@article{pei_slam_2018,
	title = {{SLAM} for {Humanoid} {Multi}-{Robot} {Active} {Cooperation} {Based} on {Relative} {Observation}},
	volume = {10},
	url = {https://ideas.repec.org/a/gam/jsusta/v10y2018i8p2946-d164578.html},
	abstract = {The simultaneous localization and mapping (SLAM) of robot in the complex environment is a fundamental research topic for service robots. This paper presents a new humanoid multi-robot SLAM mechanism that allows robots to collaborate and localize each other in their own SLAM process. Each robot has two switchable modes: independent mode and collaborative mode. Each robot can respond to the requests of other robots and participate in chained localization of the target robot under the leadership of the organiser. We aslo discuss how to find the solution of optimal strategy for chained localization. This mechanism can improve the performance of bundle adjustment at the global level, especially when the image features are few or the results of closed loop are not ideal. The simulation results show that this method has a great effect on improving the accuracy of multi-robot localization and the efficiency of 3D mapping.},
	number = {8},
	journal = {Sustainability},
	author = {Pei, Zhaoyi and Piao, Songhao and Souidi, Mohammed El Habib and Qadir, Muhammad Zuhair and Li, Guo},
	month = aug,
	year = {2018},
	keywords = {SLAM, cooperative localization, humanoid robot, multi-robot system (MRS)},
	pages = {1--18},
}

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