Behavior Tree Compilation for Cross-Robot Code Generation
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Solution Overview
Problem
Traditional robotic planning requires immense manual programming, which is tedious, time-consuming, and error-prone, and robotic programs are generally not transferable across different robot types or models.
Innovation Solution
A robotic system uses event-driven behavior trees that can be compiled into hardware-specific code, allowing for the translation of a hardware-agnostic behavior-tree representation into executable code for various robot models, enabling intuitive and efficient robotic process development and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual programming is used to dictate robotic movements, then precise control of robot actions can be achieved, but the programming process becomes tedious, time-consuming, and error-prone
Solution Approach 1:
The patent introduces behavior trees as an intermediary layer between high-level task specifications and low-level robotic control. The behavior tree compiler automatically translates behavioral specifications into executable control code, eliminating manual programming while maintaining precise control through structured node-based representations of robot actions and conditions.
Solution Approach 2:
The patent replaces manual programming mechanics with automated compilation mechanics. Instead of programmers manually writing control code, a compiler automatically generates control instructions from behavior tree specifications, substituting the manual programming process with an automated translation process that reduces time and errors.
2Reliability
If robotic programs are developed for a particular robot model, then specific robot tasks can be executed, but the programs cannot be used on different robot types or models, requiring duplication of effort
Solution Approach 1:
The patent creates a universal behavior tree compilation system that can generate code for multiple robot types and models through a common interface. The behavior tree representation serves as a model-agnostic specification that the compiler adapts to target-specific hardware, enabling one behavior tree to control different robot platforms without rewriting the core behavioral logic.
Solution Approach 2:
The patent segments the robotic control system into two independent parts: the behavior tree specification (which is model-agnostic) and the target-specific execution code (which handles hardware differences). This segmentation allows the behavioral logic to remain universal while the compilation process adapts to specific robot models, eliminating the need to duplicate programming effort across different platforms.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for translating behavior trees into a target programming language. One of the methods includes receiving a request to translate a behavior tree representing a robotic process into source code of a target language of a target execution system, wherein the behavior tree has links representing parent-child relationships, wherein leaf nodes of the behavior tree are action nodes, and parent nodes of the behavior tree are control nodes. Using a mapping between action node types and target language primitives for the target language, a traversal of the behavior tree generates output code having one or more target language primitives in the target language that, when executed by the target execution system, causes a robot to perform the robotic process.