A novel approach for multi-agent cooperative pursuit to capture grouped evaders

no code implementations • 1 Jun 2020 • Muhammad Zuhair Qadir, Songhao Piao, Haiyang Jiang, Mohammed El Habib Souidi

An approach of mobile multi-agent pursuit based on application of self-organizing feature map (SOFM) and along with that reinforcement learning based on agent group role membership function (AGRMF) model is proposed.

reinforcement-learning Reinforcement Learning (RL)

Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network

no code implementations • 23 Sep 2019 • Zhaoyi Pei, Piaosong Hao, Meixiang Quan, Muhammad Zuhair Qadir, Guo Li

This paper proposes a unique active relative localization mechanism for multi-agent Simultaneous Localization and Mapping(SLAM), in which a agent to be observed are considered as a task, which is performed by others assisting that agent by relative observation.

Simultaneous Localization and Mapping