EFFICIENT AND FAIR DECENTRALIZED TASK ALLOCATION ALGORITHMS FOR AUTONOMOUS VEHICLES
Abstract
The proposed project aims at improving the efficiency of the multi-agent decentralized allocation with considerations in computation, communication, strategic, fairness and adaptability for real-life applications. Auction-based method such as the Consensus-based auction algorithm (CBAA) are effective methods for decentralized task assignment with bounded optimality and guaranteed convergence. The methods have very few theoretical guarantees in terms of approximation of the global objectives such as maximizing welfare or minimizing costs. The goals of the project include extending existing approaches to cater for more general feasibility constraints and achieving desirable approximation guarantees.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 11, 2021
- Source ID
- FA23862014063
Entities
People
- Haris Aziz
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of New South Wales