Unmanned Vehicle Cooperation via Negotiated Task Consensus
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Solution Overview
Problem
Existing systems face challenges in enabling smooth cooperation actions between unmanned vehicles and human intervention, as it is difficult for a person to grasp the operation of unmanned vehicles effectively.
Innovation Solution
An unmanned vehicle cooperation system that utilizes a decision-making model with a negotiation protocol to facilitate consensus building among agents, including unmanned vehicles and manned vehicles, allowing for cooperation actions through artificial intelligence and human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous action selection is implemented in each unmanned vehicle, then operational autonomy and decision-making speed are improved, but human understanding and intervention capability deteriorate
Solution Approach 1:
The patent introduces a mediator that translates autonomous decision-making processes into human-understandable information. The mediator receives action selection information from the autonomous system and converts it into formatted displays showing action contents, selection reasons, and alternative actions, bridging the gap between autonomous operation and human comprehension
Solution Approach 2:
The system implements feedback mechanisms where the mediator continuously provides information about autonomous vehicle decisions to human operators. This feedback loop includes displaying selected actions, reasoning behind selections, and alternative actions considered, enabling humans to understand and potentially intervene in autonomous decision-making
2Productivity
If complex cooperation actions are executed between multiple unmanned vehicles, then task capability and efficiency are improved, but coordination complexity and communication overhead increase
Solution Approach 1:
The patent segments the complex cooperation task into multiple sub-tasks and distributes them to different unmanned vehicles. The action selection information includes sub-task assignments and coordination requirements, allowing vehicles to execute complex tasks through coordinated simpler actions while reducing overall system complexity
Solution Approach 2:
The mediator serves multiple functions: it manages action selection, generates human-readable information, coordinates between vehicles, and handles intervention requests. This multi-functional approach consolidates coordination complexity into a single universal component rather than requiring complex point-to-point coordination between all vehicles
Data Source
AI summary
An unmanned vehicle cooperation system for a person to grasp the operation of an unmanned vehicle and to perform a smooth cooperation action with the unmanned vehicle. The unmanned vehicle cooperation system performs a cooperation action involving human intervention between a plurality of agents including an unmanned vehicle. The unmanned vehicle has a processing unit that performs an action processing of the unmanned vehicle with artificial intelligence using a decision making model established by including a plurality of tasks, the plurality of tasks include a cooperation task for performing the cooperation action, and the processing unit executes a consensus building processing that builds a consensus as to execution of the cooperation task between the agents using a negotiation protocol, and a cooperation action processing that executes the cooperation action of the unmanned vehicle on the basis of the consented cooperation task.