Exact Arrangements and Motion Planning - PowerPoint PPT Presentation

1 / 22
About This Presentation
Title:

Exact Arrangements and Motion Planning

Description:

Exact Arrangements and Motion Planning – PowerPoint PPT presentation

Number of Views:24
Avg rating:3.0/5.0
Slides: 23
Provided by: hezi2
Category:

less

Transcript and Presenter's Notes

Title: Exact Arrangements and Motion Planning


1
Exact Arrangementsand Motion Planning
  • Ron Wein
    July 2003

2
Planar Arrangements
Given a collection C of curves in the plane, the
arrangement of A(C) is the subdivision of the
plane into vertices, edges and faces induced by
the curves in C.
3
CGALs Arrangement Package(Ezra, Flato, Fogel,
Hanniel, Hirsch, Nechushtan)
CGALs arrangement package handles the topology
of planar arrangements and separates it from the
geometry of the curves
  • It constructs the underlying DCEL and maintains
    the connection between the half-edges and their
    generating curves.
  • The arrangement may either be constructed
    incrementally,or using a sweep-line algorithm.
  • Point-location queries are supported.

4
Robustness Issues
The package is designed to handle all sorts of
degenerate inputs, such as
Assuming correctness of the geometric methods.
5
The Arrangement Traits Concept
The geometric predicates and constructions are
supplied by a so-called traits class, which
should
  • Divide a curve to x-monotone sub-curves.
  • Compare two sub-curves at a given x-coordinate.
  • Compare two sub-curves next to their
    intersection.
  • Determine if a given point is above, below or on
    a sub-curve.
  • Compute the intersection points (or overlaps) of
    two curves.

6
Existing Arrangement Traits
7
More Robustness Issues
The traits classes implement robust predicate and
exact constructions (e.g. of intersection points)
using exact arithmetic and exact number types
  • The segment traits and the polyline traits use
    rational numbers with unbounded integers.
  • The conic traits class uses algebraic numbers
    (from the LEDA or the CORE libraries).
  • Filters are massively used for speed-ups.

8
Translating Polygonal Robot
9
Translating Polygonal Robot(E. Flato, 2000)
  • Divide the robot into convex polygons Q1, , Qm.
  • For each obstacle P(k)
  • Divide into convex polygons P1(k), , Pnk(k).
  • Compute
  • Compute the union of the C(k) polygons and
    construct the vertical decomposition into
    pseudo-trapezoids.
  • Construct the connectivity graph for the
    pseudo-trapezoids.

10
Translating Disc Robot
11
Translating Disc Robot(S. Hirsch and E.
Leiserowitz, 2001)
  • Infalte each obstacle P(k) by the radius of the
    robot and obtain C(k), whose boundary is a
    collection of line segment and circular arcs.
  • Compute the union of the C(k) pseudo-polygons and
    construct the vertical decomposition into
    pseudo-trapezoids.
  • Construct the connectivity graph for the
    pseudo-trapezoids.

12
Hybrid Motion Planning Two Discs Moving among
Polygonal Obtacles(S. Hirsch and D. Halperin,
2002)
There are 4 degrees of freedom. The problem is
reduced to simpler planar motion planning
problems, then lifted back to ?4.
13
The Configuration Space
14
Configurations for Two Discs
  • Let D1 and D2 denote the two disc robots.
  • Compute Cfree(1) and Cfree(2), the free
    configuration for each robot (disregarding the
    other robot).
  • Let c1(1),, cm1(1) and c1(2),, cm2(2) be
    the decomposition of Cfree(1) and Cfree(2) to
    pseudo-discs.
  • Let us denote Cijci(1)?cj(2), and Cfree
    ?i,jCi,j
  • Denote Cfree- ?i,jCi,j (ci(1)?D1) ?
    (cj(2)?D2) ?

15
Hybrid Roadmap Construction
  • Construct Cfree(1) and Cfree(2) exactly, and
    compute the vertical decompositions c1(1),,
    cm1(1) and c1(2),, cm2(2).
  • In-cell connection For each cell Cijci(1)?cj(2)
    construct its connectivity graph Gij using a
    local planner.
  • Inter-cell connection For each pair of adjacent
    cells Cij and Ckl, connect connected components
    of Gij and Gkl.
  • Stitching For each pair Vi and Vj of connected
    components of the initial roadmap G, try to merge
    the two components into a single connected
    component.

16
Features of HyMP
  • Reliance on exact computation wherever possible.
  • The explicit representation of Cfree allows us
    to provide disconnection proofs.
  • Insensitivity to narrow passages (and sometimes
    even tight passages).

17
Experimental Results
18
Coordinating a Milling CutterComputing the Lower
Envelope of Line Segments and Hyperbolic
Arcs(Ongoing work with G. Elber and O. Ilusihin)
Motion planning for a CAD application.
19
Motivation
A milling cutter rotating in an environment of
polyhedral surfaces, and should be moved without
touching those surfaces.
20
Exact Solution
  • Select a plane that contains the symmetry axis of
    the rotating cutter.
  • Compute the lower envelope of the collection and
    check whether it intersects with the cutter.

21
Implementation Details
  • A new CGAL package was developed for computing
    the lower (and upper) envelope of a collection of
    curves.
  • The package employs the divide-and-conquer
    algorithm for computing the lower envelope in O(n
    logn) time.
  • However, no general position assumptions are
    made
  • Curves may overlap.
  • Vertical segments are supported, etc.
  • The package also separates the topology for the
    geometry. It makes use of a traits class with the
    same predicates and methods as the one use by the
    Arrangement package.

22
Preliminary Results
Using exact computation, the lower envelope of
500 hyperbolic arcs is computed in 8 seconds
(where about 50 curves form the lower envelope).
Write a Comment
User Comments (0)
About PowerShow.com