Ruchir Patel — accepted AI-conference papers

2020

Decentralized Task Allocation in Multi-Agent Systems Using a Decentralized Genetic Algorithm

Ruchir Patel, Eliot Rudnick-Cohen, Shapour Azarm, Michael Otte, Huan Xu, Jeffrey W. Herrmann

ICRA 2020poster

In multi-agent collaborative search missions, task allocation is required to determine which agents will perform which tasks. We propose a new approach for decentralized task allocation based on a decentralized genetic algorithm (GA). The approach parallelizes a genetic algorithm across the team of…

Cited by 66 Source ↗Scholar ↗

2020

Experimental Comparison of Decentralized Task Allocation Algorithms Under Imperfect Communication

Sharan Nayak, Michael W. Otte, Suyash Yeotikar, Estefany Carrillo, Eliot Rudnick-Cohen, Mohamed Khalid M. Jaffar +4

RA-L 2020

We compare the performance of five state of the art decentralized task allocation algorithms under imperfect communication conditions. The decentralized algorithms we consider are CBAA, ACBBA, DHBA, HIPC and PI. All algorithms are evaluated using three different models of communication, including th

Cited by 47 Source ↗Scholar ↗