rlm@37: #+title: Simulated Sense of Touch
rlm@0: #+author: Robert McIntyre
rlm@0: #+email: rlm@mit.edu
rlm@37: #+description: Simulated touch for AI research using JMonkeyEngine and clojure.
rlm@37: #+keywords: simulation, tactile sense, jMonkeyEngine3, clojure
rlm@4: #+SETUPFILE: ../../aurellem/org/setup.org
rlm@4: #+INCLUDE: ../../aurellem/org/level-0.org
rlm@0:
rlm@37: * Touch
rlm@0:
rlm@226: Touch is critical to navigation and spatial reasoning and as such I
rlm@226: need a simulated version of it to give to my AI creatures.
rlm@0:
rlm@306: Human skin has a wide array of touch sensors, each of which specialize
rlm@228: in detecting different vibrational modes and pressures. These sensors
rlm@228: can integrate a vast expanse of skin (i.e. your entire palm), or a
rlm@228: tiny patch of skin at the tip of your finger. The hairs of the skin
rlm@228: help detect objects before they even come into contact with the skin
rlm@247: proper.
rlm@228:
rlm@248: However, touch in my simulated world can not exactly correspond to
rlm@248: human touch because my creatures are made out of completely rigid
rlm@248: segments that don't deform like human skin.
rlm@248:
rlm@228: Instead of measuring deformation or vibration, I surround each rigid
rlm@247: part with a plenitude of hair-like objects (/feelers/) which do not
rlm@247: interact with the physical world. Physical objects can pass through
rlm@248: them with no effect. The feelers are able to tell when other objects
rlm@248: pass through them, and they constantly report how much of their extent
rlm@248: is covered. So even though the creature's body parts do not deform,
rlm@248: the feelers create a margin around those body parts which achieves a
rlm@248: sense of touch which is a hybrid between a human's sense of
rlm@248: deformation and sense from hairs.
rlm@228:
rlm@306: Implementing touch in jMonkeyEngine follows a different technical route
rlm@228: than vision and hearing. Those two senses piggybacked off
rlm@228: jMonkeyEngine's 3D audio and video rendering subsystems. To simulate
rlm@247: touch, I use jMonkeyEngine's physics system to execute many small
rlm@247: collision detections, one for each feeler. The placement of the
rlm@247: feelers is determined by a UV-mapped image which shows where each
rlm@247: feeler should be on the 3D surface of the body.
rlm@228:
rlm@229: * Defining Touch Meta-Data in Blender
rlm@229:
rlm@245: Each geometry can have a single UV map which describes the position of
rlm@247: the feelers which will constitute its sense of touch. This image path
rlm@245: is stored under the "touch" key. The image itself is black and white,
rlm@247: with black meaning a feeler length of 0 (no feeler is present) and
rlm@247: white meaning a feeler length of =scale=, which is a float stored
rlm@247: under the key "scale".
rlm@229:
rlm@231: #+name: meta-data
rlm@0: #+begin_src clojure
rlm@229: (defn tactile-sensor-profile
rlm@229: "Return the touch-sensor distribution image in BufferedImage format,
rlm@229: or nil if it does not exist."
rlm@229: [#^Geometry obj]
rlm@229: (if-let [image-path (meta-data obj "touch")]
rlm@229: (load-image image-path)))
rlm@233:
rlm@233: (defn tactile-scale
rlm@247: "Return the length of each feeler. Default scale is 0.01
rlm@247: jMonkeyEngine units."
rlm@233: [#^Geometry obj]
rlm@233: (if-let [scale (meta-data obj "scale")]
rlm@233: scale 0.1))
rlm@228: #+end_src
rlm@156:
rlm@246: Here is an example of a UV-map which specifies the position of touch
rlm@247: sensors along the surface of the upper segment of the worm.
rlm@229:
rlm@246: #+attr_html: width=755
rlm@246: #+caption: This is the tactile-sensor-profile for the upper segment of the worm. It defines regions of high touch sensitivity (where there are many white pixels) and regions of low sensitivity (where white pixels are sparse).
rlm@246: [[../images/finger-UV.png]]
rlm@234:
rlm@247: * Implementation Summary
rlm@247:
rlm@247: To simulate touch there are three conceptual steps. For each solid
rlm@247: object in the creature, you first have to get UV image and scale
rlm@306: parameter which define the position and length of the feelers. Then,
rlm@247: you use the triangles which compose the mesh and the UV data stored in
rlm@247: the mesh to determine the world-space position and orientation of each
rlm@248: feeler. Then once every frame, update these positions and orientations
rlm@248: to match the current position and orientation of the object, and use
rlm@247: physics collision detection to gather tactile data.
