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z At the Water’s Edge University of NebraskaLincoln PIs: Carrick Detweiler, Jus5n Bradley University of the Pacific PIs: Elizabeth Basha, Mary Kay Camarillo, William Stringfellow Goals and Objectives Motivation Wetlands are cri5cal to the water cycle, yet they are a difficult environment to safely and effec5vely monitor. Robot systems have the poten5al to transform our understanding of complex wetlands systems by not only allowing faster and higher density sensing, but also by enabling new types of measurements and sample collec5ons that cannot currently be performed without significantly disrup5ng these sensi5ve systems. This project proposes expanding current unmanned aerial vehicle (UAV) systems, developing novel water monitoring systems, and designing algorithms in order to enable: (1) accurate measurement of the dynamic wetlands channels, including topography and flow, without prior knowledge, (2) adap5ve and autonomous installa5on of sta5c and limitedmobility sensors, and (3) op5miza5on of the overall robot and sensor system to improve informa5on gain while constrained by limited energy and communica5ons. National Robotics Initiative National Institute of Food and Agriculture Grant #2017-67021-25924 Design and implement UAVbased systems that measure wetlands channels including channel depth, topography, bathymetry, and water chemistry. Systems will focus on three challenges: sensor fusion for improved topography, land and water differen5a5on, and bathymetric models of iden5fied water regions. Develop algorithms and approaches to ensure sensing repeatability independent of environmental condi5ons. Design and implement algorithms to verify sensor node installa5on via UAV onboard sensors as UAV installs sensor node. Develop coop5miza5on planning schemes for singlevehicle mul5flight missions. Verify the systems and algorithms with our environmental engineers, incrementally incorpora5ng the technical advances and assessing the capabili5es of the systems through field studies conducted in wetlands in Nebraska and California. Educate students, scien5sts, and the public on the use, challenges, and need for robo5cs in wetlands systems through courses, workshops, and presenta5ons. Integration with Static Sensors San Luis Na5onal Wildlife Refuge and the City of Stockton Wetlands . Exis5ng pla[orm capabili5es. (top) Close flight to crops for physical assessment. (bo\om) Water sampling and sensing system. Carrick Detweiler Computer Science and Engineering - University of Nebraska Lincoln [email protected] Next Steps Future Work CoOp5miza5on of Missions Mul5Sensor Surface Classifica5on Sensor Installation Development of Communication, Power, and Other Metrics Installation and Optimization of Robotic Sensing Systems Nebraska Intelligent MoBile Unmanned Systems Pla[orm and System Design Verification with Field Deployments Multi-Flight Optimization

At the Water’s Edge€¦ · z At the Water’s Edge University*of*Nebraska1Lincoln* PIs:"Carrick"Detweiler,"Jus5n"Bradley" UniversityofthePacific * PIs:"Elizabeth"Basha,"Mary"Kay"Camarillo,""

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Page 1: At the Water’s Edge€¦ · z At the Water’s Edge University*of*Nebraska1Lincoln* PIs:"Carrick"Detweiler,"Jus5n"Bradley" UniversityofthePacific * PIs:"Elizabeth"Basha,"Mary"Kay"Camarillo,""

z  

At the Water’s Edge

University  of  Nebraska-­‐Lincoln  PIs:  Carrick  Detweiler,  Jus5n  Bradley  

University  of  the  Pacific  PIs:  Elizabeth  Basha,  Mary  Kay  Camarillo,    William  Stringfellow  

Goals and Objectives

MotivationWetlands   are   cri5cal   to   the  water   cycle,   yet   they   are   a   difficult   environment   to   safely   and  effec5vely   monitor.   Robot   systems   have   the   poten5al   to   transform   our   understanding   of  complex  wetlands  systems  by  not  only  allowing  faster  and  higher  density  sensing,  but  also  by  enabling   new   types   of   measurements   and   sample   collec5ons   that   cannot   currently   be  performed   without   significantly   disrup5ng   these   sensi5ve   systems.   This   project   proposes  expanding   current   unmanned   aerial   vehicle   (UAV)   systems,   developing   novel   water  monitoring  systems,  and  designing  algorithms  in  order  to  enable:  (1)  accurate  measurement  of  the  dynamic  wetlands  channels,  including  topography  and  flow,  without  prior  knowledge,  (2)   adap5ve   and   autonomous   installa5on   of   sta5c   and   limited-­‐mobility   sensors,   and   (3)  op5miza5on   of   the   overall   robot   and   sensor   system   to   improve   informa5on   gain   while  constrained  by  limited  energy  and  communica5ons.      

National Robotics InitiativeNational Institute of Food and AgricultureGrant #2017-67021-25924

•  Design  and  implement  UAV-­‐based  systems  that  measure  wetlands  channels  including  channel  depth,  topography,  bathymetry,  and  water  chemistry.  Systems  will  focus  on  three  challenges:  sensor  fusion  for  improved  topography,  land  and  water  differen5a5on,  and  bathymetric  models  of  iden5fied  water  regions.    

•  Develop  algorithms  and  approaches  to  ensure  sensing  repeatability  independent  of  environmental  condi5ons.  

•  Design  and  implement  algorithms  to  verify  sensor  node  installa5on  via  UAV  onboard  sensors  as  UAV  installs  sensor  node.    

•  Develop  co-­‐op5miza5on  planning  schemes  for  single-­‐vehicle  mul5-­‐flight  missions.    •  Verify  the  systems  and  algorithms  with  our  environmental  engineers,  incrementally  incorpora5ng  the  technical  advances  and  assessing  the  capabili5es  of  the  systems  through  field  studies  conducted  in  wetlands  in  Nebraska  and  California.    

•  Educate  students,  scien5sts,  and  the  public  on  the  use,  challenges,  and  need  for  robo5cs  in  wetlands  systems  through  courses,  workshops,  and  presenta5ons.    

Integration with Static Sensors

San  Luis  Na5onal  Wildlife  Refuge  and  the  City  of  Stockton  Wetlands  .  

Exis5ng  pla[orm  capabili5es.  (top)  Close  flight  to  crops  for  physical  assessment.  (bo\om)  

Water  sampling  and  sensing  system.  

Carrick DetweilerComputer Science and Engineering - University of Nebraska Lincoln

[email protected]

Next Steps

Future Work

Co-­‐Op5miza5on  of  Missions  Mul5-­‐Sensor  Surface  Classifica5on  

Sensor Installation Development of Communication, Power, and Other Metrics

Installation and Optimization of Robotic Sensing Systems!

Nebraska Intelligent MoBile

Unmanned Systems

Pla[orm  and  System  Design  

Verification withField Deployments

Multi-Flight Optimization