Autonomous Motion Planning With Hierarchical Principle Logic
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Solution Overview
Problem
Current autonomous motion planning systems lack the ability to effectively integrate logical expressions derived from various principles, such as laws, regulations, ethics, and environmental conditions, to guide motion actions in a structured and prioritized manner, leading to inefficient decision-making and potential deviations from intended paths.
Innovation Solution
A method that analyzes data associated with basic principles to generate logical expressions, which are then organized into priority groups and hierarchies, allowing for the evaluation and selection of motion actions based on deviation metrics, such as energy consumption or financial loss, to ensure compliance with proper actions and minimize deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple basic principles (laws, regulations, ethics, environmental conditions) are integrated to guide motion actions, then compliance and safety are improved, but system complexity increases due to the need to organize and prioritize multiple logical expressions
Solution Approach 1:
The patent segments multiple basic principles into distinct logical expressions, each representing a specific principle (law, regulation, ethical guideline, or environmental condition). These segmented logical expressions are then organized into a hierarchical structure with priority levels, allowing the system to manage complexity by breaking down the overall decision-making process into manageable, prioritized components.
Solution Approach 2:
The patent introduces a hierarchical dimension to organize logical expressions vertically by priority level. This dimensional organization transforms a potentially chaotic set of multiple principles into a structured hierarchy where higher-priority principles override lower-priority ones, resolving conflicts systematically and reducing the cognitive load on the motion planning system.
2Productivity
If logical expressions are organized into priority groups and hierarchies for structured decision-making, then decision-making efficiency is improved, but the complexity of organizing and evaluating logical expressions increases
Solution Approach 1:
The patent applies preliminary action by pre-organizing logical expressions into priority groups and hierarchical structures before the actual motion planning process. This preprocessing step establishes the evaluation framework in advance, so that during runtime, the system only needs to evaluate expressions within the pre-defined hierarchical structure, significantly improving decision-making efficiency while managing complexity through prior organization.
Solution Approach 2:
The patent applies local quality by allowing different evaluation criteria and metrics to be applied at different levels of the hierarchy. Higher-priority logical expressions may use different evaluation metrics than lower-priority ones, enabling the system to optimize decision-making efficiency locally at each hierarchical level while maintaining overall system coherence.
3Productivity
If deviation metrics (energy consumption, financial loss) are used to evaluate and select motion actions, then operational efficiency is improved, but the complexity of evaluating and comparing multiple metrics increases
Solution Approach 1:
The patent transforms multiple different deviation metrics (energy consumption, financial loss, time) into a unified evaluation framework by changing their representation parameters. Each metric is normalized and weighted according to its importance and the current operational context, allowing the system to compare and evaluate diverse metrics using a common parameter scale, thereby improving operational efficiency while managing evaluation complexity through parameter standardization.
Data Source
AI summary
Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.