Balakumar Sundaralingam’s and Tucker Hermans’ research paper entitled, “Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization” was recently accepted in Robotics: Science and Systems (RSS), 2017. Congratulations!...
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Project title: Quantifying the Benefits of Head-mounting in Telemanipulated Robotic Eye Therapies Many of the up-and-coming therapeutic protocols in ophthalmology are technically difficult, near or beyond the limits of human ability, and are being attempted by only a few surgeons. Surgeon hand tremor combined with patient movement due to breathing and snoring place a lower limit on achievable precision. Over the past few years, with the support of Intuitive Surgical, Abbott and his collaborators have developed a robotic manipulator that is more precise than all prior systems designed for robot-assisted eye surgery, and which is small and light enough...
Read MoreThe following papers by Utah Robotics faculty and students were recently accepted to the 2017 ICRA: P. Sabetian and J. Hollerbach, “A 3 Wire Body Weight Support System for a Large Treadmill”, IEEE Int. Conf. Robotics and Automation, 2017, to appear. J. J. Abbott, J. B. Brink, and B. Osting, “Computing Minimum-power Dipole Solutions for Interdipole Forces using Nonlinear Constrained Optimization with Application to Electromagnetic Formation Flight, IEEE Robotics and Automation Letters, accepted. K. M. Popek, T. Hermans, and J. J. Abbott, “First Demonstration of Simultaneous Localization and Propulsion of a Magnetic Capsule in a Lumen using a Single Rotating...
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Project title: Reducing Traumatic Brain Injury Risk with Smart Collision Detection and Mitigation The goal of the project is to reduce the risk of Traumatic Brain Injury (TBI) through smart technology that collects sensory data to predict and characterize impacts in real-time, optimizes protective mechanisms based on impact characteristics (e.g., direction, velocity), and transmits final impact attributes to a database for further analysis and injury risk prediction. This technology will substantially improve TBI prevention and diagnosis in motor vehicle crashes, sports, and industrial accidents. The unique technology will leverage musculoskeletal and biomechanical computational models linking head linear and angular...
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Jake Abbott’s group publishes two new research papers, one on how humans interact with robots designed for precision tasks such as microsurgery and another on localizing magnetic capsule endoscopes inside the human body. In their new paper “Human Velocity Control of Admittance-Type Robotic Devices With Scaled Visual Feedback of Device Motion,” published in the IEEE Transactions on Human-Machine Systems, Dr. Abbott’s group describes the control of a class of robots uses for very precise tasks. These robots are heavily geared, so that they only move in a very controlled way, and the human operator interacts directly with a force sensor...
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Prof. Tucker Hermans paper entitled, “Active Tactile Object Exploration with Gaussian Processes”, was recently accepted to the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). His co-authors are Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Yilei Zhang, and Jan Peters. ABSTRACTAccurate object shape knowledge provides important information for performing stable grasping and dexterous manipulation. When modeling an object using tactile sensors, touching the object surface at a fixed grid of points can be prohibitively time consuming. In this paper, we present an active touch strategy to efficiently reduce the surface geometry uncertainty by leveraging a probabilistic representation of object surface. In particular,...
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Kam Leang and Eric Pardyjak partnering with company Nevada NanoTech Systems, Inc., receive US Army DOD grant to develop a chemical sensing aerial robot. The two-year $1,000,000 (Utah’s share of $330,000) project, entitled, “STTR Phase II: Autonomous Broad Spectrum Environmental Sentinels“, will focus on developing an autonomous, hover-capable, flying robot with integrated real-time chemical sensing, inter-unit communication and basics swarming capabilities, and the potential for self-powering. The final platform will detect and identify airborne chemicals using an onboard Molecular Property Spectrometer (MPS)—a low-cost, MEMS-based, lab-on-a-chip platform developed with support from DARPA and the DOD. This chip provides multi-mode chemical analysis with...
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Congratulations to Prof. John Hollerbach! He was recently named IEEE Life Fellow (in January), for his contributions in the robotics field and involvement with IEEE. Professor Hollerbach’s research involves robotics, virtual environments, and human motor control. He is also the Editor of the International Journal of Robotics Research, one of the top journals in robotics. ...
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Based on annual faculty activity report data, as well as proposal and grant data, the Department of Mechanical Engineering is pleased to recognize Prof. Jake Abbott as our researcher of the year. Jake is well-known in the robotics community for his work on magnetic manipulation, haptics, and telerobotics. The application of his work includes medical microrobots, magnetic guidance of a cochlear implant and robot-assisted rehabilitation. For more information about Jake’s research, visit http://www.telerobotics.utah.edu....
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Kam Leang in collaboration with UNLV-led team (Kwang J. Kim and Paul Oh) and other researchers receive new $3.8M NSF funding to work on electroactive polymer materials for soft robotics. Goal and Objectives: This international project addresses a technologically important issues in soft robotics. Soft robotics is an important emerging field in robotics, mechatronics, and automation. Soft robotic components and systems offer new features and advances over conventional robotic devices. This project focuses on the creation of advanced multifunctional artificial muscles (AM) based on new polymer-metal composites which can be used in soft robotic applications. Artificial muscles can be transformative for...
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