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Principle:ARISE Initiative Robosuite Action Vector Construction

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Overview

Mechanism for assembling a flat action vector from a structured action dictionary by concatenating per-part actions in the correct order for environment stepping.

Description

Robosuite robots may have multiple controllable parts (arm, gripper, mobile base, torso). Each part controller expects its own action sub-vector. The action dictionary from input2action() maps part names to their individual action arrays. create_action_vector() concatenates these in the order expected by the composite controller to form a single flat numpy array compatible with env.step().

Usage

Use in teleoperation loops between device.input2action() and env.step() to convert structured actions to flat vectors.

Theoretical Basis

Action space composition. Multi-part robots have composite action spaces. Each part contributes a sub-vector. The composite controller defines the ordering. Pseudocode only.

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