rlm@238:
rlm@247: Extracting the meta-data has already been described. The third step,
rlm@273: physics collision detection, is handled in =touch-kernel=.
rlm@247: Translating the positions and orientations of the feelers from the
rlm@248: UV-map to world-space is itself a three-step process.
rlm@239:
rlm@238: - Find the triangles which make up the mesh in pixel-space and in
rlm@273: world-space. =triangles= =pixel-triangles=.
rlm@239:
rlm@247: - Find the coordinates of each feeler in world-space. These are the
rlm@273: origins of the feelers. =feeler-origins=.
rlm@239:
rlm@238: - Calculate the normals of the triangles in world space, and add
rlm@238: them to each of the origins of the feelers. These are the
rlm@273: normalized coordinates of the tips of the feelers. =feeler-tips=.
rlm@239:
rlm@247: * Triangle Math
rlm@306: ** Shrapnel Conversion Functions
rlm@239:
rlm@247: #+name: triangles-1
rlm@247: #+begin_src clojure
rlm@247: (defn vector3f-seq [#^Vector3f v]
rlm@247: [(.getX v) (.getY v) (.getZ v)])
rlm@247:
rlm@247: (defn triangle-seq [#^Triangle tri]
rlm@247: [(vector3f-seq (.get1 tri))
rlm@247: (vector3f-seq (.get2 tri))
rlm@247: (vector3f-seq (.get3 tri))])
rlm@247:
rlm@247: (defn ->vector3f
rlm@247: ([coords] (Vector3f. (nth coords 0 0)
rlm@247: (nth coords 1 0)
rlm@247: (nth coords 2 0))))
rlm@247:
rlm@247: (defn ->triangle [points]
rlm@247: (apply #(Triangle. %1 %2 %3) (map ->vector3f points)))
rlm@247: #+end_src
rlm@247:
rlm@306: It is convenient to treat a =Triangle= as a vector of vectors, and a
rlm@255: =Vector2f= or =Vector3f= as vectors of floats. (->vector3f) and
rlm@273: (->triangle) undo the operations of =vector3f-seq= and
rlm@273: =triangle-seq=. If these classes implemented =Iterable= then =seq=
rlm@306: would work on them automatically.
rlm@248:
rlm@247: ** Decomposing a 3D shape into Triangles
rlm@247:
rlm@248: The rigid objects which make up a creature have an underlying
rlm@247: =Geometry=, which is a =Mesh= plus a =Material= and other important
rlm@248: data involved with displaying the object.
rlm@247:
rlm@247: A =Mesh= is composed of =Triangles=, and each =Triangle= has three
rlm@306: vertices which have coordinates in world space and UV space.
rlm@247:
rlm@273: Here, =triangles= gets all the world-space triangles which compose a
rlm@273: mesh, while =pixel-triangles= gets those same triangles expressed in
rlm@247: pixel coordinates (which are UV coordinates scaled to fit the height
rlm@247: and width of the UV image).
rlm@247:
rlm@247: #+name: triangles-2
rlm@247: #+begin_src clojure
rlm@247: (in-ns 'cortex.touch)
rlm@247: (defn triangle
rlm@247: "Get the triangle specified by triangle-index from the mesh."
rlm@247: [#^Geometry geo triangle-index]
rlm@247: (triangle-seq
rlm@247: (let [scratch (Triangle.)]
rlm@247: (.getTriangle (.getMesh geo) triangle-index scratch) scratch)))
rlm@247:
rlm@247: (defn triangles
rlm@247: "Return a sequence of all the Triangles which compose a given
rlm@247: Geometry."
rlm@247: [#^Geometry geo]
rlm@247: (map (partial triangle geo) (range (.getTriangleCount (.getMesh geo)))))
rlm@247:
rlm@247: (defn triangle-vertex-indices
rlm@247: "Get the triangle vertex indices of a given triangle from a given
rlm@247: mesh."
