rlm@394: (ns org.aurellem.worm-learn rlm@394: "General worm creation framework." rlm@394: {:author "Robert McIntyre"} rlm@394: (:use (cortex world util import body sense rlm@394: hearing touch vision proprioception movement)) rlm@394: (:import (com.jme3.math ColorRGBA Vector3f)) rlm@394: (:import java.io.File) rlm@394: (:import com.jme3.audio.AudioNode) rlm@397: (:import com.aurellem.capture.RatchetTimer) rlm@397: (:import (com.aurellem.capture Capture IsoTimer)) rlm@397: (:import (com.jme3.math Vector3f ColorRGBA))) rlm@397: rlm@394: rlm@394: (dorun (cortex.import/mega-import-jme3)) rlm@394: (rlm.rlm-commands/help) rlm@394: rlm@400: (load-bullet) rlm@394: rlm@399: (def hand "Models/test-creature/hand.blend") rlm@394: rlm@399: (defn worm-model [] rlm@399: (load-blender-model "Models/worm/worm.blend")) rlm@394: rlm@400: (def output-base (File. "/home/r/proj/cortex/render/worm-learn/curl")) rlm@394: rlm@397: rlm@399: (defn motor-control-program rlm@399: "Create a function which will execute the motor script" rlm@399: [muscle-positions rlm@399: script] rlm@399: (let [current-frame (atom -1) rlm@399: keyed-script (group-by first script) rlm@399: current-forces (atom {}) ] rlm@399: (fn [effectors] rlm@399: (let [indexed-effectors (vec effectors)] rlm@399: (dorun rlm@399: (for [[_ part force] (keyed-script (swap! current-frame inc))] rlm@399: (swap! current-forces (fn [m] (assoc m part force))))) rlm@399: (doall (map (fn [effector power] rlm@399: (effector (int power))) rlm@399: effectors rlm@399: (map #(@current-forces % 0) muscle-positions))))))) rlm@397: rlm@404: (defn worm-direct-control rlm@404: "Create keybindings and a muscle control program that will enable rlm@404: the user to control the worm via the keyboard." rlm@404: [muscle-labels activation-strength] rlm@404: (let [strengths (mapv (fn [_] (atom 0)) muscle-labels) rlm@404: activator rlm@404: (fn [n] rlm@404: (fn [world pressed?] rlm@404: (let [strength (if pressed? activation-strength 0)] rlm@404: (swap! (nth strengths n) (constantly strength))))) rlm@404: activators rlm@404: (map activator (range (count muscle-labels))) rlm@404: worm-keys rlm@404: ["key-f" "key-r" rlm@404: "key-g" "key-t" rlm@404: "key-y" "key-h" rlm@404: "key-j" "key-u" rlm@404: "key-i" "key-k" rlm@404: "key-o" "key-l"]] rlm@404: {:motor-control rlm@404: (fn [effectors] rlm@404: (doall rlm@404: (map (fn [strength effector] rlm@404: (effector (deref strength))) rlm@404: strengths effectors))) rlm@404: :keybindings rlm@404: ;; assume muscles are listed in pairs and map them to keys. rlm@404: (zipmap worm-keys activators)})) rlm@400: rlm@400: ;; These are scripts that direct the worm to move in two radically rlm@400: ;; different patterns -- a sinusoidal wiggling motion, and a curling rlm@400: ;; motions that causes the worm to form a circle. rlm@400: rlm@400: (def curl-script rlm@400: [[370 :d-up 40] rlm@400: [600 :d-up 0]]) rlm@400: rlm@400: (def period 18) rlm@400: rlm@404: (def worm-muscle-labels rlm@399: [:base-up :base-down rlm@404: :a-down :a-up rlm@399: :b-up :b-down rlm@404: :c-down :c-up rlm@400: :d-up :d-down]) rlm@399: rlm@399: (defn gen-wiggle [[flexor extensor :as muscle-pair] time-base] rlm@399: (let [period period rlm@399: power 45] rlm@399: [[time-base flexor power] rlm@399: [(+ time-base period) flexor 0] rlm@399: [(+ time-base period 1) extensor power] rlm@399: [(+ time-base (+ (* 2 period) 2)) extensor 0]])) rlm@399: rlm@399: (def wiggle-script rlm@399: (mapcat gen-wiggle (repeat 40 [:a-down :a-up]) rlm@399: (range 100 10000 (+ 3 (* period 2))))) rlm@399: rlm@399: rlm@400: ;; Normally, we'd use unsupervised/supervised machine learning to pick rlm@400: ;; out the defining features of the different actions available to the rlm@400: ;; worm. For this project, I am going to explicitely