Multi-Robot Task Handoff Using Real-Time Status Signals
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Solution Overview
Problem
Current AI agent collaboration methods lack efficient dynamic communication and task delegation mechanisms, leading to suboptimal task completion times and resource utilization in environments where multiple robots operate together.
Innovation Solution
A system and method for collaboration between robots, involving communication devices that receive instructions for task execution and sensor-equipped processors to manage task completion and charging, enabling decentralized learning and efficient task distribution among robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple robots operate independently without dynamic communication, then each robot can execute tasks autonomously, but task completion time increases and resource utilization decreases
Solution Approach 1:
The patent merges multiple independent robot systems into a collaborative network where robots share intelligence and coordinate tasks. The system combines individual robot capabilities with collective decision-making to achieve faster task completion than independent operation could provide.
Solution Approach 2:
The patent implements feedback mechanisms where robots continuously communicate task progress, status, and environmental information to the network. This real-time feedback enables dynamic task reassignment and coordination, reducing idle time and improving overall productivity.
2Reliability
If robots share intelligence and communicate continuously, then situational awareness and task delegation improve, but communication overhead and system complexity increase
Solution Approach 1:
The patent segments the communication system into modular components, with each robot having standardized communication interfaces. This segmentation allows individual robots to maintain simplicity while the collective system achieves high situational awareness through structured information exchange.
Solution Approach 2:
The patent implements universal communication protocols that enable robots to exchange multiple types of information (task status, environmental data, resource availability) through standardized interfaces. This universality reduces the need for specialized communication channels for each function.
3Productivity
If robots dynamically reassign tasks based on real-time status, then resource utilization improves, but coordination overhead and processing requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-defining task priorities, robot capabilities, and decision-making rules before dynamic reassignment occurs. This preparation reduces the computational burden during real-time coordination, as the system only needs to evaluate predefined criteria rather than perform complex optimization from scratch.
4Productivity
If robots operate in coordinated sequences with task delegation, then overall task efficiency improves, but task coordination complexity and communication requirements increase
Solution Approach 1:
The patent implements dynamic task coordination where the coordination structure adapts based on real-time robot status, task progress, and environmental conditions. Rather than fixed hierarchical control, the system dynamically adjusts coordination patterns to match current operational needs, reducing unnecessary complexity.
Data Source
AI summary
A system for collaboration between a first robot and a second robot, including: an application of a communication device configured to receive at least one input designating an instruction for the first robot to execute a first task and an instruction for the second robot to execute a second task after the first robot completes the first task; the first robot, including a medium storing instructions that when executed by a processor of the first robot effectuates operations including: actuating the first robot to execute the first task; and actuating the first robot to dock at a charging station upon completion of the first task; and the second robot including a medium storing instructions that when executed by a processor of the second robot effectuates operations including actuating the second robot to execute the second task upon receiving a signal indicating the first task is complete by the first robot.