rlm@247: [#^Mesh mesh triangle-index]
rlm@247: (let [indices (int-array 3)]
rlm@247: (.getTriangle mesh triangle-index indices)
rlm@247: (vec indices)))
rlm@247:
rlm@247: (defn vertex-UV-coord
rlm@247: "Get the UV-coordinates of the vertex named by vertex-index"
rlm@247: [#^Mesh mesh vertex-index]
rlm@247: (let [UV-buffer
rlm@247: (.getData
rlm@247: (.getBuffer
rlm@247: mesh
rlm@247: VertexBuffer$Type/TexCoord))]
rlm@247: [(.get UV-buffer (* vertex-index 2))
rlm@247: (.get UV-buffer (+ 1 (* vertex-index 2)))]))
rlm@247:
rlm@247: (defn pixel-triangle [#^Geometry geo image index]
rlm@247: (let [mesh (.getMesh geo)
rlm@247: width (.getWidth image)
rlm@247: height (.getHeight image)]
rlm@247: (vec (map (fn [[u v]] (vector (* width u) (* height v)))
rlm@247: (map (partial vertex-UV-coord mesh)
rlm@247: (triangle-vertex-indices mesh index))))))
rlm@247:
rlm@248: (defn pixel-triangles
rlm@248: "The pixel-space triangles of the Geometry, in the same order as
rlm@248: (triangles geo)"
rlm@248: [#^Geometry geo image]
rlm@248: (let [height (.getHeight image)
rlm@248: width (.getWidth image)]
rlm@248: (map (partial pixel-triangle geo image)
rlm@248: (range (.getTriangleCount (.getMesh geo))))))
rlm@247: #+end_src
rlm@247: ** The Affine Transform from one Triangle to Another
rlm@247:
rlm@273: =pixel-triangles= gives us the mesh triangles expressed in pixel
rlm@273: coordinates and =triangles= gives us the mesh triangles expressed in
rlm@247: world coordinates. The tactile-sensor-profile gives the position of
rlm@248: each feeler in pixel-space. In order to convert pixel-space
rlm@247: coordinates into world-space coordinates we need something that takes
rlm@247: coordinates on the surface of one triangle and gives the corresponding
rlm@247: coordinates on the surface of another triangle.
rlm@247:
rlm@247: Triangles are [[http://mathworld.wolfram.com/AffineTransformation.html ][affine]], which means any triangle can be transformed into
rlm@247: any other by a combination of translation, scaling, and
rlm@248: rotation. The affine transformation from one triangle to another
rlm@247: is readily computable if the triangle is expressed in terms of a $4x4$
rlm@247: matrix.
rlm@247:
rlm@247: \begin{bmatrix}
rlm@247: x_1 & x_2 & x_3 & n_x \\
rlm@247: y_1 & y_2 & y_3 & n_y \\
rlm@247: z_1 & z_2 & z_3 & n_z \\
rlm@247: 1 & 1 & 1 & 1
rlm@247: \end{bmatrix}
rlm@247:
rlm@306: Here, the first three columns of the matrix are the vertices of the
rlm@247: triangle. The last column is the right-handed unit normal of the
rlm@247: triangle.
rlm@247:
rlm@247: With two triangles $T_{1}$ and $T_{2}$ each expressed as a matrix like
rlm@247: above, the affine transform from $T_{1}$ to $T_{2}$ is
rlm@247:
rlm@247: $T_{2}T_{1}^{-1}$
rlm@247:
rlm@306: The clojure code below recapitulates the formulas above, using
rlm@248: jMonkeyEngine's =Matrix4f= objects, which can describe any affine
rlm@248: transformation.
rlm@247:
rlm@247: #+name: triangles-3
rlm@247: #+begin_src clojure
rlm@247: (in-ns 'cortex.touch)
rlm@247:
rlm@247: (defn triangle->matrix4f
rlm@247: "Converts the triangle into a 4x4 matrix: The first three columns
rlm@247: contain the vertices of the triangle; the last contains the unit
rlm@247: normal of the triangle. The bottom row is filled with 1s."
rlm@247: [#^Triangle t]
rlm@247: (let [mat (Matrix4f.)
rlm@247: [vert-1 vert-2 vert-3]
rlm@247: ((comp vec map) #(.get t %) (range 3))
rlm@247: unit-normal (do (.calculateNormal t)(.getNormal t))
rlm@247: vertices [vert-1 vert-2 vert-3 unit-normal]]
rlm@247: (dorun
rlm@247: (for [row (range 4) col (range 3)]
rlm@247: (do
rlm@247: (.set mat col row (.get (vertices row) col))
rlm@247: (.set mat 3 row 1)))) mat))
rlm@247:
rlm@247: (defn triangles->affine-transform
rlm@247: "Returns the affine transformation that converts each vertex in the
rlm@247: first triangle into the corresponding vertex in the second
rlm@247: triangle."
