Table of Contents Page #'s Title Name Department 2-12 Controlling Robots in Cluttered Environments Marc Killpack Mechanical Engineering 13-21 Multidisciplinary Design Optimization of Aircraft and Wind Turbines Andrew Ning Mechanical Engineering 22-25 Alternate Reality Games for STEM Learning Derek Hansen Information Technology 26-32 Research on Permanent Digital Data Storage Barry Lunt Information Technology
Controlling Robots in Cluttered Environments Marc Killpack Mechanical Engineering marc_killpack@byu.edu (801) 422 6342 Areas of Interest: Haptic and proximity sensing; Variable impedance control; Real time optimal control; Human robot interaction
Controlling Robots in Cluttered Environments Marc D. Killpack 801 422 6342 marc_killpack@byu.edu Research interests: haptic and proximity sensing, variable impedance control, real time optimal control, human robot interaction
Industrial Robots Are. Fast Accurate Repeatable 3
Most Robots Are Not Reactive Compliant Aware 4
Manipulation in Clutter 5
Robot Reaching in Clutter 6
Robots with Compliance at the Joints
Robots with Compliance at the Joints
Controlling Robots with Compliance at the Joints
Controlling Soft Robots They can provide significant benefits in terms of human assistance and collaboration, rugged terrain exploration, or equipment maintenance. They are cheaper(10 times cheaper), lighter (10 times lighter), smaller (10 times smaller packing volume). Platform could be useful in other areas such as search and rescue or disaster response.
Current Research Questions How can we improve trajectory following in free space for robot arms that have compliance in the links and joints? How can we modify joint impedance on the fly to mitigate effects from unexpected and uncertain contact locations? How can we model discontinuous contact mechanics in order to incorporate it in our controller formulations? Can we integrate both proximity and haptic sensing to improve time efficiency of robots operating in clutter? How do we improve the ability of humans to interact with these robots for search and rescue or in home assistance scenarios?
Multidisciplinary Design Optimization of Aircraft and Wind Turbines Andrew Ning Mechanical Engineering aning@byu.edu (801) 422 1815 Areas of Interest: Multidisciplinary Optimization; Aircraft Design; Wind Energy; Aerodynamics; Aeroelasticity; Uncertainty Quantification; Computational Methods
Aeronautics
Tailless Aircraft Design Optimization Uncertainty Quantification of Formation Flight Drag Savings
30 E 0 30 W 60 W 60 N 90 W Transonic Behavior of Formation Flight Formation Flight Route Optimization 30 N 120 W
Multifidelity Optimization Algorithm Development 70 70 60 60 50 50 40 40 30 30 20 20 10 0 10 20 30 40 50 60 70 10 0 10 20 30 40 50 60 70 Online Parameter Estimation for Unmanned Aerial Vehicles y (m) 80 60 40 20 0 20 40 3 2 4 1 0 0 50 100 150 x (m) relative alt. (m) u (m/s) 10 0 10 20 0 20 40 60 80 time (s) 15 10 5 0 0 20 40 60 80 time (s)
Wind Energy
New Solution Method to Blade Element Momentum Equations Different Objectives Used in Wind Turbine Optimization % change
High Tip speed Rotors Downwind Rotors
Offshore Foundation Design Wind Plant Layout Optimization
Alternate Reality Games for STEM Learning Areas of Interest: Derek Hansen Information Technology School of Technology dlhansen@byu.edu (801) 422 7467 New Tools & Methods to Analyze Social Experience; Novel Designs of TMSP Interventions; Understanding and Designing Social Technologies for the Public Good
Alternate Reality Games for STEM Learning BYU Speed Networking Event Derek L. Hansen Associate Professor Information Technology, BYU dlhansen@byu.edu
Alternate Reality Games Fictional narratives told using real world technologies with participation from players who work together to solve puzzles and contribute content.
Informal STEM Learning Deep time sciences ARG focused on teaching and using the process of scientific inquiry http://dustgame.byu.edu Historical ARG focused on computational thinking
Research on Permanent Digital Data Storage Barry Lunt Information Technology luntb@byu.edu (801) 422 2264 Areas of Interest: Long term computer data storage; Teaching of computing and technology
Barry Lunt, Information Technology, School of Technology 422-2264 luntb@byu.edu Matthew Linford, Chemistry Robert Davis, Physics Research on Permanent Digital Data Storage
Today s Storage Options: Flash Magnetic Tape Optical Discs Hard-Disk Drives
Today s Storage Options: Flash Magnetic Tape Optical Discs Hard-Disk Drives
Summary Storage Type Advertised LE Practical LE Magnetic Tape 30 50 yrs 5 7 yrs Hard Disk Drive 5 7 yrs 1 3 yrs Flash Memory Not specified 8 10 yrs Recordable OD 30 50 yrs 1 5 yrs Needed >1000 yrs >500 yrs
Materials Approach There are materials which will last >1000 years M-Disc (DVD & now BD) tested to >1000, 500 yrs, respectively Now developing solid-state (like flash) permanent storage And permanent optical tape storage What are the implications?
7 years 6 journal papers 25 conference proceedings Some external funding Research Output