Surface Markers for Robotic Navigation and Task Execution
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Solution Overview
Problem
Robotic systems lack efficient and intuitive methods for navigating and performing tasks in diverse indoor environments, particularly in identifying and responding to various surface attributes of objects, which limits their operational efficiency and safety.
Innovation Solution
The implementation of a robotic system equipped with sensors capable of detecting surface markers, such as infrared reflective stickers, RFID tags, or chemical sprays, that indicate specific surface attributes, allowing the system to perform tasks accordingly based on predefined attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic systems use traditional sensing and navigation methods, then they can operate in environments, but they lack efficiency and cannot intuitively identify surface attributes of objects
Solution Approach 1:
The patent introduces surface markers as intermediary elements that are placed on objects to convey surface attribute information. These markers act as mediators between the physical surface properties and the robotic system's sensors, enabling efficient detection and interpretation of surface attributes without requiring complex sensor systems or algorithms.
Solution Approach 2:
The surface markers serve as simplified copies or representations of surface attributes. Instead of directly analyzing complex surface properties, the robotic system detects these marker copies that encode the essential attribute information, significantly reducing the difficulty of detection and measurement while improving operational efficiency.
2Measurement precision
If robotic systems equip complex sensors to identify surface attributes, then detection capability improves, but computational power requirements increase
Solution Approach 1:
The surface markers provide simplified visual copies of surface attribute information that can be detected by standard camera sensors. This approach maintains high measurement precision for surface attribute identification while avoiding the need for complex computational algorithms, thereby reducing energy consumption and computational power requirements.
Solution Approach 2:
The patent transforms surface attribute information into visual parameters through surface markers with distinct colors, patterns, or shapes. This parameter transformation allows standard vision sensors to accurately detect surface attributes using simple image processing, significantly reducing computational power usage compared to direct physical property measurement.
3Adaptability or versatility
If robotic systems use general task performance methods, then they can operate in various environments, but they lack task-specific efficiency
Solution Approach 1:
The surface markers provide localized quality information about specific surfaces and objects. Each marker encodes surface attributes relevant to particular tasks, allowing the robotic system to adapt its behavior locally based on the detected marker type. This enables task-specific efficiency while maintaining environmental versatility through the universal marker detection framework.
Solution Approach 2:
The system uses parameter-encoded surface markers that convey specific task-relevant information about surface attributes. By detecting and interpreting these parameter changes in markers, the robotic system can efficiently determine appropriate tasks for different surfaces and objects, achieving both environmental adaptability and task-specific efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the robotic system to navigate and perform tasks with increased efficiency and safety by accurately identifying and responding to different surface attributes, minimizing computational power usage and enhancing task-specific operations in various environments.
Implementation Method 1
detecting, using one or more sensors of the robotic system, a surface marker
Data Source
AI summary
An example implementation includes operating a robotic system in an environment. The implementation also includes detecting, using one or more sensors of the robotic system, a surface marker at a first location in the environment. The implementation also includes determining that the detected surface marker indicates the presence of an object having a first surface attribute at the first location, wherein the first surface attribute is one of a plurality of predefined surface attributes. The implementation also includes determining one or more tasks that correspond to the first surface attribute in response to determining that the surface marker indicates the object having the first surface attribute. The implementation also includes causing the robotic system to perform the one or more tasks with respect to the object.