projects like the Surgical Cockpit and Comanipulation for robotic tools.

• Human-Computer Interaction (HCI)
• Remote Collaboration (CSCW)
• Robotics
• +3 more

Yildirim Hurmuzlu holds the dual distinguished professorships of Altshuler Distinguished Professor and University Distinguished Professor within the Department of Mechanical Engineering at Southern Methodist University. His primary affiliation is explicitly stated with his office located in Embrey 301C, confirming active faculty status in mechanical engineering research and instruction. His research interests focus on Robotics, Control Systems, and Dynamics and Vibrations, particularly examining rigid body collision mechanics, bipedal locomotion stability, and magnetic actuation for micro-scale robotics. Key specialties include impact dynamics in kinematic chains, nonlinear control of inverted pendulum systems, haptic interface design for medical applications, and aerospace robotics for space debris mitigation. This work bridges theoretical dynamics with practical implementations in robotic inspection systems and human digital twin technologies. Recent publications (2020-2025) reveal a strategic shift toward magnetic millirobotics for industrial inspection and modular assembly, while maintaining foundational work in impact dynamics. Aerospace applications now dominate new research strands, especially human digital twins for manufacturing quality assurance and tethered satellite control for space debris removal. Medical haptics remains a consistent theme with continued development of virtual palpation systems. Awards include: Altshuler Distinguished Professor University Distinguished Professor No student advising records or grant funding details were provided in the source material. His departmental affiliation confirms leadership in robotics and dynamics research without explicit mention of labs or teams, though his work implies substantial involvement in experimental robotic systems development through repeated references to design, control, and implementation.

• Robotics
• Control Systems
• Dynamics and Vibrations
• +3 more

Long Wang is an Assistant Professor in the Department of Mechanical Engineering at Stevens Institute of Technology, part of the Charles V. Schaefer, Jr. School of Engineering and Science. He holds a Ph.D. in Mechanical Engineering from Vanderbilt University (2018), an M.S. in Mechanical Engineering from Columbia University (2012), and a B.S. in Mechanical Engineering from Tsinghua University (2010). His research focuses on building robots and intelligent machines for challenging environments, with expertise in telemanipulation, kinematic modeling, continuum robots, and robotic hand designs. Dr. Wang leads the Advanced Robot Manipulators Laboratory, which investigates applications in minimally invasive surgery, search and rescue operations, and remotely assisted tasks. Key research areas include compliant manipulator designs, collaborative robotics, and human-in-the-loop teleoperation systems. His recent publications demonstrate a strong focus on continuum robots, underwater manipulation systems, and surgical robotics. Trends show innovative approaches to admittance control, modular designs for aerial and marine applications, and educational robotics initiatives. Courses taught include Robot Manipulators (ME 650), Introduction to Modern Control Engineering (ME 621), and Engineering Graphics (E 120).

• Robotics
• Continuum Robots
• Telemanipulation
• +3 more

Michael Gleicher is a Professor at the University of Wisconsin-Madison, holding primary affiliation in the Department of Mechanical Engineering and additional affiliation in the Department of Computer Sciences. His research focuses on Computer Graphics, Robotics, Data Visualization, and Human-Robot Interaction. He has contributed to projects such as Re-Cinematography for video stabilization and advanced telemanipulation systems. His work spans domains including motion editing, visualization techniques, and robotic control systems. Key themes include improving camera dynamics in casual videos, developing shared autonomy frameworks for teleoperation, and enhancing visual analytics for data exploration. Gleicher’s research integrates concepts from computer graphics, robotics, and human-computer interaction to create intuitive and effective systems. Recent articles highlight advancements in motion planning algorithms, collaborative robotics, and visual validation methods. He has explored topics such as end-effector trajectory tracking, parameter space analysis, and multimodal data integration for geospatial visualization. His work often emphasizes practical applications, such as improving robot teleoperation interfaces and enhancing user perception in data-driven tasks. Gleicher’s contributions include systems like RelaxedIK for robot motion synthesis and Boxer for classifier result comparison. His research has been published in top-tier venues, addressing challenges in both theoretical and applied domains of computer science and engineering.

