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1 (ns org.aurellem.self-organizing-touch
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2 "Using free play to automatically organize touch perception into regions."
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3 {:author "Robert McIntyre"}
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4 (:use (cortex world util import body sense
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5 hearing touch vision proprioception movement
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6 test))
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7 (:use [clojure set pprint])
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8 (:import (com.jme3.math ColorRGBA Vector3f))
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9 (:import java.io.File)
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10 (:import com.jme3.audio.AudioNode)
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11 (:import com.aurellem.capture.RatchetTimer)
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12 (:import (com.aurellem.capture Capture IsoTimer))
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13 (:import (com.jme3.math Vector3f ColorRGBA)))
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14
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15 (use 'org.aurellem.worm-learn)
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16 (dorun (cortex.import/mega-import-jme3))
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17
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18 ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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19 ;; A demonstration of self organiging touch maps through experience. ;
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20 ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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21
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22 (def single-worm-segment-view
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23 [(Vector3f. 2.0681207, -6.1406755, 1.6106138)
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24 (Quaternion. -0.15558705, 0.843615, -0.3428654, -0.38281822)])
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25
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26 (def worm-single-segment-muscle-labels
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27 [:lift-1 :lift-2 :roll-1 :roll-2])
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28
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29 (defn touch-kinesthetics []
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30 [[170 :lift-1 40]
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31 [190 :lift-1 20]
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32 [206 :lift-1 0]
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33
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34 [400 :lift-2 40]
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35 [410 :lift-2 0]
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36
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37 [570 :lift-2 40]
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38 [590 :lift-2 20]
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39 [606 :lift-2 0]
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40
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41 [800 :lift-1 30]
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42 [809 :lift-1 0]
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43
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44 [900 :roll-2 40]
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45 [905 :roll-2 20]
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46 [910 :roll-2 0]
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47
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48 [1000 :roll-2 40]
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49 [1005 :roll-2 20]
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50 [1010 :roll-2 0]
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51
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52 [1100 :roll-2 40]
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53 [1105 :roll-2 20]
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54 [1110 :roll-2 0]
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55 ])
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56
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57 (defn single-worm-segment []
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58 (load-blender-model "Models/worm/worm-single-segment.blend"))
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59
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60 (defn worm-segment-defaults []
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61 (let [direct-control (worm-direct-control worm-muscle-labels 40)]
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62 (merge (worm-world-defaults)
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63 {:worm-model single-worm-segment
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64 :view single-worm-segment-view
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65 :motor-control
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66 (motor-control-program
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67 worm-single-segment-muscle-labels
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68 (touch-kinesthetics))
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69 :end-frame 1200})))
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70
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71 (def full-contact [(float 0.0) (float 0.1)])
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72
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73 (defn pure-touch?
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74 "This is worm specific code to determine if a large region of touch
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75 sensors is either all on or all off."
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76 [[coords touch :as touch-data]]
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77 (= (set (map first touch)) (set full-contact)))
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78
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79 (defn remove-similar
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80 [coll]
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81 (loop [result () coll (sort-by (comp - count) coll)]
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82 (if (empty? coll) result
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83 (let [[x & xs] coll
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84 c (count x)]
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85 (if (some
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86 (fn [other-set]
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87 (let [oc (count other-set)]
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88 (< (- (count (union other-set x)) c) (* oc 0.1))))
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89 xs)
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90 (recur result xs)
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91 (recur (cons x result) xs))))))
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92
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93 (def all-touch-coordinates
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94 (concat
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95 (rect-region [0 15] [7 22])
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96 (rect-region [8 0] [14 29])
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97 (rect-region [15 15] [22 22])))
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98
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99 (defn view-touch-region [coords]
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100 (let [touched-region
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101 (reduce
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102 (fn [m k]
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103 (assoc m k [0.0 0.1]))
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104 (zipmap all-touch-coordinates (repeat [0.1 0.1])) coords)
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105 data
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106 [[(vec (keys touched-region)) (vec (vals touched-region))]]
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107 touch-display (view-touch)]
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108 (repeatedly 5 #(touch-display data)) data))
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109
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110 (defn learn-touch-regions []
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111 (let [experiences (atom [])
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112 world (apply-map
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113 worm-world
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114 (assoc (worm-segment-defaults)
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115 :experiences experiences))]
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116 (run-world world)
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117 (->>
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118 @experiences
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119 (drop 175)
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120 ;; access the single segment's touch data
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121 (map (comp first :touch))
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122 ;; only deal with "pure" touch data to determine surfaces
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123 (filter pure-touch?)
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124 ;; associate coordinates with touch values
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125 (map (partial apply zipmap))
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126 ;; select those regions where contact is being made
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127 (map (partial group-by second))
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128 (map #(get % full-contact))
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129 (map (partial map first))
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130 ;; remove redundant/subset regions
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131 (map set)
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132 remove-similar)))
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133
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134 (defn learn-and-view-touch-regions []
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135 (map view-touch-region
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136 (learn-touch-regions)))
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137
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138
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