rlm@247: [#^Triangle tri-1 #^Triangle tri-2]
rlm@247: (.mult
rlm@247: (triangle->matrix4f tri-2)
rlm@247: (.invert (triangle->matrix4f tri-1))))
rlm@247: #+end_src
rlm@247: ** Triangle Boundaries
rlm@247:
rlm@247: For efficiency's sake I will divide the tactile-profile image into
rlm@247: small squares which inscribe each pixel-triangle, then extract the
rlm@247: points which lie inside the triangle and map them to 3D-space using
rlm@273: =triangle-transform= above. To do this I need a function,
rlm@273: =convex-bounds= which finds the smallest box which inscribes a 2D
rlm@247: triangle.
rlm@247:
rlm@273: =inside-triangle?= determines whether a point is inside a triangle
rlm@247: in 2D pixel-space.
rlm@247:
rlm@247: #+name: triangles-4
rlm@247: #+begin_src clojure
rlm@247: (defn convex-bounds
rlm@247: "Returns the smallest square containing the given vertices, as a
rlm@247: vector of integers [left top width height]."
rlm@247: [verts]
rlm@247: (let [xs (map first verts)
rlm@247: ys (map second verts)
rlm@247: x0 (Math/floor (apply min xs))
rlm@247: y0 (Math/floor (apply min ys))
rlm@247: x1 (Math/ceil (apply max xs))
rlm@247: y1 (Math/ceil (apply max ys))]
rlm@247: [x0 y0 (- x1 x0) (- y1 y0)]))
rlm@247:
rlm@247: (defn same-side?
rlm@247: "Given the points p1 and p2 and the reference point ref, is point p
rlm@247: on the same side of the line that goes through p1 and p2 as ref is?"
rlm@247: [p1 p2 ref p]
rlm@247: (<=
rlm@247: 0
rlm@247: (.dot
rlm@247: (.cross (.subtract p2 p1) (.subtract p p1))
rlm@247: (.cross (.subtract p2 p1) (.subtract ref p1)))))
rlm@247:
rlm@247: (defn inside-triangle?
rlm@247: "Is the point inside the triangle?"
rlm@247: {:author "Dylan Holmes"}
rlm@247: [#^Triangle tri #^Vector3f p]
rlm@247: (let [[vert-1 vert-2 vert-3] [(.get1 tri) (.get2 tri) (.get3 tri)]]
rlm@247: (and
rlm@247: (same-side? vert-1 vert-2 vert-3 p)
rlm@247: (same-side? vert-2 vert-3 vert-1 p)
rlm@247: (same-side? vert-3 vert-1 vert-2 p))))
rlm@247: #+end_src
rlm@247:
rlm@247: * Feeler Coordinates
rlm@247:
rlm@247: The triangle-related functions above make short work of calculating
rlm@247: the positions and orientations of each feeler in world-space.
rlm@247:
rlm@247: #+name: sensors
rlm@247: #+begin_src clojure
rlm@247: (in-ns 'cortex.touch)
rlm@247:
rlm@247: (defn feeler-pixel-coords
rlm@247: "Returns the coordinates of the feelers in pixel space in lists, one
rlm@247: list for each triangle, ordered in the same way as (triangles) and
rlm@247: (pixel-triangles)."
rlm@247: [#^Geometry geo image]
rlm@247: (map
rlm@247: (fn [pixel-triangle]
rlm@247: (filter
rlm@247: (fn [coord]
rlm@247: (inside-triangle? (->triangle pixel-triangle)
rlm@247: (->vector3f coord)))
rlm@247: (white-coordinates image (convex-bounds pixel-triangle))))
rlm@247: (pixel-triangles geo image)))
rlm@247:
rlm@247: (defn feeler-world-coords
rlm@247: "Returns the coordinates of the feelers in world space in lists, one
rlm@247: list for each triangle, ordered in the same way as (triangles) and
rlm@247: (pixel-triangles)."
rlm@247: [#^Geometry geo image]
rlm@247: (let [transforms
rlm@247: (map #(triangles->affine-transform
rlm@247: (->triangle %1) (->triangle %2))
rlm@247: (pixel-triangles geo image)
rlm@247: (triangles geo))]
rlm@247: (map (fn [transform coords]
rlm@247: (map #(.mult transform (->vector3f %)) coords))
rlm@247: transforms (feeler-pixel-coords geo image))))
rlm@247:
rlm@247: (defn feeler-origins
rlm@247: "The world space coordinates of the root of each feeler."
rlm@247: [#^Geometry geo image]
rlm@247: (reduce concat (feeler-world-coords geo image)))
rlm@247:
rlm@247: (defn feeler-tips
rlm@247: "The world space coordinates of the tip of each feeler."
