[HTML][HTML] Research on cooperative obstacle avoidance decision making of unmanned aerial vehicle swarms in complex environments under end-edge-cloud …
L Zhao, B Chen, F Hu - Drones, 2024 - mdpi.com
Obstacle avoidance in UAV swarms is crucial for ensuring the stability and safety of cluster
flights. However, traditional methods of swarm obstacle avoidance often fail to meet the …
flights. However, traditional methods of swarm obstacle avoidance often fail to meet the …
Reinforcement Learned Multi–Agent Cooperative Navigation in Hybrid Environment with Relational Graph Learning
The Multi-robot cooperative navigation problem is an essential topic in multi-agent control.
This paper proposes a distributed approach named GAR-CoNav to solve the navigation …
This paper proposes a distributed approach named GAR-CoNav to solve the navigation …
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
Learning to collaborate has witnessed significant progress in multi-agent reinforcement
learning (MARL). However, promoting coordination among agents and enhancing …
learning (MARL). However, promoting coordination among agents and enhancing …
Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network
Q Lin, W Lu - arxiv preprint arxiv:2311.07105, 2023 - arxiv.org
Multi-robot systems are widely used in spatially distributed tasks, and their collaborative path
planning is of great significance for working efficiency. Currently, different multi-robot …
planning is of great significance for working efficiency. Currently, different multi-robot …
Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments
For tasks conducted in unknown environments with efficiency requirements, real-time
navigation of multi-robot systems remains challenging due to unfamiliarity with …
navigation of multi-robot systems remains challenging due to unfamiliarity with …