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Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

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Page 1: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Assembly Planning

“A Framework for Geometric Reasoning About Tools in Assembly”

Randall H. Wilson

Presentation by Adit Koolwal & Julie Letchner

Page 2: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Overview

Formal categorization of tools to allow reasoning about their use Does: determine whether or not there is space to use a tool Does not:

Consider space for approach/manipulation Determine what tools to use Determine order of assembly of parts

Page 3: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Canonical Tools

Formal definition of a tool & its usage Three components:

Relative time of application Use volume Placement constraints

A single physical tool can map to multiple canonical tools

Page 4: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Relative Time of Application

Assume each tool application mates subassemblies S1 and S2 into a single subassembly S Notation: S = S1 U S2

S1 S2 S

Page 5: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Relative Time of Application

Pre-tools: applied to S1

Example: glue gun Post-tools: applied to S = S1 U S2

Example: welder, inspection camera

In-tools: applied to S1 and S2 under relative motion

Example: wrench, hammer Can often be approximated as pre- or post-tools

Page 6: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Use Volume

Volume of space required to apply a given tool Fixed with respect to canonical reference frame Doesn’t include space required for approach/manipulation

x

yUse volume & canonical

reference frame for a 45 degree wrench rotation

Page 7: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Placement Constraints

Restrictions on the placement of the use volume Robotics framework:

Treat the tool as a robot and the assembly parts as obstacles Model placement options as an m-dimensional configuration space 0<= m <= 4

Page 8: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Example: Wrench

Time of application: in-tool Approximate as: post-tool Use volume: angle swept while turning wrench Dimensionality: 1 (angle at which sweep begins)

Page 9: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Example: Screwdriver

Time of application: in-tool Approximate as: post-tool Use volume: volume of screwdriver Dimensionality: 0

What happens if the screwdriver need not be

absolutely verticalrelative to the screw’s axis?

Page 10: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Tool Applications

Target Operation for a tool is an assembly requiring the use of that tool Target Part Set of an operation is the list of parts involved in an operation

Example wrench target part set: {bolt, partX}

O is a target operation for a tool with target part set T iff: TS ^ TS1 ^ TS2

Page 11: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Tool Feasibility

A Tool can be applied when: Use volume U obeys placement constraints, and doesn’t intersect any other parts

Use volumes can be represented in a C-space

All configurations exist in a 6-dimensional configuration space

The C-space obstacle Ou(Pi) represents the set of configurations where U intersects part Pi

Configuration C is collision-free if and only if C satisfies all placement constraints and lies outside all C-obstacles

Page 12: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Tool Feasibility

Searching for use volumes takes polynomial time

Searching for collision-free use volumes is polynomial in..

the total number of surfaces describing the parts,

the use volume, and

all placement constraints

Page 13: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Tool Feasibility

Searching for use volumes takes polynomial time

This assumes surfaces are all algebraic of bounded degree

For 0-DOF tools, only one configuration satisfies placement constraints, so we need only check for intersection between use volume and parts

Page 14: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Preprocessing Steps

Preprocessing minimizes repeated computation

In preprocessing we compute interference sets

For each configuration, a tool will intersect a set of parts

We compute all interference sets. The tool application in subassembly S is feasible if and only if S has no parts from at least one of the interference sets.

Page 15: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Preprocessing Steps

{C}{0}

{A}

{A,B}

{B}

C

B

A

Calculating Interference Sets

• Pi is in the interference set for C if and only if C Є Ou(Pi).

• The boundaries of C-obstacles sub-divide the C-space into cells.

• The number of cells is polynomial in the number of surfaces.

Page 16: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Non-Directional Blocking Graphs

NDBGs model the trajectory space of an assembly

Constructing an NDBG (part one):

For an assembly A = {P1, P2, … Pn} we consider all trajectories t

Each node is a part Pi Є A. Arcs between nodes Pi and Pj

indicate that Pi will collide into Pj when moved along t

P4

P2

P5

P1 P3

Page 17: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Non-Directional Blocking Graphs

NDBGs model the trajectory space of an assembly

Constructing an NDBG (part two): Look for a subassembly S1 which can move along t without colliding into parts in S2 = A/S1

The NDBG of A subdivides the space of all trajectories into cells where, in a given cell, each t has the same blocking graph

P4

P2

P5

P1 P3P1 P3

P2

P5 P4

Page 18: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Non-Directional Blocking Graphs

Inclusion of Target Part Sets for Post-tools

Post-tool applications with target part set T impose constraints on subassemblies S1 and S2 of A:

If T is not a subset of S1 or S2, its volume must be in A

If T’s volume is not in A, then any subassembly of A must include ALL or NONE of the parts in T

Page 19: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Non-Directional Blocking Graphs

Inclusion of Target Part Sets for Post-tools

To include T in a blocking graph, add bidirectional arcs between every pair of parts in T

We can search for removable subassemblies that satisfy post- tool constraints in polynomial time by looking for cells whose blocking graphs are weakly connected

Page 20: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Experimentation

Tool Feasibility Only 0-DOF tool feasibility has been implemented to date

Testing Geometric Tool Constraints Tool constraints were tested on three assemblies, including the “discriminator,” which requires 55 laser spot welds, 8 uses of a Phillips screwdriver, 4 uses of a hex L-wrench, 4 subassembly test, and one use of pliers Archimedes found a tool level assembly plan in 50 seconds on an SGI 100 MHz R4000 Indigo II Extreme Workstation

Page 21: Assembly Planning “A Framework for Geometric Reasoning About Tools in Assembly” Randall H. Wilson Presentation by Adit Koolwal & Julie Letchner

Conclusions

Framework can ultimately represent many tools

Framework can support multiple simultaneous tool applications

Future Extensions Allow for parameterized placement constraints as opposed to assuming fixed placement constraints

Allow for parameterized use volumes

Handle tool collisions