view org/worm_learn.clj @ 450:432f2c4646cb

sleepig.
author Robert McIntyre <rlm@mit.edu>
date Wed, 26 Mar 2014 03:18:57 -0400
parents 09b7c8dd4365
children 0a4362d1f138
line wrap: on
line source
1 (ns org.aurellem.worm-learn
2 "General worm creation framework."
3 {:author "Robert McIntyre"}
4 (:use (cortex world util import body sense
5 hearing touch vision proprioception movement
6 test))
7 (:import (com.jme3.math ColorRGBA Vector3f))
8 (:import java.io.File)
9 (:import com.jme3.audio.AudioNode)
10 (:import com.aurellem.capture.RatchetTimer)
11 (:import (com.aurellem.capture Capture IsoTimer))
12 (:import (com.jme3.math Vector3f ColorRGBA)))
14 (import org.apache.commons.math3.transform.TransformType)
15 (import org.apache.commons.math3.transform.FastFourierTransformer)
16 (import org.apache.commons.math3.transform.DftNormalization)
18 (use 'clojure.pprint)
19 (use 'clojure.set)
20 (dorun (cortex.import/mega-import-jme3))
21 (rlm.rlm-commands/help)
23 (load-bullet)
25 (def hand "Models/test-creature/hand.blend")
27 (defn worm-model []
28 (load-blender-model "Models/worm/worm.blend"))
30 (defn worm []
31 (let [model (load-blender-model "Models/worm/worm.blend")]
32 {:body (doto model (body!))
33 :touch (touch! model)
34 :proprioception (proprioception! model)
35 :muscles (movement! model)}))
37 (def output-base (File. "/home/r/proj/cortex/render/worm-learn/curl"))
40 (defn motor-control-program
41 "Create a function which will execute the motor script"
42 [muscle-labels
43 script]
44 (let [current-frame (atom -1)
45 keyed-script (group-by first script)
46 current-forces (atom {}) ]
47 (fn [effectors]
48 (let [indexed-effectors (vec effectors)]
49 (dorun
50 (for [[_ part force] (keyed-script (swap! current-frame inc))]
51 (swap! current-forces (fn [m] (assoc m part force)))))
52 (doall (map (fn [effector power]
53 (effector (int power)))
54 effectors
55 (map #(@current-forces % 0) muscle-labels)))))))
57 (defn worm-direct-control
58 "Create keybindings and a muscle control program that will enable
59 the user to control the worm via the keyboard."
60 [muscle-labels activation-strength]
61 (let [strengths (mapv (fn [_] (atom 0)) muscle-labels)
62 activator
63 (fn [n]
64 (fn [world pressed?]
65 (let [strength (if pressed? activation-strength 0)]
66 (swap! (nth strengths n) (constantly strength)))))
67 activators
68 (map activator (range (count muscle-labels)))
69 worm-keys
70 ["key-f" "key-r"
71 "key-g" "key-t"
72 "key-h" "key-y"
73 "key-j" "key-u"
74 "key-k" "key-i"
75 "key-l" "key-o"]]
76 {:motor-control
77 (fn [effectors]
78 (doall
79 (map (fn [strength effector]
80 (effector (deref strength)))
81 strengths effectors)))
82 :keybindings
83 ;; assume muscles are listed in pairs and map them to keys.
84 (zipmap worm-keys activators)}))
86 ;; These are scripts that direct the worm to move in two radically
87 ;; different patterns -- a sinusoidal wiggling motion, and a curling
88 ;; motions that causes the worm to form a circle.
90 (def curl-script
91 [[150 :d-flex 40]
92 [250 :d-flex 0]])
94 (def period 18)
96 (def worm-muscle-labels
97 [:base-ex :base-flex
98 :a-ex :a-flex
99 :b-ex :b-flex
100 :c-ex :c-flex
101 :d-ex :d-flex])
103 (defn gen-wiggle [[flexor extensor :as muscle-pair] time-base]
104 (let [period period
105 power 45]
106 [[time-base flexor power]
107 [(+ time-base period) flexor 0]
108 [(+ time-base period 1) extensor power]
109 [(+ time-base (+ (* 2 period) 2)) extensor 0]]))
111 (def wiggle-script
112 (mapcat gen-wiggle (repeat 4000 [:a-ex :a-flex])
113 (range 100 1000000 (+ 3 (* period 2)))))
116 (defn shift-script [shift script]
117 (map (fn [[time label power]] [(+ time shift) label power])
118 script))
120 (def do-all-the-things
121 (concat
122 curl-script
123 [[300 :d-ex 40]
124 [320 :d-ex 0]]
125 (shift-script 280 (take 16 wiggle-script))))
127 ;; Normally, we'd use unsupervised/supervised machine learning to pick
128 ;; out the defining features of the different actions available to the
129 ;; worm. For this project, I am going to explicitely define functions
130 ;; that recognize curling and wiggling respectively. These functions
131 ;; are defined using all the information available from an embodied
132 ;; simulation of the action. Note how much easier they are to define
133 ;; than if I only had vision to work with. Things like scale/position
134 ;; invariance are complete non-issues here. This is the advantage of
135 ;; body-centered action recognition and what I hope to show with this
136 ;; thesis.
