Toward the Concept of Robot Society: A Multi-Robot SLAM Case Study

2014 ◽  
pp. 57-66
Author(s):  
Micael S. Couceiro ◽  
Andria R. Lopes ◽  
N. M. Fonseca Ferreira ◽  
Anabela G. Ferreira ◽  
Rui Rocha
Keyword(s):  
Robot Society ◽  
Multi Robot

Ontology-based collaboration in multi-robot system: Approach and case study

2016 ◽  
Author(s):  
Alexander Smirnov ◽  
Alexey Kashevnik ◽  
Sergey Mikhailov ◽  
Mikhail Mironov ◽  
Mikhail Petrov
Keyword(s):  
System Approach ◽  
Robot System ◽  
Multi Robot

Enabling Multi-Robot Cooperative Additive Manufacturing: Centralized vs. Decentralized Approaches

2021 ◽  
Author(s):  
Saivipulteja Elagandula ◽  
Laxmi Poudel ◽  
Wenchao Zhou ◽  
Zhenghui Sha
Keyword(s):  
3D Printing ◽  
Large Scale ◽  
Small Scale ◽  
Scale Problem ◽  
Problem Case ◽  
Large Scale Problem ◽  
First Case ◽  
Novel Approach ◽  
Multi Robot

Abstract This paper presents a decentralized approach based on a simple set of rules to carry out multi-robot cooperative 3D printing. Cooperative 3D printing is a novel approach to 3D printing that uses multiple mobile 3D printing robots to print a large part by dividing and assigning the part to multiple robots in parallel using the concept of chunk-based printing. The results obtained using the decentralized approach are then compared with those obtained from the centralized approach. Two case studies were performed to evaluate the performance of both approaches using makespan as the evaluation criterion. The first case is a small-scale problem with four printing robots and 20 chunks, whereas the second case study is a large-scale problem with ten printing robots and 200 chunks. The result shows that the centralized approach provides a better solution compared to the decentralized approach in both cases in terms of makespan. However, the gap between the solutions seems to shrink with the scale of the problem. While further study is required to verify this conclusion, the decrease in this gap indicates that the decentralized approach might compare favorably over the centralized approach for a large-scale problem in manufacturing using multiple mobile 3D printing robots. Additionally, the runtime for the large-scale problem (Case II) increases by 27-fold compared to the small-scale problem (Case I) for the centralized approach, whereas it only increased by less than 2-fold for the decentralized approach.

Case Study of a Multi-robot Healthcare System: Effects of Docking and Metaphor on Persuasion

2010 ◽  
pp. 90-99 ◽  
Author(s):  
Osamu Sugiyama ◽  
Kazuhiko Shinozawa ◽  
Takaaki Akimoto ◽  
Norihiro Hagita
Keyword(s):  
Healthcare System ◽  
Multi Robot

Fuzzy coordination through measure information sharing of multi-robot system: A case study

2021 ◽  
pp. 1-8
Author(s):  
Xuefeng Dai ◽  
Jiazhi Wang ◽  
Dahui Li ◽  
Yanchun Wang
Keyword(s):  
Robot System ◽  
Fuzzy Membership Functions ◽  
System A ◽  
Parameter Update Law ◽  
Robot Systems ◽  
Potential Applications ◽  
The Individual ◽  
Logic Reasoning ◽  
Multi Robot

Multi-robot systems have many potential applications; however, the available results for coordination were based on qualitative information. Fuzzy logic reasoning has a feature of human being thinking, so a novel coordinated algorithm is proposed. The algorithm utilizes sharing sensing information of rooms and semantic robots to coordinating robots in a structured environment exploration. The approach divides all teammate robots into two classes according to robot exploration performance, and divides rooms into large, medium and small ones according to estimations of the individual areas. On the purpose of minimizing exploration time of the system, the reasoning coordination assigns large room to good performance robot, and vice versa. A parameter update law is introduced for fuzzy membership functions. Finally, the results are validated by computer simulations for a structured environment.

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