Robot Virtual Boundary Detection Using Image and Laser Cues
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Solution Overview
Problem
Existing methods for confining robotic devices are inefficient and impractical, requiring large memory storage for navigation systems, physical barriers that hinder movement, or aesthetically unpleasing and hazardous cables, which need substantial setup and reprogramming for different locations.
Innovation Solution
A robotic system using an image sensor and processor to detect predefined surface indentation patterns with a line laser diode, allowing the device to generate virtual boundaries and modify its movement within the environment, thereby confining or limiting its operation without the need for extensive memory or physical barriers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems with stored maps and predetermined paths are used to confine robotic devices, then the robot can be guided to specific areas, but large amounts of memory are required to store location information and the robot needs to be re-programmed for each new location
Solution Approach 1:
The patent uses visual copying by capturing images of the environment with an image sensor and creating a visual representation of boundaries. Instead of storing large amounts of navigational data in memory, the system captures real-time images and processes them to identify boundary components, effectively copying visual information rather than relying on pre-stored maps.
Solution Approach 2:
The patent replaces the mechanical/navigation system that relies on stored maps and predetermined paths with an optical system using image sensors and line laser diodes. The boundary detection is achieved through optical projection and image processing rather than through navigational algorithms that require extensive memory storage.
2Reliability
If physical barriers are used to block the robotic device from entering certain areas, then the robot is confined to specific spaces, but the barriers encumber routine movement and require substantial setup
Solution Approach 1:
The patent replaces physical mechanical barriers with an optical system consisting of a line laser diode and image sensor. The laser projects visual boundaries that the robot detects through image processing, eliminating the need for physical walls or barriers that would obstruct movement while maintaining effective boundary enforcement.
3Reliability
If cables or wires are installed to define the boundary area, then the robot can be confined to specific zones, but the cables are aesthetically unpleasing, create tripping hazards, and require difficult installation
Solution Approach 1:
The patent replaces physical cables or wires with an optical projection system. The line laser diode projects visible boundaries that can be easily adjusted and repositioned without installation complexity, eliminating tripping hazards and aesthetic issues while maintaining clear boundary definition for the robot.
4Reliability
If large physical barriers are used to confine the robotic device, then the robot is prevented from entering restricted areas, but the barriers encumber routine movement throughout the area of operation
Solution Approach 1:
The patent replaces large physical barriers with an optical boundary system that does not physically obstruct the robot's path. The line laser projects visual boundaries that the robot detects and avoids through image processing, allowing the robot to move freely within permitted areas without encumbrance while maintaining effective area confinement.
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 efficient and practical movement confinement of robotic devices by using existing environmental features to create virtual boundaries, reducing memory requirements and eliminating the need for extensive setup or reprogramming, while avoiding obstacles and maintaining operational efficiency across various locations.
Implementation Method 1
a line laser diode to project a line laser
Implementation Method 2
capturing, with an image sensor disposed on the robot, images of objects within an environment
Data Source
AI summary
A method for determining at least one action of a robot, including capturing, with an image sensor disposed on the robot, images of objects within an environment of the robot as the robot moves within the environment; identifying, with a processor of the robot, at least a first object based on the captured images; and actuating, with the processor, the robot to execute at least one action based on the first object identified, wherein the at least one action comprises at least generating a virtual boundary and avoiding crossing the virtual boundary.