• Computer Graphics
• Data Visualization
• Robotics
• +5 more

Xiaoli Zhang serves as Associate Professor in the Department of Mechanical Engineering at Colorado School of Mines, where she leads cutting-edge research in human-robot cooperation, intelligent control systems, and teleoperation with applications spanning healthcare, surgery, additive manufacturing, and underground construction. Her work focuses on enhancing robot adaptability and robustness through optimal control, machine learning, and cognitive science principles, supported by facilities like the Intelligent Robotics and Systems Lab. Dr. Zhang's research integrates artificial intelligence with robotics to solve complex engineering challenges, particularly in smart human-machine interaction and shared autonomy systems. Key areas include natural-language-based robot control, gaze-driven assistance interfaces, and physics-informed machine learning for additive manufacturing processes. Her methodologies emphasize real-world applicability in medical robotics and industrial automation, where systems must dynamically adapt to environmental changes and human collaborators. Analysis of her recent publications reveals dominant trends in machine learning-enhanced robotics, with significant contributions to additive manufacturing quality control, dexterous manipulation, and safety-conscious teleoperation systems. Her work consistently bridges theoretical AI advancements with practical engineering applications, particularly in laser-based manufacturing and assistive robotics where human-robot synergy is critical. Scientific recognition includes: NSF CAREER award for pioneering research in robotics and intelligent systems Dr. Zhang directs the Intelligent Robotics and Systems Lab, which develops advanced control frameworks for human-robot teams while securing competitive funding like the NSF CAREER grant. Her educational impact extends through courses such as MEGN 545 Advanced Robot Control and MEGN 441 Introduction to Robotics, training next-generation engineers in autonomous systems design. The lab maintains strong industry partnerships for translating research into surgical robotics and manufacturing applications. The Intelligent Robotics and Systems Lab operates as a multidisciplinary hub where computer vision, machine learning, and mechanical engineering converge to solve real-world problems. Current projects focus on gaze-based control systems for surgical assistance, transfer learning for multi-platform additive manufacturing, and adaptive shared autonomy frameworks that maintain safety during human-robot collaboration in dynamic environments.

• Human-Robot Cooperation
• Knowledge-Based Robotics
• Intelligent Control
• +8 more

Jeremy D. Brown is the John C. Malone Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University, part of the Whiting School of Engineering. His research focuses on the intersection of robotics, biomechatronics, and medicine, particularly in haptic feedback systems for prosthetics, surgical robotics, and rehabilitation. He leads the Haptics and Medical Robotics (HAMR) lab, exploring human perception of touch and its application to human-robot collaboration. Brown holds degrees from Morehouse College (B.S. in Applied Physics), the University of Michigan (B.S., M.S., and Ph.D. in Mechanical Engineering), and completed postdoctoral work at the University of Pennsylvania. His accolades include the NSF CAREER Award, Sloan Fellowship, and multiple IEEE recognitions. He is a senior member of IEEE and active in ASME and NSBE. His research bridges engineering and medicine, with applications in prosthetic design, surgical robotics, and rehabilitation. Notable projects include developing wearable haptic interfaces and soft robotic tools for minimally invasive interventions. His work has been featured in Forbes , New York Times , and Science News . Awards include the IEEE RAS Technical Committee on Haptics Early Career Award NSF CAREER Award Sloan Foundation Fellowship His lab's innovations address gaps in user-centered prosthetic design and teleoperation systems, emphasizing clinical translation. Current projects explore affective touch in robotics and neurophysiological feedback mechanisms.

• Haptic Feedback
• Upper-Limb Prosthetics
• Surgical Robotics
• +3 more

Sara Falcone is a Visiting Assistant Professor of Computer Science at Vassar College since 2023. She holds a BA from Università degli Studi di Napoli Federico II, an MA from Università degli Studi di Trento, and a PhD from the University of Twente. Her research focuses on teleoperation systems, embodiment in human-robot interaction, and multimodal interaction design. Education: PhD, University of Twente MA, Università degli Studi di Trento BA, Università degli Studi di Napoli Federico II Her work explores how perceptual cues and calibration techniques influence the sense of embodiment in teleoperation, with applications in robotics and human-centered design. Recent studies include developing pupil dilation metrics for embodiment assessment and investigating operator-centric teleoperation models. Her research outputs span robotics, cognitive science, and engineering, emphasizing interdisciplinary approaches to human-robot interaction challenges. Current projects aim to establish standardized guidelines for teleoperation embodiment design.

• Robotics
• Human-Computer Interaction
• Teleoperation Systems
• +3 more

Michael Gleicher is a Professor in the Department of Computer Sciences at the University of Wisconsin, Madison. His primary research focuses on Visual Computing, with current emphases on robotics and data visualization, exploring how these technologies can be made more user-centric. He has been involved in groundbreaking work on shared autonomy in robotic inspection, visualization theory, and human-robot awareness systems. His teaching includes courses such as CS765 (Data Visualization) and CS559 (Computer Graphics), which he has taught extensively since the late 1990s. Recent iterations of these courses include Fall 2024 for CS765 and Spring 2025 for CS559. He also teaches advanced topics like Computer Animation (CS777) and Computer Games Technologies, reflecting his interdisciplinary interests. Research themes span robotics (e.g., tele-operation, novel sensors like SPAD) and visualization (summarization, uncertainty communication). He collaborates on projects like robotic camera systems for remote collaboration and haptic feedback devices. His work bridges theory and application, emphasizing practical usability and human-centered design. Michael advises students through structured guidance on research, including status reports, prelims/theses, and grant writing. His lab is part of the Wisconsin Graphics Group, fostering innovation in interactive systems and visual computing.

• Robotics
• Data Visualization
• Computer Graphics
• +5 more