This letter presents a continuous probabilistic modeling methodology for spatial point cloud
data using finite Gaussian Mixture Models (GMMs) where the number of components are …

The cooperative exploration in unknown environment is a tough task for the multi-robot
system. The imbalance of individual workload caused by the weak autonomous cooperation …

To achieve effective collaboration of multiple robots, it requires efficient exchanges of map
information. As directly exchanging generally used depth map requires high communication …

针对技术落地面临的实际挑战, 对通信感知一体化原型验证的研究现状和发展趋势进行了阐述和
总结. 首先, 概括基于单节点的通信感知一体化原型系统在定位, 环境制图, 成像 …

Collaborative mapping aids agents in achieving an efficient and comprehensive
understanding of their environment. Recently, there has been growing interest in using …

Efficient environment sharing is crucial for multi-robot tasks, such as exploration and
navigation. However, real-time environment sharing faces significant challenges due to …

Current LiDAR odometry, mapping and localization methods leverage point-wise
representations of 3D scenes and achieve high accuracy in autonomous driving tasks …

Relative localization is crucial for multi-robot systems to perform cooperative tasks,
especially in GPS-denied environments. Current techniques for multi-robot relative …

Autonomous exploration of unknown environments using a team of mobile robots demands
distributed perception and planning strategies to enable efficient and scalable performance …

This study introduces an innovative combined system utilizing the Robot Operating System
(ROS) to enhance multi-robot systems for comprehensive coverage in indoor settings. The …