Robot Behavior Tree Standardization for Cross-Platform Reuse
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Solution Overview
Problem
The lack of a standardized method for representing robot behavior trees leads to varying data structures among robotics development companies, resulting in reduced reusability, compatibility, and development efficiency due to the use of unique JSON or XML formats.
Innovation Solution
A robot control apparatus and method that transforms and obtains behavior trees into a standardized format using a behavior tree abstraction model, applying parameters to identify and generate a standard behavior tree, allowing for verification and editing through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If each robotics development company uses its own unique JSON or XML format to represent behavior trees, then the behavior trees can be customized for specific development environments and purposes, but reusability, compatibility, and development efficiency are reduced
Solution Approach 1:
The patent defines a universal behavior tree data structure with standardized fields (node_id, parent_id, node_type, name, description, parameters, children) that can be used across different robotics development companies and platforms. This universal structure enables behavior trees to be reused and exchanged between different development environments while maintaining compatibility, thus improving development efficiency without sacrificing the ability to customize specific behavior parameters.
2Adaptability or versatility
If each robotics development company uses its own unique JSON or XML format to represent behavior trees, then the behavior trees can be customized for specific development environments and purposes, but compatibility is reduced
Solution Approach 1:
The standardized behavior tree structure serves as a common language that ensures compatibility across different robotics platforms and development companies. The universal fields (node_id, parent_id, node_type, name, description, parameters, children) create a consistent framework that maintains reliability when behavior trees are exchanged or reused between different systems, while still allowing customization through the parameters field.
3Adaptability or versatility
If various data formats (JSON, XML) and unique company formats are used to represent behavior trees, then flexibility in representation is improved, but a standardized interpreter cannot be present
Solution Approach 1:
The patent enforces homogeneity by defining a uniform behavior tree data structure that all companies should adopt. The standardized fields (node_id, parent_id, node_type, name, description, parameters, children) ensure that behavior trees from different sources have the same structure, enabling a single standardized interpreter to process them without needing to handle multiple format variations, thus reducing interpreter complexity.
4Adaptability or versatility
If behavior trees are represented in unique company formats without standardization, then each company can optimize for its specific needs, but reusability is reduced
Solution Approach 1:
The standardized behavior tree structure with universal fields (node_id, parent_id, node_type, name, description, parameters, children) enables behavior trees to be reused across different projects and companies. The structure maintains flexibility through the parameters field which can be customized for specific needs, while the consistent framework ensures reusability and interchangeability of behavior trees between different robotics platforms.
Data Source
AI summary
A robot control apparatus can include a memory storing computer-executable instructions and at least one processor that accesses the memory and executes the instructions. The at least one processor can obtain a standard behavior tree satisfying a target format, from a behavior tree, based on a behavior tree abstraction model applied to interpretation of the behavior tree, store a robot scenario paired with the standard behavior tree in the memory, and verify validation of the standard behavior tree, based on nodes included in the standard behavior tree and an edge between the nodes included in the standard behavior tree.