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Integration/Computation,
AI, & Multi-agent Techniques for Planning Robotic Operations
Computation, AI,
& Multi-agent Techniques for Planning Robotic Operations
Planning of
robotic operations in discrete product manufacturing involves
two stages:
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A
system-independent identification of one or more ways in
which the product is put together (process planning)
-
A
system-dependent determination of which machine performs
which task (execution planning, or sequencing & scheduling).
The execution
planning strategies are based on computational techniques,
artificial intelligence-based search methods, & game-theoretic
multi-agent cooperation planning techniques.
Assembly
planning is defined as the process of interpreting design
information into assembly process information. The various steps
that constitute the assembly planning process include:
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Interpretation of assembly design data
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Selection
of assembly processes
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Selection
of assembly process parameters
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Selection
of assembly equipment/system
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Selection
of auxiliary equipment
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Assembly
sequencing
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Selection
of inspection devices
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Calculation
of assembly times
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