Prof. Meek’s NSF NRI project results in quadruped robot trotting

The video shows the quadruped robot trotting on a treadmill test fixture.  The legs have fixed springs.  There are no sensors or control except for the motion of the hips and shoulders.  This is a demonstration of the passive stability with directionally compliant legs. This research project is led by robotics faculty Prof. Sanford Meek.  The project “NSF NRI grant: Biologically-inspired, hybrid quadruped robot control” is sponsored by the National Science Foundation.  ...

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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. Meek receives NSF NRI grant: Biologically-inspired, hybrid quadruped robot control

This research project is about designing better legs for legged robots. When a robot needs to move across rough terrain, as would be the case when searching for victims in a disaster area, legged robots have advantages over wheeled or tracked robots. They can traverse such terrain more easily, for example, stepping over fallen beams and bricks. However, legged robots are inherently more complex. They have many more joints and are more difficult to control. The goal of the project is to use ideas from nature to overcome some of these difficulties. The shape and compliance of four-legged animals...

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Prof. Leang receives NSF grant to work with UAVs

Project title: PFI:BIC — Enhanced Situational Awareness Using Unmanned Autonomous Systems for Disaster Remediation, $800,000 (9/15/2014 – 9/14/2017) Team: PI: Kam K. Leang; Co-PIs: W. Yim (UNLV), G. Bebis, C. Murray, and G. Kent (UNR).  Industry partners: Drone America and SpecTIR The goal of this project is to enhance the situational awareness capabilities of law enforcement agencies and first responders by employing unmanned autonomous systems (UAS) with high-resolution sensing and imaging capabilities for disaster remediation. Law enforcement agencies and first responders face significant challenges during an emergency event, such as a natural or anthropogenic disaster (earthquake, tsunami, fire, hurricane,...

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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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