Prof. Leang and collaborators receive new $3.8M NSF funding to work on electroactive polymer materials for soft robotics

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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Prof. Meek receives new NIH grant to work on Quadrupedal Human-Assistive Robotic Platform (Q-HARP)

NRI: Collaborative Research: Quadrupedal Human-Assistive Robotic Platform (Q-HARP) Prof. Meek receives new 3-year $119,523 NIH grant to work on Quadrupedal Human-Assistive Robotic Platform (Q-HARP). Aging of the population has become a long-term trend in the United States.  According to The State of Aging and Health in America, the U.S. population aged 65 and older is expected to double during the 25 years following 2007, and there will be 71 million American older adults, accounting for approximately 20% of the U.S. population by 2030.  For the health and wellbeing of older adults, a key factor is being physically active.  However,...

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Prof. Leang receives NSF grant to work on temporal-spatial control of dual-stage nanopositioning systems

Prof. Leang and collaborators from industry (Molecular Vista, Inc. (MVI)) and Villanova University (Prof. Garrett Clayton) received a new NSF grant ($305,912) from Sensors, Dynamics, & Control program to study new design and control system approaches for the development of advanced nanopositioning systems for nanoscale science and engineering applications.  More specifically, the new 3-year NSF collaborative Grant Opportunities for Academic Liaison with Industry (GOALI) research project focuses on new design and control paradigms for dual-stage nanopositioners that consider both spatial and temporal constraints. Emerging dual-stage nanopositioners have the unique ability to achieve both long-range and high-speed operation. However, typical control strategies rely on frequency-based...

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Dr. Tucker Hermans joins Utah Robotics as Assistant Professor in the School of Computing

Utah Robotics welcomes Dr. Tucker Hermans as Assistant Professor in the School of Computing. Dr. Hermans received his Ph.D. degree in Robotics from Georgia Tech’s School of Interactive Computing in 2014. He worked under the supervision of Aaron Bobick and Jim Rehg in the Computational Perception Laboratory. Shortly before joining the University of Utah, Dr. Hermans was a postdoctoral researcher in the Intelligent Autonomous Systems lab at Technische Universitӓt Darmstadt in Darmstadt, Germany. There, he worked with Jan Peters on tactile manipulation and robot learning, while serving as the team leader at TUDa for the European Commission project TACMAN....

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Prof. Leang receives DOE STTR Phase I grant for high-speed AFM

Prof. Leang and industry partner Molecular Vista, Inc., San Jose, CA, recently received Dept. of Energy STTR Phase 1 grant, “Video-rate atomic force microscope for functional gas and liquid environments”.  In this 9-month project, the team plans to develop a prototype video-rate AFM system for investigating materials in gas and liquid environments.  The $150,000 project will allow the team to show proof of concept with the hope of pursuing a Phase II grant to continue the work....

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Prof. Leang receives NSF grant: COLLABORATIVE RESEARCH: HIGH-SPEED AFM IMAGING OF DYNAMICS ON BIOPOLYMERS THROUGH NON-RASTER SCANNING

Prof. Leang and collaborators at the Boston University receive $697,835 NSF grant: COLLABORATIVE RESEARCH: HIGH-SPEED AFM IMAGING OF DYNAMICS ON BIOPOLYMERS THROUGH NON-RASTER SCANNING.   The primary aim of this project is to create a novel high-speed atomic force microscope (AFM) imaging system with frame rates of on the order of 100 frames/second. While the creation of this instrument may have a significant impact on a broad range of application areas, the primary target is the study of biomolecular processes. The extremely fast frame rate and long range will allow for the direct visualization of dynamic process that previously could...

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