Cooperative Robot Formation Control for Synchronized Transport
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Solution Overview
Problem
Current industrial applications using single mobile robots for collaborative transport face challenges in efficiently forming and maintaining geometric patterns for transporting objects, especially in dynamic environments with obstacles, and often rely on complex sensory capabilities and centralized control systems.
Innovation Solution
A distributed framework that utilizes local sensing capabilities and ultra-low latency wireless communication for mobile robots to form and maintain geometric patterns without a global coordinate system, allowing for robust and stable formation synthesis and control, with leader election and follower recruitment based on energy and distance considerations, and adaptive reconfiguration in response to obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized control systems and complex sensory capabilities are used for multi-robot transport, then formation control capability is improved, but system complexity and cost increase
Solution Approach 1:
The system divides control functions into two segments: a leader robot that performs complex computation and formation planning, and follower robots that execute simplified local control tasks. This segmentation allows formation control capability while reducing the computational burden and complexity for individual follower robots.
Solution Approach 2:
The leader robot acts as an intermediary between the global task objective and the individual follower robots. It translates high-level transport goals into specific geometric configuration instructions that followers can execute with simple local sensing, thereby enabling complex formation control without requiring complex sensors on each robot.
2Ease of manufacture
If multiple identical robots are used for cooperative transport, then cost and maintainability are improved, but formation stability in dynamic environments deteriorates
Solution Approach 1:
The system implements dynamic formation adjustment where the leader robot continuously computes and updates geometric configuration instructions based on real-time environmental conditions and robot positions. This dynamic reconfiguration capability maintains formation stability even when using identical, simple robots in dynamic environments with obstacles.
Solution Approach 2:
The system employs feedback mechanisms where follower robots report their positions and status to the leader, which then adjusts the geometric configuration instructions accordingly. This closed-loop control ensures formation stability while using multiple identical, cost-effective robots that can adapt to changing environmental conditions.
3Use of energy by moving object
If distributed decision-making is implemented, then energy consumption is reduced, but coordination efficiency worsens
Solution Approach 1:
The system segments decision-making authority: the leader robot handles complex coordination and planning decisions that require high computational energy, while follower robots execute pre-defined geometric configurations with minimal local decision-making. This segmentation reduces overall energy consumption by avoiding redundant complex computations on each robot while maintaining coordination efficiency through centralized leadership.
Data Source
AI summary
A method performed in a system comprising a plurality of autonomous vehicles. The method comprises a first vehicle transmitting a geometric configuration information to be adopted by one or more other vehicles participating in a transport operation in combination with the first vehicle, wherein the geometric configuration information comprises information regarding respective distances and orientations the one or more other vehicles are required to adopt relative to the first vehicle, a second vehicle, upon receipt of the geometric configuration information, adopting a position relative to the first vehicle or to a further vehicle participating in the transport operation, the position of the second vehicle defined by the geometric configuration information and the first and second vehicles performing a transport operation in a synchronised manner once the second vehicle has adopted said position.