Command Robot Mediating Multi-Robot Sensory Data
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Solution Overview
Problem
Current cloud computing systems lack efficient methods for coordinating tasks between robots with different sensing capabilities, limiting their ability to effectively assess and interact with their environment and users.
Innovation Solution
A command robot communicates with multiple client robots through a cloud computing system, analyzing data from their diverse sensing capabilities to determine command functions and allocate tasks based on their capabilities, enabling coordinated action and interaction with users and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a command robot coordinates multiple client robots with different sensing capabilities through a cloud computing system, then task allocation efficiency and environmental assessment capability are improved, but system complexity and communication overhead increase
Solution Approach 1:
The patent introduces a command robot as an intermediary that receives sensory data from multiple client robots with different sensing capabilities, processes the data to determine command functions, and allocates tasks accordingly. This mediator structure enables efficient coordination of heterogeneous robots while managing system complexity through centralized intelligence rather than requiring complex peer-to-peer communication protocols between all robots.
2Adaptability or versatility
If diverse sensing capabilities are utilized across client robots, then environmental assessment capability and task performance are improved, but data integration complexity and processing requirements increase
Solution Approach 1:
The command robot serves multiple functions: it receives data from various sensing capabilities (cameras, microphones, sensors), processes this diverse information, determines appropriate command functions, and allocates tasks to suitable client robots. This multi-functional approach allows the system to leverage diverse sensing capabilities without requiring each robot to independently handle all types of data integration and processing.
Data Source
AI summary
Multirobotic management can involve communications between a command or leader robot and one or more client or follower robots through a cloud computing system. In an example implementation, a leader robot can receive first sensory data captured by a first follower robot and second sensory data captured by a second follower robot, determine a command function based on at least one of the first sensory data and the second sensory data, and communicate with at least one of the first follower robot and the second follower robot based on the command function.