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1 (ns org.aurellem.worm-learn
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2 "General worm creation framework."
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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 (:import (com.jme3.math ColorRGBA Vector3f))
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7 (:import java.io.File)
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8 (:import com.jme3.audio.AudioNode)
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9 (:import com.aurellem.capture.RatchetTimer)
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10 (:import (com.aurellem.capture Capture IsoTimer))
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11 (:import (com.jme3.math Vector3f ColorRGBA)))
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12
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13
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14 (dorun (cortex.import/mega-import-jme3))
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15 (rlm.rlm-commands/help)
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16
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17 (load-bullet)
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18
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19 (def hand "Models/test-creature/hand.blend")
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20
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21 (defn worm-model []
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22 (load-blender-model "Models/worm/worm.blend"))
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23
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24 (def output-base (File. "/home/r/proj/cortex/render/worm-learn/curl"))
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25
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26
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27 (defn motor-control-program
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28 "Create a function which will execute the motor script"
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29 [muscle-positions
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30 script]
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31 (let [current-frame (atom -1)
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32 keyed-script (group-by first script)
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33 current-forces (atom {}) ]
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34 (fn [effectors]
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35 (let [indexed-effectors (vec effectors)]
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36 (dorun
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37 (for [[_ part force] (keyed-script (swap! current-frame inc))]
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38 (swap! current-forces (fn [m] (assoc m part force)))))
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39 (doall (map (fn [effector power]
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40 (effector (int power)))
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41 effectors
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42 (map #(@current-forces % 0) muscle-positions)))))))
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43
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44 (defn worm-direct-control
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45 "Create keybindings and a muscle control program that will enable
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46 the user to control the worm via the keyboard."
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47 [muscle-labels activation-strength]
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48 (let [strengths (mapv (fn [_] (atom 0)) muscle-labels)
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49 activator
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50 (fn [n]
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51 (fn [world pressed?]
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52 (let [strength (if pressed? activation-strength 0)]
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53 (swap! (nth strengths n) (constantly strength)))))
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54 activators
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55 (map activator (range (count muscle-labels)))
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56 worm-keys
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57 ["key-f" "key-r"
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58 "key-g" "key-t"
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59 "key-y" "key-h"
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60 "key-j" "key-u"
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61 "key-i" "key-k"
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62 "key-o" "key-l"]]
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63 {:motor-control
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64 (fn [effectors]
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65 (doall
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66 (map (fn [strength effector]
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67 (effector (deref strength)))
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68 strengths effectors)))
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69 :keybindings
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70 ;; assume muscles are listed in pairs and map them to keys.
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71 (zipmap worm-keys activators)}))
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72
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73 ;; These are scripts that direct the worm to move in two radically
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74 ;; different patterns -- a sinusoidal wiggling motion, and a curling
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75 ;; motions that causes the worm to form a circle.
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76
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77 (def curl-script
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78 [[370 :d-up 40]
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79 [600 :d-up 0]])
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80
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81 (def period 18)
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82
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83 (def worm-muscle-labels
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84 [:base-up :base-down
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85 :a-down :a-up
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86 :b-up :b-down
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87 :c-down :c-up
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88 :d-up :d-down])
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89
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90 (defn gen-wiggle [[flexor extensor :as muscle-pair] time-base]
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91 (let [period period
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92 power 45]
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93 [[time-base flexor power]
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94 [(+ time-base period) flexor 0]
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95 [(+ time-base period 1) extensor power]
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96 [(+ time-base (+ (* 2 period) 2)) extensor 0]]))
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97
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98 (def wiggle-script
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99 (mapcat gen-wiggle (repeat 40 [:a-down :a-up])
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100 (range 100 10000 (+ 3 (* period 2)))))
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101
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102
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103 ;; Normally, we'd use unsupervised/supervised machine learning to pick
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104 ;; out the defining features of the different actions available to the
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105 ;; worm. For this project, I am going to explicitely define functions
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106 ;; that recognize curling and wiggling respectively. These functions
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107 ;; are defined using all the information available from an embodied
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108 ;; simulation of the action. Note how much easier they are to define
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109 ;; than if I only had vision to work with. Things like scale/position
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110 ;; invariance are complete non-issues here. This is the advantage of
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111 ;; body-centered action recognition and what I hope to show with this
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112 ;; thesis.
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113
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114 (defn last-nth
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115 "Create function that will, when called each frame with the senses
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116 of a creature, will record those results and return the last n
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117 results."
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118 [n]
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119 (let [last-n '()]
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120 (fn [frame-num {:keys [touch proprioception muscles hearing]}]
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121 (take n (cons [frame-num :stuff] last-n)))))
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122
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123
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124 (defn wiggling?
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125 "Generate a function which, when called each frame with the sensory
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126 inputs of a worm, will determine whether the worm is wiggling."
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127 [{:keys [touch proprioception muscles hearing]}]
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128 (map (fn [f] (f)) proprioception
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129
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130
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131 ))
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132
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133 (defn curling?
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134 "Is the worm curled up?"
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135 []
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136 )
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137
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138 (defn resting?
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139 "Is the worm on the ground in a neutral position?"
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140 [])
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141
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142 (def standard-world-view
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143 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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144 (Quaternion. 0.11118768, 0.87678415, 0.24434438, -0.3989771)])
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145
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146 (def worm-side-view
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147 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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148 (Quaternion. -0.11555642, 0.88188726, -0.2854942, -0.3569518)])
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149
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150 (def degenerate-worm-view
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151 [(Vector3f. -0.0708936, -8.570261, 2.6487997)
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152 (Quaternion. -2.318909E-4, 0.9985348, 0.053941682, 0.004291452)])
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153
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154 (defn worm-world-defaults []
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155 (let [direct-control (worm-direct-control worm-muscle-labels 40)]
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156 {:view worm-side-view
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157 :motor-control (:motor-control direct-control)
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158 :keybindings (:keybindings direct-control)
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159 :record nil}))
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160
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161 (defn dir! [file]
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162 (if (not (.exists file))
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163 (.mkdir file))
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164 file)
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165
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166 (defn worm-world
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167 [& {:keys [record motor-control keybindings view] :as settings}]
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168 (let [{:keys [record motor-control keybindings view]}
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169 (merge (worm-world-defaults) settings)
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170 worm (doto (worm-model) (body!))
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171 touch (touch! worm)
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172 prop (proprioception! worm)
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173 muscles (movement! worm)
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174
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175 touch-display (view-touch)
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176 prop-display (view-proprioception)
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177 muscle-display (view-movement)
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178
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179 floor (box 10 1 10 :position (Vector3f. 0 -10 0)
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180 :color ColorRGBA/Gray :mass 0)]
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181
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182 (world
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183 (nodify [worm floor])
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184 (merge standard-debug-controls keybindings)
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185 (fn [world]
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186 (position-camera world view)
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187 (let [timer (IsoTimer. 60)]
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188 (.setTimer world timer)
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189 (display-dilated-time world timer))
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190 (if record
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191 (Capture/captureVideo
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192 world
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193 (dir! (File. record "main-view"))))
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194 (speed-up world)
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195 (light-up-everything world))
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196 (fn [world tpf]
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197 (let [strong! (motor-control muscles)]
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198 (println strong!)
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199 (muscle-display
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200 strong!
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201 (if record (dir! (File. record "muscle")))))
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202 (prop-display
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203 (prop)
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204 (if record (dir! (File. record "proprio"))))
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205 (touch-display
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206 (map #(% (.getRootNode world)) touch)
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207 (if record
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208 (File. record "touch")))))))
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209
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210 |