Questions?  Contact:  Judi  Jones  asap@umich.edu  

 

Infinite  Dimensional  Optimization  for  Safety  Critical  Human-­‐in-­‐the-­‐Loop  Systems  

ABSTRACT:  A  predominant  portion  of  healthcare  spending  is  devoted  to  the  medical  care  of  unintentional  injuries,   such   as   those   arising   from   car   accidents   or   falls.   By   incorporating   automation   to   predict   the  likelihood   of   injury   and   to   design   and   verify   personalized   treatment,   the   burden   on   healthcare  professionals,   and   thus   the   overall   cost  of   treatment,   can  be   greatly   reduced.   This   talk  describes   several  new  techniques  each  relying  upon  a  theoretical  framework  grounded  in  infinite  dimensional  optimization  to  improve  automation  in  human-­‐in-­‐the-­‐loop  systems.  

The   first   technique   is  a  provably  convergent  switched  system  optimal  control  algorithm  to  automatically  identify  an  individual-­‐specific  dynamic  model  of   locomotion.  The  second  technique  is  a  semi-­‐autonomous  architecture   that   constructs   a   real-­‐time  driver-­‐specific  model,   which   informs   a   controller   that   is   able   to  safely   correct   dangerous   driver   input   to   prevent   vehicular   accidents.   The   final   technique   is   a   scalable  convex  programming   approach   for   simultaneous   reachable   set   computation   and   personalized   controller  synthesis  for  safety  critical  applications.    BIO:  Ram  Vasudevan  is  an  assistant  professor  in  Mechanical  Engineering  at  the  University  of  Michigan  and  the  University  of  Michigan's  Transportation  Research  Institute.  He  received  a  BS  in  Electrical  Engineering  and   Computer   Sciences   and   an   Honors   Degree   in   Physics   in   May   2006,   an   MS   degree   in   Electrical  Engineering  in  May  2009,  and  a  PhD  in  Electrical  Engineering  in  December  2012  all  from  the  University  of  California,   Berkeley   before   completing   a   postdoc   in   the   Computer   Science   and   Artificial   Intelligence  Laboratory  at  the  Massachusetts  Institute  of  Technology.  His  research  interests  include  dynamical  systems,  optimization,  and  robotics  especially  with  applications  involving  human  interaction.  

 

Ram  Vasudevan  Assistant  Professor  

University  of  Michigan  Department  of  Mechanical  Engineering  

 

Friday,  April  3,  2015    

3:30  –  4:30  pm    •    1500  EECS  

Sponsored  by:  Bosch,  Eaton,  Ford,  GM,  The  MathWorks,  and  Toyota