139 ;; curled? relies on proprioception, resting? relies on touch,
140 ;; wiggling? relies on a fourier analysis of muscle contraction, and
141 ;; grand-circle? relies on touch and reuses curled? as a gaurd.
143 (defn curled?
144 "Is the worm curled up?"
145 [experiences]
146 (every?
147 (fn [[_ _ bend]]
148 (> (Math/sin bend) 0.64))
149 (:proprioception (peek experiences))))
151 (defn rect-region [[x0 y0] [x1 y1]]
152 (vec
153 (for [x (range x0 (inc x1))
154 y (range y0 (inc y1))]
155 [x y])))
157 (def worm-segment-bottom (rect-region [8 15] [14 22]))
159 (defn contact
160 "Determine how much contact a particular worm segment has with
161 other objects. Returns a value between 0 and 1, where 1 is full
162 contact and 0 is no contact."
163 [touch-region [coords contact :as touch]]
164 (-> (zipmap coords contact)
165 (select-keys touch-region)
166 (vals)
167 (#(map first %))
168 (average)
169 (* 10)
170 (- 1)
171 (Math/abs)))
173 (defn resting?
174 "Is the worm resting on the ground?"
175 [experiences]
176 (every?
177 (fn [touch-data]
178 (< 0.9 (contact worm-segment-bottom touch-data)))
179 (:touch (peek experiences))))
181 (defn vector:last-n [v n]
182 (let [c (count v)]
183 (if (< c n) v
184 (subvec v (- c n) c))))
186 (defn fft [nums]
187 (map
188 #(.getReal %)
189 (.transform
190 (FastFourierTransformer. DftNormalization/STANDARD)
191 (double-array nums) TransformType/FORWARD)))
193 (def indexed (partial map-indexed vector))
195 (defn max-indexed [s]
196 (first (sort-by (comp - second) (indexed s))))
198 (defn wiggling?
199 "Is the worm wiggling?"
200 [experiences]
201 (let [analysis-interval 0x40]
202 (when (> (count experiences) analysis-interval)
203 (let [a-flex 3
204 a-ex 2
205 muscle-activity
206 (map :muscle (vector:last-n experiences analysis-interval))
207 base-activity
208 (map #(- (% a-flex) (% a-ex)) muscle-activity)]
209 (= 2
210 (first
211 (max-indexed
212 (map #(Math/abs %)
213 (take 20 (fft base-activity))))))))))
215 (def worm-segment-bottom-tip (rect-region [15 15] [22 22]))
217 (def worm-segment-top-tip (rect-region [0 15] [7 22]))
219 (defn grand-circle?
220 "Does the worm form a majestic circle (one end touching the other)?"