rlm@247: [#^Geometry geo image]
rlm@247: (let [world-coords (feeler-world-coords geo image)
rlm@247: normals
rlm@247: (map
rlm@247: (fn [triangle]
rlm@247: (.calculateNormal triangle)
rlm@247: (.clone (.getNormal triangle)))
rlm@247: (map ->triangle (triangles geo)))]
rlm@247:
rlm@247: (mapcat (fn [origins normal]
rlm@247: (map #(.add % normal) origins))
rlm@247: world-coords normals)))
rlm@247:
rlm@247: (defn touch-topology
rlm@247: "touch-topology? is not a function."
rlm@247: [#^Geometry geo image]
rlm@247: (collapse (reduce concat (feeler-pixel-coords geo image))))
rlm@247: #+end_src
rlm@247: * Simulated Touch
rlm@247:
rlm@273: =touch-kernel= generates functions to be called from within a
rlm@247: simulation that perform the necessary physics collisions to collect
rlm@273: tactile data, and =touch!= recursively applies it to every node in
rlm@247: the creature.
rlm@238:
rlm@233: #+name: kernel
rlm@233: #+begin_src clojure
rlm@233: (in-ns 'cortex.touch)
rlm@233:
rlm@244: (defn set-ray [#^Ray ray #^Matrix4f transform
rlm@244: #^Vector3f origin #^Vector3f tip]
rlm@306: ;; Doing everything locally reduces garbage collection by enough to
rlm@243: ;; be worth it.
rlm@243: (.mult transform origin (.getOrigin ray))
rlm@243: (.mult transform tip (.getDirection ray))
rlm@249: (.subtractLocal (.getDirection ray) (.getOrigin ray))
rlm@249: (.normalizeLocal (.getDirection ray)))
rlm@242:
rlm@249: (import com.jme3.math.FastMath)
rlm@249:
rlm@249:
rlm@233: (defn touch-kernel
rlm@234: "Constructs a function which will return tactile sensory data from
rlm@234: 'geo when called from inside a running simulation"
rlm@234: [#^Geometry geo]
rlm@243: (if-let
rlm@243: [profile (tactile-sensor-profile geo)]
rlm@243: (let [ray-reference-origins (feeler-origins geo profile)
rlm@243: ray-reference-tips (feeler-tips geo profile)
rlm@244: ray-length (tactile-scale geo)
rlm@243: current-rays (map (fn [_] (Ray.)) ray-reference-origins)
rlm@249: topology (touch-topology geo profile)
rlm@249: correction (float (* ray-length -0.2))]
rlm@249:
rlm@249: ;; slight tolerance for very close collisions.
rlm@249: (dorun
rlm@249: (map (fn [origin tip]
rlm@249: (.addLocal origin (.mult (.subtract tip origin)
rlm@249: correction)))
rlm@249: ray-reference-origins ray-reference-tips))
rlm@244: (dorun (map #(.setLimit % ray-length) current-rays))
rlm@233: (fn [node]
rlm@243: (let [transform (.getWorldMatrix geo)]
rlm@243: (dorun
rlm@244: (map (fn [ray ref-origin ref-tip]
rlm@244: (set-ray ray transform ref-origin ref-tip))
rlm@243: current-rays ray-reference-origins
rlm@244: ray-reference-tips))
rlm@233: (vector
rlm@243: topology
rlm@233: (vec
rlm@243: (for [ray current-rays]
rlm@233: (do
rlm@233: (let [results (CollisionResults.)]
rlm@233: (.collideWith node ray results)
rlm@233: (let [touch-objects
rlm@233: (filter #(not (= geo (.getGeometry %)))
rlm@249: results)
rlm@249: limit (.getLimit ray)]
rlm@233: [(if (empty? touch-objects)
rlm@249: limit
rlm@249: (let [response
rlm@249: (apply min (map #(.getDistance %)
rlm@249: touch-objects))]
rlm@249: (FastMath/clamp
rlm@249: (float
rlm@283: (if (> response limit) (float 0.0)
rlm@249: (+ response correction)))
rlm@249: (float 0.0)
rlm@249: limit)))
rlm@249: limit])))))))))))
rlm@233:
rlm@233: (defn touch!
rlm@233: "Endow the creature with the sense of touch. Returns a sequence of
rlm@306: functions, one for each body part with a tactile-sensor-profile,
rlm@233: each of which when called returns sensory data for that body part."
