Neural networks-based adaptive bidding with the contract net protocol in multi-robot systems

2008 ◽  
Vol 31 (3) ◽  
pp. 347-362 ◽  
Author(s):  
Jonathan A. Kensler ◽  
Arvin Agah
2012 ◽  
Vol 463-464 ◽  
pp. 1238-1241 ◽  
Author(s):  
Irina Lolu ◽  
Aurelian Stanescu ◽  
Mihnea Moisescu ◽  
Ioan Stefan Sacala

The continuous growing of application’s complexity and increased interest in automated negotiation brought recently researcher’s attention to persuasive negotiation (PN) and argumentation-based negotiation (ABN). The Market-based approach has gained popularity in the last decade due to its flexibility, speed and robustness. Contract Net protocol inspired algorithms have been proved suitable for allocating weakly coupled tasks in robot teams, but there are still some challenges when addressing complex application in uncertain environments. In this context the purpose of the paper is to present a method to allocate tasks in multi-robot systems through the use of augmentation- based negotiation.


2012 ◽  
Vol 13 (1) ◽  
pp. 6-14 ◽  
Author(s):  
Aleksis Liekna ◽  
Egons Lavendelis ◽  
Arvids Grabovskis

Abstract - This paper focuses on the experimental analysts of Contract NET protocol for Multi-Robot task allocation. The problem domain consists of multiple vacuum cleaning robots that need to cooperate for cleaning an area that is beyond the capabilities of a single robot. A robot simulator has been used to experiment with various area and robot locations, and the summary of the effort required to process the tasks has been recorded. Experimental results show that using Contract NET protocol alone is not sufficient to achieve optimal results in task allocation. A more advanced strategy with or without involving the Contract NET protocol is required. Possible strategies are outlined and their analysis is the subject of the future work.


2021 ◽  
Vol 6 (2) ◽  
pp. 1327-1334
Author(s):  
Siddharth Mayya ◽  
Diego S. D'antonio ◽  
David Saldana ◽  
Vijay Kumar

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