221 [experiences]
222 (and (curled? experiences)
223 (let [worm-touch (:touch (peek experiences))
224 tail-touch (worm-touch 0)
225 head-touch (worm-touch 4)]
226 (and (< 0.55 (contact worm-segment-bottom-tip tail-touch))
227 (< 0.55 (contact worm-segment-top-tip head-touch))))))
230 (declare phi-space phi-scan debug-experience)
234 (def standard-world-view
235 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
236 (Quaternion. 0.11118768, 0.87678415, 0.24434438, -0.3989771)])
238 (def worm-side-view
239 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
240 (Quaternion. -0.11555642, 0.88188726, -0.2854942, -0.3569518)])
242 (def degenerate-worm-view
243 [(Vector3f. -0.0708936, -8.570261, 2.6487997)
244 (Quaternion. -2.318909E-4, 0.9985348, 0.053941682, 0.004291452)])
246 (defn worm-world-defaults []
247 (let [direct-control (worm-direct-control worm-muscle-labels 40)]
248 (merge direct-control
249 {:view worm-side-view
250 :record nil
251 :experiences (atom [])
252 :experience-watch debug-experience
253 :worm-model worm-model
254 :end-frame nil})))
256 (defn dir! [file]
257 (if-not (.exists file)
258 (.mkdir file))
259 file)
261 (defn record-experience! [experiences data]
262 (swap! experiences #(conj % data)))
264 (defn enable-shadows [world]
265 (let [bsr (doto
266 (BasicShadowRenderer. (asset-manager) 512)
267 (.setDirection (.normalizeLocal (Vector3f. 1 -1 -1))))]
268 (.addProcessor (.getViewPort world) bsr)))
270 (defn enable-good-shadows [world]
271 (let [pssm
272 (doto (PssmShadowRenderer. (asset-manager) 1024 3)
273 (.setDirection (.normalizeLocal (Vector3f. -1 -3 -1)))
274 (.setLambda (float 0.55))
275 (.setShadowIntensity (float 0.6))
276 (.setCompareMode PssmShadowRenderer$CompareMode/Software)
277 (.setFilterMode PssmShadowRenderer$FilterMode/Bilinear))]
278 (.addProcessor (.getViewPort world) pssm)))
280 (defn debug-experience
281 [experiences text]
282 (cond
283 (grand-circle? experiences) (.setText text "Grand Circle")
284 (curled? experiences) (.setText text "Curled")
285 (wiggling? experiences) (.setText text "Wiggling")
286 (resting? experiences) (.setText text "Resting")))
289 (defn worm-world
290 [& {:keys [record motor-control keybindings view experiences
291 worm-model end-frame experience-watch] :as settings}]
292 (let [{:keys [record motor-control keybindings view experiences
293 worm-model end-frame experience-watch]}
294 (merge (worm-world-defaults) settings)
296 touch-display (view-touch)
297 prop-display (view-proprioception)
298 muscle-display (view-movement)
299 {:keys [proprioception touch muscles body]} (worm)
301 floor
302 (box 5 1 5 :position (Vector3f. 0 -10 0)
303 :mass 0
304 :texture "Textures/aurellem.png"
305 :material "Common/MatDefs/Misc/Unshaded.j3md")
306 timer (IsoTimer. 60)
308 font (.loadFont (asset-manager) "Interface/Fonts/Console.fnt")
309 worm-action (doto (BitmapText. font false)
310 (.setSize 35)
311 (.setColor (ColorRGBA/Black)))]
313 (world
314 (nodify [body floor])
315 (merge standard-debug-controls keybindings)
316 (fn [world]
317 (.setLocalTranslation
318 worm-action 20 470 0)
319 (.attachChild (.getGuiNode world) worm-action)
321 (enable-good-shadows world)
322 (.setShadowMode body RenderQueue$ShadowMode/CastAndReceive)
323 (.setShadowMode floor RenderQueue$ShadowMode/Receive)
325 (.setBackgroundColor (.getViewPort world) (ColorRGBA/White))
326 (.setDisplayStatView world false)
327 (.setDisplayFps world false)
328 (position-camera world view)
329 (.setTimer world timer)
330 ;;(display-dilated-time world timer)
331 (when record
332 (dir! record)
333 (Capture/captureVideo
334 world
335 (dir! (File. record "main-view"))))
336 (speed-up world)
337 ;;(light-up-everything world)
338 )
339 (fn [world tpf]
340 (if (and end-frame (> (.getTime timer) end-frame))
341 (.stop world))
342 (let [muscle-data (vec (motor-control muscles))
343 proprioception-data (proprioception)
344 touch-data (mapv #(% (.getRootNode world)) touch)]
345 (when experiences
346 (record-experience!
347 experiences {:touch touch-data
348 :proprioception proprioception-data
349 :muscle muscle-data}))
350 (when experience-watch
351 (experience-watch @experiences worm-action))
352 (muscle-display
353 muscle-data
354 (when record (dir! (File. record "muscle"))))
355 (prop-display
356 proprioception-data
357 (when record (dir! (File. record "proprio"))))
358 (touch-display
359 touch-data
360 (when record (dir! (File. record "touch")))))))))
364 ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
365 ;;;;;;;; Phi-Space ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
366 ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
368 (defn generate-phi-space []
369 (let [experiences (atom [])]
370 (run-world
371 (apply-map
372 worm-world
373 (merge
374 (worm-world-defaults)
375 {:end-frame 700
376 :motor-control
377 (motor-control-program worm-muscle-labels do-all-the-things)
378 :experiences experiences})))
379 @experiences))
381 (defn bin [digits]
382 (fn [angles]
383 (->> angles
384 (flatten)
385 (map (juxt #(Math/sin %) #(Math/cos %)))
386 (flatten)
387 (mapv #(Math/round (* % (Math/pow 10 (dec digits))))))))
389 ;; k-nearest neighbors with spatial binning. Only returns a result if
390 ;; the propriceptive data is within 10% of a previously recorded
391 ;; result in all dimensions.
