Communication Control Server for Telepresence Robot Path Recommendation
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Solution Overview
Problem
Existing communication systems for remote operation of telepresence robots in exhibition halls lack efficient methods to recommend optimal movement paths and resource allocation based on historical data, leading to suboptimal user experiences and resource utilization.
Innovation Solution
A communication control server that stores and analyzes movement history data of remotely operated mobile apparatuses to provide recommendations for optimal places and resource allocation, enhancing user experience and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote operation of telepresence robots is implemented in exhibition halls, then users can observe the exhibition hall from remote sites, but the system lacks efficient methods to recommend optimal movement paths and resource allocation based on historical data
Solution Approach 1:
The system stores movement history data of robots and uses this feedback to generate recommended movement paths and resource allocation strategies. The communication control server analyzes historical data and provides recommendations to communication terminals, enabling the system to learn from past operations and improve future performance.
Solution Approach 2:
The system performs preliminary analysis of movement history data to determine recommended places and paths before actual robot operation occurs. This allows the system to prepare optimal routes and resource allocations in advance, improving operational efficiency without adding real-time computational complexity.
2Productivity
If movement history data is stored and analyzed to provide recommendations, then user experience and resource utilization improve, but data storage and processing requirements increase
Solution Approach 1:
The system extracts only the necessary movement history data and key information from the robot operations. Instead of storing all raw data, the system selectively stores and processes only the essential movement paths, timestamps, and location information needed for generating recommendations, thereby reducing data storage requirements while maintaining analytical capability.
Solution Approach 2:
The system processes and analyzes only the partial movement history data that is relevant for generating recommendations, rather than processing all available data. This selective processing approach reduces computational load and storage requirements while still providing effective recommendation functionality.
3Productivity
If recommended places are provided based on movement history, then congestion is reduced and operational efficiency is enhanced, but the system complexity increases
Solution Approach 1:
The communication control server acts as an intermediary between the communication terminals and the robots. It receives operation requests from terminals, analyzes movement history data, determines recommended places, and transmits these recommendations back to the terminals. This intermediary role distributes system complexity to a centralized server, keeping individual terminal devices simple while enabling intelligent recommendation functionality.
Data Source
AI summary
A communication control server includes circuitry to store, in a memory, movement history of one or more mobile apparatuses that have moved by remote operation from one or more communication terminals. Each of the one or more mobile apparatuses is movable in a real space and remotely operable by one of the one or more communication terminals. The circuitry provides, to a predetermined communication terminal of the one or more communication terminals, a recommended place determined based on the movement history, the predetermined communication terminal being currently performing remote operation of one of the one or more mobile apparatuses.