Mobile Robot Surveillance With Semantic Mapping and RFID Patrols
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Solution Overview
Problem
The integration of robots in commercial and industrial settings, particularly in environments requiring frequent human-robot interactions, is hindered by the lack of technologies that effectively address security, infrastructure management, navigation, and communication needs.
Innovation Solution
A mobile robot system designed for commercial and industrial settings, equipped with sensors, communication interfaces, and a central system, capable of performing security operations, infrastructure management, navigation, and human interaction, including patrolling, anomaly detection, and inventory management, using a fabric housing for flexibility and ease of replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots are integrated into commercial and industrial settings for security and infrastructure management, then operational efficiency and safety are improved, but device complexity and difficulty of detecting and measuring security anomalies increase
Solution Approach 1:
The robot system is divided into separate functional modules: navigation system for movement and mapping, sensor system for environmental perception, communication system for data transmission, and processing system for decision-making. This segmentation allows each module to be optimized independently while working together to achieve overall operational efficiency.
Solution Approach 2:
A central system serves as an intermediary between multiple robots and the building infrastructure. This central coordinator manages communication between robots, processes data from various sensors, and coordinates security operations, reducing the complexity burden on individual robot units.
2Measurement precision
If multiple sensors and systems are integrated into the robot for comprehensive surveillance, then measurement precision and detection capability are improved, but device complexity increases
Solution Approach 1:
Multiple sensor types (cameras, microphones, motion detectors, environmental sensors) are merged into a unified sensor system that operates under centralized control. The processing system integrates data from all sensors to detect security anomalies, achieving comprehensive surveillance precision while managing complexity through unified architecture.
Solution Approach 2:
The robot system is designed with multi-functional capabilities: navigation and mapping, security surveillance, infrastructure monitoring, and human interaction. This universality allows a single integrated system to perform multiple functions that would otherwise require separate systems, improving detection precision without proportionally increasing complexity.
3Adaptability or versatility
If the robot communicates with building infrastructure and security systems, then adaptability and coordination are improved, but device complexity and ease of operation worsen
Solution Approach 1:
A central system acts as an intermediary layer between the robot and building infrastructure systems. This intermediary handles the complexity of communication protocols and coordination logic, allowing the robot to interact with multiple infrastructure systems (security cameras, access control, lighting) without requiring complex operation from the robot itself.
Solution Approach 2:
The system implements feedback mechanisms where the robot receives status information from building infrastructure systems and adjusts its behavior accordingly. Security systems provide feedback on detected anomalies, infrastructure systems provide feedback on operational status, enabling the robot to adapt its surveillance and response actions based on real-time conditions.
Data Source
AI summary
A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.