define functions rlm@400: ;; that recognize curling and wiggling respectively. These functions rlm@400: ;; are defined using all the information available from an embodied rlm@400: ;; simulation of the action. Note how much easier they are to define rlm@400: ;; than if I only had vision to work with. Things like scale/position rlm@400: ;; invariance are complete non-issues here. This is the advantage of rlm@400: ;; body-centered action recognition and what I hope to show with this rlm@400: ;; thesis. rlm@400: rlm@400: (defn last-nth rlm@400: "Create function that will, when called each frame with the senses rlm@400: of a creature, will record those results and return the last n rlm@400: results." rlm@400: [n] rlm@400: (let [last-n '()] rlm@400: (fn [frame-num {:keys [touch proprioception muscles hearing]}] rlm@400: (take n (cons [frame-num :stuff] last-n))))) rlm@400: rlm@400: rlm@400: (defn wiggling? rlm@400: "Generate a function which, when called each frame with the sensory rlm@400: inputs of a worm, will determine whether the worm is wiggling." rlm@400: [{:keys [touch proprioception muscles hearing]}] rlm@400: (map (fn [f] (f)) proprioception rlm@400: rlm@400: rlm@400: )) rlm@400: rlm@400: (defn curling? rlm@400: "Is the worm curled up?" rlm@400: [] rlm@400: ) rlm@400: rlm@400: (defn resting? rlm@400: "Is the worm on the ground in a neutral position?" rlm@400: []) rlm@400: rlm@400: (def standard-world-view rlm@400: [(Vector3f. 4.207176, -3.7366982, 3.0816958) rlm@400: (Quaternion. 0.11118768, 0.87678415, 0.24434438, -0.3989771)]) rlm@400: rlm@400: (def worm-side-view rlm@400: [(Vector3f. 4.207176, -3.7366982, 3.0816958) rlm@400: (Quaternion. -0.11555642, 0.88188726, -0.2854942, -0.3569518)]) rlm@400: rlm@400: (def degenerate-worm-view rlm@400: [(Vector3f. -0.0708936, -8.570261, 2.6487997) rlm@400: (Quaternion. -2.318909E-4, 0.9985348, 0.053941682, 0.004291452)]) rlm@399: rlm@404: (defn worm-world-defaults [] rlm@404: (let [direct-control (worm-direct-control worm-muscle-labels 40)] rlm@404: {:view worm-side-view rlm@404: :motor-control (:motor-control direct-control) rlm@404: :keybindings (:keybindings direct-control) rlm@404: :record nil})) rlm@404: rlm@404: (defn dir! [file] rlm@404: (if (not (.exists file)) rlm@404: (.mkdir file)) rlm@404: file) rlm@404: rlm@399: (defn worm-world rlm@404: [& {:keys [record motor-control keybindings view] :as settings}] rlm@404: (let [{:keys [record motor-control keybindings view]} rlm@404: (merge (worm-world-defaults) settings) rlm@404: worm (doto (worm-model) (body!)) rlm@404: touch (touch! worm) rlm@404: prop (proprioception! worm) rlm@404: muscles (movement! worm) rlm@404: rlm@404: touch-display (view-touch) rlm@404: prop-display (view-proprioception) rlm@404: muscle-display (view-movement) rlm@404: rlm@404: floor (box 10 1 10 :position (Vector3f. 0 -10 0) rlm@404: :color ColorRGBA/Gray :mass 0)] rlm@399: rlm@404: (world rlm@404: (nodify [worm floor]) rlm@404: (merge standard-debug-controls keybindings) rlm@404: (fn [world] rlm@404: (position-camera world view) rlm@404: (let [timer (IsoTimer. 60)] rlm@404: (.setTimer world timer) rlm@404: (display-dilated-time world timer)) rlm@404: (if record rlm@404: (Capture/captureVideo rlm@404: world rlm@404: (dir! (File. record "main-view")))) rlm@404: (speed-up world) rlm@404: (light-up-everything world)) rlm@404: (fn [world tpf] rlm@404: (let [strong! (motor-control muscles)] rlm@404: (println strong!) rlm@404: (muscle-display rlm@404: strong! rlm@404: (if record (dir! (File. record "muscle"))))) rlm@404: (prop-display rlm@404: (prop) rlm@404: (if record (dir! (File. record "proprio")))) rlm@404: (touch-display rlm@404: (map #(% (.getRootNode world)) touch) rlm@404: (if record rlm@404: (File. record "touch"))))))) rlm@399: rlm@404: