Work

Multiple UAV cooperative path planning via neuro-dynamic programming

Year: 2004

Type: conference-paper

Abstract: In this paper, a team of n unmanned air-vehicles (UAVs) in cooperative path planning is given the task of reaching the assigned target while i) avoiding threat zones ii) synchronizing minimum time arrivals on the target, and iii) ensuring arrivals coming from different directions. We highlight three main contributions. First we develop a novel hybrid model and suit it to the problem at hand. Second, we design consensus protocols for the management of information. Third, we synthesize local predictive controllers through a distributed, scalable and suboptimal neuro-dynamic programming (NDP) algorithm.

Source: IEEE Conference on Decision and Control (CDC)

DOI: 10.1109/cdc.2004.1428837

Authors: D. Bauso, L. Giarre, R. Pesenti

Institution: University of Palermo

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2096574992

FWCI: 0.249

Cites: 9

Cited by: 35

Related to: 10