The Need for Remote Artificial Intelligence Control of Space-Based Construction Projects: Multi-Agent-Based Last Planners, Local Centralized Controllers, and Hybrid Solutions to Decision-Making

Abstract

Clearly the need for autonomous robots and automated systems is more critical for space construction than terrestrial construction work. It is the collective performance of these devices rather than their individual performances that should be optimized, which calls for the highest level of precision and coordination among all active agents in the field. The control and coordination of swarms of robots can be done through agent-based modeling which is a potentially effective method of coordinating multiple agents with complex behaviors without central control. This leads to a more efficient but complex workflow that minimizes collisions between robots, decreases their idle time, and reduces their travel distances for example. In this paper, the needs for new construction management techniques for space construction projects is discussed. Also, a discussion of the need for implementation of agent-based modeling, as an efficient decentralized coordination technique is presented.