rlm@233: [#^Node creature]
rlm@233: (filter
rlm@233: (comp not nil?)
rlm@233: (map touch-kernel
rlm@233: (filter #(isa? (class %) Geometry)
rlm@233: (node-seq creature)))))
rlm@233: #+end_src
rlm@233:
rlm@249: #+results: kernel
rlm@249: : #'cortex.touch/touch!
rlm@249:
rlm@247: * Visualizing Touch
rlm@238:
rlm@249: Each feeler is represented in the image as a single pixel. The
rlm@306: greyscale value of each pixel represents how deep the feeler
rlm@249: represented by that pixel is inside another object. Black means that
rlm@249: nothing is touching the feeler, while white means that the feeler is
rlm@249: completely inside another object, which is presumably flush with the
rlm@249: surface of the triangle from which the feeler originates.
rlm@249:
rlm@233: #+name: visualization
rlm@233: #+begin_src clojure
rlm@233: (in-ns 'cortex.touch)
rlm@233:
rlm@233: (defn touch->gray
rlm@306: "Convert a pair of [distance, max-distance] into a gray-scale pixel."
rlm@233: [distance max-distance]
rlm@245: (gray (- 255 (rem (int (* 255 (/ distance max-distance))) 256))))
rlm@233:
rlm@233: (defn view-touch
rlm@245: "Creates a function which accepts a list of touch sensor-data and
rlm@233: displays each element to the screen."
rlm@233: []
rlm@233: (view-sense
rlm@246: (fn [[coords sensor-data]]
rlm@233: (let [image (points->image coords)]
rlm@233: (dorun
rlm@233: (for [i (range (count coords))]
rlm@250: (.setRGB image ((coords i) 0) ((coords i) 1)
rlm@250: (apply touch->gray (sensor-data i)))))
rlm@283: image))))
rlm@233: #+end_src
rlm@249:
rlm@249: #+results: visualization
rlm@249: : #'cortex.touch/view-touch
rlm@249:
rlm@250: * Basic Test of Touch
rlm@249:
rlm@249: The worm's sense of touch is a bit complicated, so for this basic test
rlm@249: I'll use a new creature --- a simple cube which has touch sensors
rlm@249: evenly distributed along each of its sides.
rlm@249:
rlm@253: #+name: test-touch-0
rlm@249: #+begin_src clojure
rlm@249: (in-ns 'cortex.test.touch)
rlm@249:
rlm@249: (defn touch-cube []
rlm@249: (load-blender-model "Models/test-touch/touch-cube.blend"))
rlm@249: #+end_src
rlm@249:
rlm@253: ** The Touch Cube
rlm@249: #+begin_html
rlm@249:
rlm@249: #+end_html
rlm@249:
rlm@249: The tactile-sensor-profile image for this simple creature looks like
rlm@249: this:
rlm@249:
rlm@249: #+attr_html: width=500
rlm@249: #+caption: The distribution of feelers along the touch-cube. The colors of the faces are irrelevant; only the white pixels specify feelers.
rlm@249: [[../images/touch-profile.png]]
rlm@249:
rlm@253: #+name: test-touch-1
rlm@249: #+begin_src clojure
rlm@249: (in-ns 'cortex.test.touch)
rlm@249:
rlm@249: (defn test-basic-touch
rlm@249: ([] (test-basic-touch false))
rlm@249: ([record?]
rlm@249: (let [the-cube (doto (touch-cube) (body!))
rlm@249: touch (touch! the-cube)
rlm@249: touch-display (view-touch)]
rlm@250: (world
rlm@250: (nodify [the-cube
rlm@250: (box 10 1 10 :position (Vector3f. 0 -10 0)
rlm@250: :color ColorRGBA/Gray :mass 0)])
rlm@250:
rlm@250: standard-debug-controls
rlm@250:
rlm@250: (fn [world]
rlm@250: (if record?
rlm@250: (Capture/captureVideo
rlm@250: world
rlm@250: (File. "/home/r/proj/cortex/render/touch-cube/main-view/")))
rlm@250: (speed-up world)
rlm@250: (light-up-everything world))
rlm@250:
rlm@250: (fn [world tpf]
rlm@250: (touch-display
rlm@250: (map #(% (.getRootNode world)) touch)
rlm@250: (if record?
