Mobile Robot Surveillance With Semantic Mapping and RFID Patrols
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Solution Overview
Problem
The adoption of robots in commercial and industrial settings, particularly in environments requiring frequent human interactions, is hindered by the lack of technologies that effectively integrate robot communication with building infrastructure and security systems for enhanced security and operational efficiency.
Innovation Solution
A mobile robot system that integrates security operations, infrastructure management, navigation, and human interaction capabilities, equipped with sensors and communication interfaces to patrol buildings, detect security anomalies, and interact with central systems and infrastructure, using a fabric housing for flexibility and ease of maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a mobile robot is deployed for security operations in commercial and industrial settings, then security monitoring capability is improved, but integration with building infrastructure and security systems is insufficient
Solution Approach 1:
The mobile robot is designed with multi-functional capabilities including security monitoring, infrastructure management, navigation, and human interaction. The robot integrates multiple sensor types (cameras, microphones, environmental sensors) and communication interfaces to perform diverse functions across different operational contexts, making it adaptable to various building infrastructure systems and security protocols.
Solution Approach 2:
The robot serves as an intermediary device between security personnel and the physical environment. It captures sensory data from the environment, processes it through onboard systems, and communicates findings to central monitoring systems or security personnel, thereby mediating between human operators and the monitored space.
2Adaptability or versatility
If the robot is equipped with multiple sensors and communication interfaces for enhanced functionality, then operational capability is improved, but device complexity increases
Solution Approach 1:
The robot's sensor suite and communication interfaces are organized into distinct functional modules. Sensors are grouped by type (visual, auditory, environmental) and communication interfaces are segmented by protocol and purpose. This modular segmentation allows for easier maintenance, troubleshooting, and selective activation of specific subsystems based on operational requirements.
3Measurement precision
If the robot autonomously patrols and monitors building areas, then security detection capability is improved, but response time to security anomalies may be delayed without real-time communication
Solution Approach 1:
The robot incorporates real-time communication capabilities that provide continuous feedback to central monitoring systems and enable two-way communication. When security anomalies are detected, the robot immediately transmits alerts and can receive real-time instructions, creating a closed-loop feedback system that reduces response time while maintaining detection accuracy.
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.