Related Experiment Video
Updated: Sep 2, 2025

Robotic Sensing and Stimuli Provision for Guided Plant Growth
Published on: July 1, 2019
Distributed Averaging Problems of Agriculture Picking Multi-Robot Systems via Sampled Control
Fengying Ma1, Hui Yao1, Mingjun Du1
1School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Abstract:
Distributed control of agriculture picking multi-robot systems has been widely used in the field of smart agriculture, this paper aims to explore the distributed averaging problems of agriculture picking multi-robot systems under directed communication topologies by taking advantage of the sampled data. With the algebraic graph theory concepts and the matrix theory, a distributed protocol is proposed based on the nearest sampled neighbor information. It is shown that under the proposed protocol, the states of all agents can be guaranteed to reach average consensus whose value is the averaging of the initial states of all agents. Besides, when considering time-delay, the other distributed protocol is constructed, in which a time margin of the time-delay can be determined simultaneously. The necessary and sufficient consensus results can be developed even though the time delay exists. Simulation results are given to demonstrate the effectiveness of our developed consensus results.
More Related Videos
11:53The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Related Concept Videos
Distributed Loads: Problem Solving
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Multi-input and Multi-variable systems
In the absence...
Distribution Reliability and Automation
Sampling Methods: Overview
In analytical chemistry, the choice of...
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...