392 (defn gen-phi-scan [phi-space]
393 (let [bin-keys (map bin [3 2 1])
394 bin-maps
395 (map (fn [bin-key]
396 (group-by
397 (comp bin-key :proprioception phi-space)
398 (range (count phi-space)))) bin-keys)
399 lookups (map (fn [bin-key bin-map]
400 (fn [proprio] (bin-map (bin-key proprio))))
401 bin-keys bin-maps)]
402 (fn lookup [proprio-data]
403 (set (some #(% proprio-data) lookups)))))
406 (defn longest-thread
407 "Find the longest thread from phi-index-sets. The index sets should
408 be ordered from most recent to least recent."
409 [phi-index-sets]
410 (loop [result '()
411 [thread-bases & remaining :as phi-index-sets] phi-index-sets]
412 (if (empty? phi-index-sets)
413 (vec result)
414 (let [threads
415 (for [thread-base thread-bases]
416 (loop [thread (list thread-base)
417 remaining remaining]
418 (let [next-index (dec (first thread))]
419 (cond (empty? remaining) thread
420 (contains? (first remaining) next-index)
421 (recur
422 (cons next-index thread) (rest remaining))
423 :else thread))))
424 longest-thread
425 (reduce (fn [thread-a thread-b]
426 (if (> (count thread-a) (count thread-b))
427 thread-a thread-b))
428 '(nil)
429 threads)]
430 (recur (concat longest-thread result)
431 (drop (count longest-thread) phi-index-sets))))))
434 (defn init []
435 (def phi-space (generate-phi-space))
436 (def phi-scan (gen-phi-scan phi-space))
437 )
439 ;; (defn infer-nils-dyl [s]
440 ;; (loop [closed ()
441 ;; open s
442 ;; anchor 0]
443 ;; (if-not (empty? open)
444 ;; (recur (conj closed
445 ;; (or (peek open)
446 ;; anchor))
447 ;; (pop open)
448 ;; (or (peek open) anchor))
449 ;; closed)))
451 ;; (defn infer-nils [s]
452 ;; (for [i (range (count s))]
453 ;; (or (get s i)
454 ;; (some (comp not nil?) (vector:last-n (- (count s) i)))
455 ;; 0)))
458 (defn infer-nils
459 "Replace nils with the next available non-nil element in the
460 sequence, or barring that, 0."
461 [s]
462 (loop [i (dec (count s))
463 v (transient s)]
464 (if (zero? i) (persistent! v)
465 (if-let [cur (v i)]
466 (if (get v (dec i) 0)
467 (recur (dec i) v)
468 (recur (dec i) (assoc! v (dec i) cur)))
469 (recur i (assoc! v i 0))))))
471 ;; tests
473 ;;(infer-nils [1 nil 1 1]) [1 1 1 1]
474 ;;(infer-nils [1 1 1 nil]) [1 1 1 0]
475 ;;(infer-nils [nil 2 1 1]) [2 2 1 1]
478 (defn debug-experience-phi []
479 (let [proprio (atom ())]
480 (fn
481 [experiences]
482 (let [phi-indices (phi-scan (:proprioception (peek experiences)))]
483 (swap! proprio (partial cons phi-indices))
484 (let [exp-thread (longest-thread (take 300 @proprio))
485 phi-loop (mapv phi-space (infer-nils exp-thread))]
486 (println-repl (vector:last-n exp-thread 22))
487 (cond
488 (grand-circle? phi-loop) (println "Grand Circle")
489 (curled? phi-loop) (println "Curled")
490 (wiggling? phi-loop) (println "Wiggling")
491 (resting? phi-loop) (println "Resting")
492 :else (println "Unknown")))))))
495 (defn init-interactive []
496 (def phi-space
497 (let [experiences (atom [])]
498 (run-world
499 (apply-map
500 worm-world
501 (merge
502 (worm-world-defaults)
503 {:experiences experiences})))
504 @experiences))
505 (def phi-scan (gen-phi-scan phi-space)))
508 (defn run-experiment-1 []
509 (.start (worm-world :experience-watch (debug-experience-phi))))