rlm@250: (File. "/home/r/proj/cortex/render/touch-cube/touch/"))))))))
rlm@250: #+end_src
rlm@249:
rlm@250: ** Basic Touch Demonstration
rlm@249:
rlm@250: #+begin_html
rlm@250:
rlm@250: #+end_html
rlm@249:
rlm@250: ** Generating the Basic Touch Video
rlm@253: #+name: magick4
rlm@250: #+begin_src clojure
rlm@250: (ns cortex.video.magick4
rlm@250: (:import java.io.File)
rlm@250: (:use clojure.contrib.shell-out))
rlm@250:
rlm@250: (defn images [path]
rlm@250: (sort (rest (file-seq (File. path)))))
rlm@250:
rlm@250: (def base "/home/r/proj/cortex/render/touch-cube/")
rlm@250:
rlm@250: (defn pics [file]
rlm@250: (images (str base file)))
rlm@250:
rlm@250: (defn combine-images []
rlm@250: (let [main-view (pics "main-view")
rlm@250: touch (pics "touch/0")
rlm@250: background (repeat 9001 (File. (str base "background.png")))
rlm@250: targets (map
rlm@250: #(File. (str base "out/" (format "%07d.png" %)))
rlm@250: (range 0 (count main-view)))]
rlm@250: (dorun
rlm@250: (pmap
rlm@250: (comp
rlm@250: (fn [[background main-view touch target]]
rlm@250: (println target)
rlm@250: (sh "convert"
rlm@250: touch
rlm@250: "-resize" "x300"
rlm@250: "-rotate" "180"
rlm@250: background
rlm@250: "-swap" "0,1"
rlm@250: "-geometry" "+776+129"
rlm@250: "-composite"
rlm@250: main-view "-geometry" "+66+21" "-composite"
rlm@250: target))
rlm@250: (fn [& args] (map #(.getCanonicalPath %) args)))
rlm@250: background main-view touch targets))))
rlm@249: #+end_src
rlm@249:
rlm@252: #+begin_src sh :results silent
rlm@252: cd /home/r/proj/cortex/render/touch-cube/
rlm@252: ffmpeg -r 60 -i out/%07d.png -b:v 9000k -c:v libtheora basic-touch.ogg
rlm@252: #+end_src
rlm@250:
rlm@232: * Adding Touch to the Worm
rlm@232:
rlm@253: #+name: test-touch-2
rlm@232: #+begin_src clojure
rlm@253: (in-ns 'cortex.test.touch)
rlm@232:
rlm@283: (defn test-worm-touch
rlm@283: ([] (test-worm-touch false))
rlm@253: ([record?]
rlm@253: (let [the-worm (doto (worm) (body!))
rlm@253: touch (touch! the-worm)
rlm@253: touch-display (view-touch)]
rlm@253: (world
rlm@253: (nodify [the-worm (floor)])
rlm@253: standard-debug-controls
rlm@253:
rlm@253: (fn [world]
rlm@253: (if record?
rlm@253: (Capture/captureVideo
rlm@253: world
rlm@253: (File. "/home/r/proj/cortex/render/worm-touch/main-view/")))
rlm@253: (speed-up world)
rlm@253: (light-up-everything world))
rlm@232:
rlm@253: (fn [world tpf]
rlm@253: (touch-display
rlm@253: (map #(% (.getRootNode world)) touch)
rlm@253: (if record?
rlm@253: (File. "/home/r/proj/cortex/render/worm-touch/touch/"))))))))
rlm@232: #+end_src
rlm@247:
rlm@253: ** Worm Touch Demonstration
rlm@253: #+begin_html
rlm@253:
rlm@253: #+end_html
rlm@252:
rlm@252:
rlm@253: ** Generating the Worm Touch Video
rlm@253: #+name: magick5
rlm@253: #+begin_src clojure
rlm@253: (ns cortex.video.magick5
rlm@253: (:import java.io.File)
rlm@253: (:use clojure.contrib.shell-out))
rlm@253:
rlm@253: (defn images [path]
rlm@253: (sort (rest (file-seq (File. path)))))
rlm@253:
rlm@253: (def base "/home/r/proj/cortex/render/worm-touch/")
rlm@253:
rlm@253: (defn pics [file]
rlm@253: (images (str base file)))
rlm@253:
rlm@253: (defn combine-images []
rlm@253: (let [main-view (pics "main-view")
rlm@253: touch (pics "touch/0")
rlm@253: targets (map
rlm@253: #(File. (str base "out/" (format "%07d.png" %)))
rlm@253: (range 0 (count main-view)))]
rlm@253: (dorun
rlm@253: (pmap
rlm@253: (comp
rlm@253: (fn [[ main-view touch target]]
rlm@253: (println target)
rlm@253: (sh "convert"
rlm@253: main-view
rlm@253: touch "-geometry" "+0+0" "-composite"
rlm@253: target))
rlm@253: (fn [& args] (map #(.getCanonicalPath %) args)))
rlm@253: main-view touch targets))))
rlm@253: #+end_src
rlm@252:
rlm@247: * Headers
rlm@247:
rlm@247: #+name: touch-header
rlm@247: #+begin_src clojure
rlm@247: (ns cortex.touch
rlm@247: "Simulate the sense of touch in jMonkeyEngine3. Enables any Geometry
rlm@247: to be outfitted with touch sensors with density determined by a UV
rlm@247: image. In this way a Geometry can know what parts of itself are
rlm@247: touching nearby objects. Reads specially prepared blender files to
rlm@247: construct this sense automatically."
