How to Build a Better RoboCop

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Advances in neuroprosthe1cs for Detroit law enforcement personnel: Building a be;er RoboCop today T. Verstynen & B. Voytek, Guerilla Science Society Recording: 10,000 Tungsten recording electrodes distributed in all primary sensory and motor areas (3000 electrodes in each primary motor cortex). S1mula1on: Reverse polarity 5mV sFmulaFon on each electrode. Recording: 32 channel electocorFcography (ECoG) grid placed on the corFcal surface of each hemisphere (64 channels total) S1mula1on: OptogeneFc interface with combined channelrhodopsin (excitaFon) and halorhodopsin (inhibiFon) using lenFvirus and adenoassociated vectors. PopulaFon Vector Decoding OpFmal Linear EsFmaFon + Kalman Filters Hard Disk Space: 8 Seagate 10 Mb drives (stored in exoskeleton frame) Random Access Memory: stored 16Mb on VDisk Hard Disk Space: RAID 6 array of 8 solidstate drives with 256Gb Flash storage each (enclosed in exoskeleton). Secondary “cloud server” backup (100Tb) when networked. Random Access Memory: 96Gb Intel 80286 Processor (25MHz) Dual 6Core Xeon (Intel) Processors 3.06Ghz Microsoa Windows 2.0x Mac OSX (Mountain Lion) [Note: TransiFoning to Ubuntu 13.04 in Summer 2013 for compaFbility issues] 640x480 16bit transparent microbinocular focus system (256 Colors, mostly green) Google Glass (960x540, integrated lenses) DoD satellite networked navigaFon (in collaboraFon with the Strategic Defense IniFaFve) Google Maps + GPS Satellite linkup and modem (2,400 bits/s) 802.11n wireless networking, 4GLTE Broadband (not available on AT&T) 1987 2012 Neural Interface Decoding System Memory CPU OperaFng System Display Background Faced with unprecedented budget cuts and dwindling recruits, 25 years ago the city of Detroit decided to apply discoveries from the emerging field of brain computer interfacing (BCI) to salvage high performance police officers who were disabled from severe injuries. As with all technology, the system designed by Omni Consumer Products (OCP) in 1987 needs major upgrades to incorporate newer technological advancements. Here we highlight offthe shelf advancements to the so called “Robocop” framework for the 21 st Century. First Case Study Background: PaFent AM was a 10 year veteran of the Detroit Police Department (DPD). AM sustained mulFple injuries from bullet trauma in the line of duty, was listed in criFcal condiFon, and placed on lifesupport. Due to lack of family relaFons, AM was placed under the care of his contractual legal guardian OCP (the external contractor for all DPD services). BCI Device: The OCP Cyborg Program started project RoboCop to fit AM with a mulFsystem, inputoutput BCI system using the most technologically advanced architecture at the Fme. This included interfaces for controlling four prostheFc limbs, prostheFc torso, acousFc implants for enhanced hearing and twoway communicaFon, as well as a removable 16bit, monochromaFc augmented reality visual display. Results: Aaer the surgery, AM returned to the force with a superior arrest/capture/kill record compared to nonBCI counterparts (excluding occasional incidents of retrograde memory interference impairing opFmal performance). AM Before AM AEer Conclusions NavigaFon Networking Aaer the catastrophic failure of the RoboCop2 program (a.k.a. PaFent Cain), OCP has sought to revise the previous human augmentaFon program based on humanoid body frame. The smaller frame requires lighter & more powerful neuroprostheFc systems. Modern, offtheshelf components easily make this an achievable goal. Acknowledgements This “study” was not funded by OCP or any of it’s subsidiaries (e.g., Halliburton, KBR, SPECTRE). This work was funded by a generous donaFon of $30 from T. Verstynen’s pocket for prinFng. The authors would like to thank Stephen Foldes for his helpful comments. Results AMPre AMpost 0 5 10 15 20 25 AMPre AMpost Kills

Transcript of How to Build a Better RoboCop

Page 1: How to Build a Better RoboCop

Advances  in  neuroprosthe1cs  for  Detroit  law  enforcement  personnel:  Building  a  be;er  RoboCop  today  

T.  Verstynen  &  B.  Voytek,  Guerilla  Science  Society  

Recording:  10,000  Tungsten  recording  electrodes  distributed  in  all  primary  sensory  and  motor  areas  (3000  

electrodes  in  each  primary  motor  cortex).    

S1mula1on:  Reverse  polarity  5mV  sFmulaFon  on  each  electrode.  

