18537707. COMPILING ROBOT BEHAVIOR TREES simplified abstract (Intrinsic Innovation LLC)
Contents
COMPILING ROBOT BEHAVIOR TREES
Organization Name
Inventor(s)
Timothy Robert Kelch of San Jose CA (US)
Tim Niemueller of Gauting (DE)
COMPILING ROBOT BEHAVIOR TREES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18537707 titled 'COMPILING ROBOT BEHAVIOR TREES
Simplified Explanation: The patent application describes methods, systems, and apparatus for translating behavior trees into a target programming language for robotic processes.
Key Features and Innovation:
- Translation of behavior trees into source code of a target language.
- Mapping between action node types and target language primitives.
- Generation of output code for robotic process execution.
Potential Applications: This technology can be applied in robotics, automation, artificial intelligence, and programming industries.
Problems Solved:
- Streamlining the translation process of behavior trees into executable code.
- Enhancing the efficiency of robotic process programming.
Benefits:
- Improved accuracy in translating behavior trees.
- Simplified development of robotic processes.
- Increased productivity in programming robotic systems.
Commercial Applications: The technology can be utilized in manufacturing, logistics, healthcare, and other industries requiring robotic automation solutions.
Prior Art: Readers can explore prior research on behavior tree translation, robotic programming languages, and automation systems.
Frequently Updated Research: Stay informed about advancements in behavior tree translation algorithms, robotic programming methodologies, and automation technologies.
Questions about behavior tree translation: 1. How does this technology improve the efficiency of robotic process programming? 2. What are the potential applications of behavior tree translation in different industries?
Original Abstract Submitted
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.