rlm@247: {:author "Robert McIntyre"}
rlm@247: (:use (cortex world util sense))
rlm@247: (:use clojure.contrib.def)
rlm@247: (:import (com.jme3.scene Geometry Node Mesh))
rlm@247: (:import com.jme3.collision.CollisionResults)
rlm@247: (:import com.jme3.scene.VertexBuffer$Type)
rlm@247: (:import (com.jme3.math Triangle Vector3f Vector2f Ray Matrix4f)))
rlm@247: #+end_src
rlm@247:
rlm@253: #+name: test-touch-header
rlm@253: #+begin_src clojure
rlm@253: (ns cortex.test.touch
rlm@253: (:use (cortex world util sense body touch))
rlm@253: (:use cortex.test.body)
rlm@253: (:import com.aurellem.capture.Capture)
rlm@253: (:import java.io.File)
rlm@253: (:import (com.jme3.math Vector3f ColorRGBA)))
rlm@253: #+end_src
rlm@253:
rlm@228: * Source Listing
rlm@253: - [[../src/cortex/touch.clj][cortex.touch]]
rlm@253: - [[../src/cortex/test/touch.clj][cortex.test.touch]]
rlm@253: - [[../src/cortex/video/magick4.clj][cortex.video.magick4]]
rlm@253: - [[../src/cortex/video/magick5.clj][cortex.video.magick5]]
rlm@283: - [[../assets/Models/test-touch/touch-cube.blend][touch-cube.blend]]
rlm@253: #+html:
rlm@253: - [[http://hg.bortreb.com ][source-repository]]
rlm@253:
rlm@254: * Next
rlm@254: So far I've implemented simulated Vision, Hearing, and Touch, the most
rlm@306: obvious and prominent senses that humans have. Smell and Taste shall
rlm@254: remain unimplemented for now. This accounts for the "five senses" that
rlm@254: feature so prominently in our lives. But humans have far more than the
rlm@254: five main senses. There are internal chemical senses, pain (which is
rlm@254: *not* the same as touch), heat sensitivity, and our sense of balance,
rlm@254: among others. One extra sense is so important that I must implement it
rlm@254: to have a hope of making creatures that can gracefully control their
rlm@255: own bodies. It is Proprioception, which is the sense of the location
rlm@254: of each body part in relation to the other body parts.
rlm@253:
rlm@254: Close your eyes, and touch your nose with your right index finger. How
rlm@254: did you do it? You could not see your hand, and neither your hand nor
rlm@254: your nose could use the sense of touch to guide the path of your hand.
rlm@254: There are no sound cues, and Taste and Smell certainly don't provide
rlm@254: any help. You know where your hand is without your other senses
rlm@254: because of Proprioception.
rlm@228:
rlm@254: Onward to [[./proprioception.org][proprioception]]!
rlm@228:
rlm@226: * COMMENT Code Generation
rlm@39: #+begin_src clojure :tangle ../src/cortex/touch.clj
rlm@231: <>
rlm@231: <>
rlm@231: <>
rlm@247: <>
rlm@231: <>
rlm@231: <>
rlm@231: <>
rlm@231: <>
rlm@231: <>
rlm@0: #+end_src
rlm@0:
rlm@253: #+begin_src clojure :tangle ../src/cortex/test/touch.clj
rlm@253: <>
rlm@253: <>
rlm@253: <>
rlm@253: <>
rlm@253: #+end_src
rlm@232:
rlm@253: #+begin_src clojure :tangle ../src/cortex/video/magick4.clj
rlm@253: <>
rlm@39: #+end_src
rlm@39:
rlm@253: #+begin_src clojure :tangle ../src/cortex/video/magick5.clj
rlm@253: <>
rlm@253: #+end_src