Integrated Optimization of Simultaneous Target Assignment and Path Planning for Aerial Robot Swarm DOI

Yunes Alqudsi

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)

Published: Oct. 29, 2024

Language: Английский

Evaluation of Intelligent Auxiliary Information Presentation Mode for Collaborative Flight Formation DOI Creative Commons
Xiyue Wang, Liping Pang,

Dan Miao

et al.

Aerospace, Journal Year: 2025, Volume and Issue: 12(1), P. 57 - 57

Published: Jan. 16, 2025

Collaborative flight formations represent a promising operational model, but the integration of multi-source information in manned interfaces often results cognitive overload and reduced situation awareness. This study evaluates effectiveness intelligent auxiliary presentation modes enhancing personnel capabilities. Using simulation-based collaborative formation system, four with varying levels dynamics were experimentally tested evaluated across subjective dimensions (cognitive workload, awareness, interface design) objective (design task flow load load). The indicate that Level 3 4 significantly mental workload improved practical ability compared to original mode. achieved highest evaluation scores, while demonstrated lowest design load. Both enhanced Altogether, resulted most significant improvements These findings provide valuable insights for optimizing improving awareness tasks.

Language: Английский

Citations

0

Analyzing the Impact of Information Asymmetry on Strategy Adaptation in Swarm Robotics: A Game-Theoretic Approach DOI Open Access
Yi Sun, Ying Han

Symmetry, Journal Year: 2025, Volume and Issue: 17(2), P. 248 - 248

Published: Feb. 7, 2025

In dynamic environments characterized by information asymmetry, swarm robots encounter significant challenges in efficiently collaborating to complete tasks. This study investigates the effects of factors such as resource information, shared costs, transmission efficiency, and strategy-switching probabilities arising from uneven sharing among perspective disparity. A payoff matrix is developed model selection between search exploration strategies under conditions asymmetry. Utilizing evolutionary game theory replicator dynamics, analyzes how adapt their response variations costs. The findings reveal that system ultimately evolves toward one two dominant strategies: or exploration. Numerical simulations demonstrate disparity, collectively drive transition a strategy an strategy, enabling them acquire unknown environmental more effectively expedite task completion. results suggest with balanced predominantly favors optimize utilization. Conversely, pronounced inclined adopt enhancing adaptability changes accelerating

Language: Английский

Citations

0

Integrated Optimization of Simultaneous Target Assignment and Path Planning for Aerial Robot Swarm DOI

Yunes Alqudsi

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)

Published: Oct. 29, 2024

Language: Английский

Citations

1