Coverage Robot Beacon Navigation for Room Boundary Transitions
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Solution Overview
Problem
Autonomous coverage robots face challenges in navigating and maintaining boundaries between different areas without continuous human guidance, particularly in efficiently transitioning between rooms and avoiding collisions using existing navigation systems.
Innovation Solution
The implementation of a navigation system that includes a directional receiver on the robot and a navigation beacon, utilizing infrared signals for emission detection and alignment, allowing the robot to autonomously navigate and transition between areas by recognizing gateway and vectoring emissions, and employing a base station for docking and charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a navigation system with directional receiver and infrared signals is implemented, then the robot's autonomous navigation capability between areas is improved, but the device complexity increases
Solution Approach 1:
The patent replaces mechanical navigation methods with optical/infrared signal-based navigation. The directional receiver uses infrared sensors to detect emissions from navigation beacons, eliminating the need for complex mechanical mapping and obstacle detection systems. This substitution of mechanical systems with optical fields resolves the contradiction by achieving autonomous navigation through simpler sensor-based detection.
Solution Approach 2:
The patent introduces navigation beacons as intermediary elements that emit infrared signals to guide the robot. These beacons act as mediators between the robot's navigation system and the environment, providing clear directional cues through optical signals. This intermediary approach simplifies the robot's navigation task while maintaining high automation, resolving the contradiction between automation extent and device complexity.
2Measurement precision
If the robot uses directional receiver with component receivers for precise emission detection, then the measurement precision of emission direction is improved, but the device complexity increases
Solution Approach 1:
The directional receiver is segmented into multiple component receivers (first and second component receivers) positioned at different orientations. Each component receiver detects infrared emissions from a specific angular range. By segmenting the detection function across multiple simpler sensors rather than using one complex sensor, the system achieves high measurement precision while keeping individual components relatively simple.
Solution Approach 2:
Each component receiver is optimized for detecting emissions from specific local directions (different angular ranges). The first component receiver handles emissions from one angular sector while the second handles another sector. This local optimization allows each receiver to be simpler in design while collectively providing comprehensive directional detection precision across all angles.
3Reliability
If the robot employs both omni-directional and directional receivers for navigation, then the reliability of navigation system is improved, but the device complexity increases
Solution Approach 1:
The patent merges two different receiver types (omni-directional receiver and directional receiver) into a unified navigation system. The omni-directional receiver provides 360-degree emission detection for general orientation, while the directional receiver provides precise angular measurement for accurate positioning. This combination of complementary systems enhances overall navigation reliability by providing multiple independent detection capabilities that work together.
Solution Approach 2:
Both receiver types are integrated into a single navigation system that performs multiple functions: the omni-directional receiver handles general area detection and initial orientation, while the directional receiver handles precise positioning and alignment. This multi-functional integration allows the system to maintain high reliability across different navigation scenarios without requiring separate dedicated systems for each function.
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 robot to effectively traverse and clean within bounded areas, transition between rooms, and dock autonomously, enhancing its operational efficiency and safety by using directional and proximity emissions for navigation and boundary recognition.
Implementation Method 1
The conical reflector is disposed on an upper surface of the cavity to reflect emissions incident on the upper portion of the housing down into the cavity
Implementation Method 2
The receivers may be configured to receive transmissions of infrared light
Implementation Method 3
The gateway beam emitter is housed in the base and arranged to emit a beam in the cross-gateway direction
Data Source
AI summary
An autonomous mobile robot system for bounded areas including a navigation beacon and an autonomous coverage robot. The navigation beacon has a gateway beacon emitter arranged to transmit a gateway marking emission with the navigation beacon disposed within a gateway between the first bounded area and an adjacent second bounded area. The autonomous coverage robot includes a beacon emission sensor responsive to the beacon emission, and a drive system configured to maneuver the robot about the first bounded area in a cleaning mode in which the robot is redirected in response to detecting the gateway marking emission. The drive system is also configured to maneuver the robot through the gateway into the second bounded area in a migration mode.


