6 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
Junfeng Chen, Fuqin Deng, Yuan Gao +4
It is well known that it is difficult to have a reliable and robust framework to link multi-agent deep reinforcement learning algorithms with practical multi-robot applications. To…
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu +2
We study a novel problem that tackles learning based sensor scanning in 3D and uncertain environments with heterogeneous multi-robot systems. Our motivation is two-fold: first, 3D…
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments
Tianwei Zhang, Huayan Zhang, Xiaofei Li +3
Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches. To deal with dynamic e…
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
Xiyue Guo, Junjie Hu, Junfeng Chen +2
The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently and accurately perform multi-robot global localization (MR-GL). The dif…