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MANIPULATION PLANNING UNDER CONTINUOUS GRASPS AND PLACEMENTS

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... A Sahbani, JP Laumond. A 6 dof Robotic Manipulator performing pick and place of the Rod inside the Cage. ... Solution is a constrained path is Csfree. Solution ... – PowerPoint PPT presentation

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Title: MANIPULATION PLANNING UNDER CONTINUOUS GRASPS AND PLACEMENTS


1
MANIPULATION PLANNING UNDER CONTINUOUS GRASPS AND
PLACEMENTS
T. Simeon, J Cortes, A Sahbani, JP Laumond
  • By,
  • Arjun. K. Arumbakkam

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A 6 dof Robotic Manipulator performing pick and
place of the Rod inside the Cage.
4
Manipulation Planning Problem
  • Configuration space of Robot
  • Crob
  • Configuration space of Object
  • Cobj
  • Composite Configuration Space
  • Cspace Crob x Cobj
  • Free space
  • Csfree ? Subset of Cspace

5
Manipulation Constraints
  • Solution is a constrained path is Csfree.
  • Solution path consists of
  • Transit path ? Only the robot moves and the
    Object is static.
  • Transfer path ? Object is static relative to the
    robot. Robot is moving around.

6
Hierarchical subdivision of Problem
  • Planner divides search space into several
    components
  • CSpace
  • Placement Space ? CP
  • Grasp Space ? CG

7
Structure of the Manipulation Roadmap
8
Problem definition
  • To find a path connecting two configurations in
    CG U CP, given P and G.

9
Earlier manipulation planners
  • Required Inputs from the user
  • Finite set of Stable Placements of Movable
    Object.
  • Finite set of Possible Grasps of Movable Object.

Hence, they were known as Planners for Discrete
cases
10
What is new in this planner ?
  • Deals with continuous sets of P and G.
  • CG CP is defined as a continuous domain, which
    is basically the manifold that corresponds to the
    robot grasping the movable object on a stable
    placement.
  • Utilizes REDUCTION PROPERTY of the manipulation
    graph.

11
Manipulation Graph
  • Is a Search space
  • Nodes correspond to small connected components of
    CG CP .
  • These nodes are connected using alternating
    Transit and Transfer paths.

12
Visibility road map computed in CG CP and two
placements in two different connected components
13
Connections using Transfer and Transit paths
  • When a direct collision free path between q1
    and q2 in CG CP cannot be made then
  • qi (gi, pi)
  • A connection is attempted by the planner if
  • There is a transfer path from (g1,p1) to (g1,
    p2) followed by a transit path from (g1, p2) to
    (g2, p2) and vice versa.

14
Probabilistic Algorithm for path planning
  • The connected components in CG CP are
    computed.
  • Connectivity of these subsets is determined using
    Transit and Transfer paths (reduction technique).
  • This approach allows for continuous sets in the
    manipulation problem.

15
  • I.e. several classes of possible continuous
    grasps are entered as Gi.
  • Gi is defined by a Transformation matrix Tgi and
    a set of parameters/ q_grasp, varying in an
    interval.
  • Same thing applies for possible continuous
    placements (defined by)
  • Transformation matrix and q_place (x, y, Q)

16
Virtual closed chain system and a feasible CGCP
motion.
17
Manipulation planning Algorithm
  • Incrementally constructs a manipulation graph
    (MG), until it exceeds MAX_NTRY nodes or finds a
    solution.
  • Primarily consists of four subroutines
  • EXPAND_GRAPH(MG)
  • EXPAND_IN_GP(MG)
  • EXPAND_USING_REGRASPING(MG)
  • EXPAND_USING_TRANSFER(MG)

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References
  • A Probabilistic Algorithm for Manipulation under
    continuous grasps and placements, by
  • A. Sahbani, J Cortes, T. Simeon
  • A Manipulation planner for pick and place
    operations under continuous grasps and
    placements, by
  • T. Simeon, J. Cortes, A Sahbani, JP Laumond
  • JC Latombe Robot Motion Planning
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