Industrial Mission Map Rendering by Action Granularity
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Solution Overview
Problem
Existing techniques inhibit or prevent efficiently adding mission actions to existing missions or creating new missions in industrial environments, as they fail to overlay mission actions on facility maps and do not indicate the granularity with which they are defined, making it difficult for operators to identify relevant actions.
Innovation Solution
Implementations overlay mission actions on industrial environment maps, rendering them based on metadata that reflects their granularity, allowing operators to quickly identify and select actions for addition to existing or new missions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mission actions are not overlaid on facility maps, then the system complexity remains low, but operators cannot efficiently identify and select relevant mission actions
Solution Approach 1:
The patent overlays mission actions onto a two-dimensional facility map, transforming the way mission actions are presented. Instead of listing actions in a flat, text-based interface, they are spatially distributed across a map according to their physical locations in the facility. This dimensional transformation allows operators to visually identify and select relevant mission actions based on their spatial context, dramatically improving ease of operation.
2Loss of information
If mission actions are displayed with full granularity details, then operators can identify relevant actions more easily, but the information display becomes overly complex and difficult to interpret
Solution Approach 1:
The patent applies different levels of information detail to different mission actions based on their specific characteristics and relevance. Each mission action marker on the map can display different types of information (robot pose details, camera pose details, sensor data) depending on the action's granularity level. This local differentiation allows operators to see sufficient detail to identify relevant actions without being overwhelmed by uniform complexity across all displays.
3Measurement precision
If operators manually review all mission actions to select relevant ones, then selection accuracy improves, but the time required for mission customization increases significantly
Solution Approach 1:
The system performs preliminary organization of mission actions by overlaying them on the facility map according to their spatial locations and metadata characteristics before the operator needs to select them. This preliminary spatial arrangement and metadata association enables operators to quickly scan and identify relevant actions based on location and properties, dramatically reducing the time required for mission customization while maintaining high selection accuracy.
4Adaptability or versatility
If the system supports multiple robots with different payloads and mission types, then system versatility improves, but the complexity of managing and organizing mission actions increases
Solution Approach 1:
The facility map overlay system serves as a universal interface that can display and manage mission actions for multiple different robot types and payloads simultaneously. The system accommodates diverse mission actions (inspection, measurement, monitoring) from various robots by representing them uniformly on the same map with standardized markers that incorporate robot-specific metadata. This universal representation approach enables the system to handle high versatility without proportionally increasing management complexity.
Data Source
AI summary
Implementations relate to rendering mission action(s) in dependence on metadata associated with mission actions for an industrial environment. The rendered mission action(s) can include a first mission action rendered in a first manner and a second mission action rendered in a second manner different from the first manner. For example, the first mission action can be rendered with first graphical features based on first metadata of the first mission action being in a first level of granularity (e.g., the first metadata specifying a robot pose and a camera pose). The second mission action can be rendered with second graphical features based on second metadata of the second mission action being in a second level of granularity (e.g., the second metadata specifying a robot pose but no camera pose). Additionally or alternatively, the one or more mission actions can be rendered based on user input, and/or can be rendered in response to detecting a particular object or event.