Recording:  32  channel  electocorFcography  (ECoG)  grid  placed  on  the  corFcal  surface  of  each  hemisphere  (64  

channels  total)    

S1mula1on:  OptogeneFc  interface  with  combined  channelrhodopsin  (excitaFon)  and  halorhodopsin  

(inhibiFon)  using  lenFvirus  and  adeno-­‐associated  vectors.      

PopulaFon  Vector  Decoding   OpFmal  Linear  EsFmaFon  +  Kalman  Filters  

Hard  Disk  Space:  8  Seagate  10  Mb  drives  (stored  in  exoskeleton  frame)  

 Random  Access  Memory:  stored  16Mb  on  VDisk  

Hard  Disk  Space:  RAID  6  array  of  8  solid-­‐state  drives  with  256Gb  Flash  storage  each  (enclosed  in  exoskeleton).  

Secondary  “cloud  server”  backup  (100Tb)  when  networked.    

Random  Access  Memory:  96Gb  

Intel  80286  Processor  (25MHz)   Dual  6-­‐Core  Xeon  (Intel)  Processors  3.06Ghz  

Microsoa  Windows  2.0x  Mac  OSX  (Mountain  Lion)  

[Note:  TransiFoning  to  Ubuntu  13.04  in  Summer  2013  for  compaFbility  issues]  

640x480  16-­‐bit  transparent  micro-­‐binocular  focus  system  (256  Colors,  mostly  green)   Google  Glass  (960x540,  integrated  lenses)  

DoD  satellite  networked  navigaFon    (in  collaboraFon  with  the  Strategic  Defense  IniFaFve)     Google  Maps  +  GPS  

Satellite  link-­‐up  and  modem  (2,400  bits/s)   802.11n  wireless  networking,  4G-­‐LTE  Broadband  (not  available  on  AT&T)  

1987   2012  

Neural  Interface  

Decoding  

System  Memory  

CPU  

OperaFng    System  

Display  

Background  Faced  with  unprecedented  budget  cuts  and  dwindling  recruits,  25  years  ago  the  city  of  Detroit  decided  to  apply  discoveries  from  the  emerging  field  of  brain  computer  interfacing  (BCI)  to  salvage  high  performance  police  officers  who  were  disabled  from  severe  injuries.    As  with  all  technology,  the  system  designed  by  Omni  Consumer  Products  (OCP)  in  1987  needs  major  upgrades  to  incorporate  newer  technological  advancements.    Here  we  highlight  off-­‐the-­‐shelf  advancements  to  the  so  called  “Robocop”  framework  for  the  21st  Century.  

First  Case  Study  Background:  PaFent  AM  was  a  10  year  veteran  of  the  Detroit  Police  Department  (DPD).    AM  sustained  mulFple  injuries  from  bullet  trauma  in  the  line  of  duty,  was  listed  in  criFcal  condiFon,  and  placed  on  life-­‐support.  Due  to  lack  of  family  relaFons,  AM  was  placed  under  the  care  of  his  contractual  legal  guardian  OCP  (the  external  contractor  for  all  DPD  services).    BCI  Device:  The  OCP  Cyborg  Program  started  project  RoboCop  to  fit  AM  with  a  mulF-­‐system,  input-­‐output  BCI  system  using  the  most  technologically  advanced  architecture  at  the  Fme.    This  included  interfaces  for  controlling  four  prostheFc  limbs,  prostheFc  torso,  acousFc  implants  for  enhanced  hearing  and  two-­‐way  communicaFon,  as  well  as  a  removable  16-­‐bit,  monochromaFc  augmented  reality  visual  display.      Results:  Aaer  the  surgery,  AM  returned  to  the  force  with  a  superior  arrest/capture/kill  record  compared  to  non-­‐BCI  counterparts  (excluding  occasional  incidents  of  retrograde  memory  interference  impairing  opFmal  performance).    

AM  Before   AM  AEer  

Conclusions  

NavigaFon  

Networking  

•   Aaer  the  catastrophic  failure  of  the  RoboCop2  program  (a.k.a.  PaFent  Cain),  OCP  has  sought  to  revise  the  previous  human  augmentaFon  program  based  on  humanoid  body  frame.  •   The  smaller  frame  requires  lighter  &  more  powerful  neuroprostheFc  systems.    Modern,  off-­‐the-­‐shelf  components  easily  make  this  an  achievable  goal.    

Acknowledgements  This  “study”  was  not  funded  by  OCP  or  any  of  it’s  subsidiaries  (e.g.,  Halliburton,  KBR,  SPECTRE).    This  work  was  funded  by  a  generous  donaFon  of  $30  from  T.  Verstynen’s  pocket  for  prinFng.  The  authors  would  like  to  thank  Stephen  Foldes  for  his  helpful  comments.  

Results  

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AM-­‐Pre  AM-­‐post  

Kills