arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.12702cs.ROcs.ITcs.SYeess.SYmath.IT

Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation

Shenzhen Institute of Advanced Technology(深圳先进技术研究院);Southern University of Science and Technology(南方科技大学);South China University of Technology(华南理工大学);University of Essex(埃塞克斯大学);Instituto de Telecomunicaões(葡萄牙电信研究所);University of New South Wales(新南威尔士大学)

Shuai Wang, Ruihua Han, Yuncong Hong, Qi Hao, Miaowen Wen, Leila Musavian, Shahid Mumtaz, Derrick Wing Kwan Ng

英文摘要:

Wireless energy transfer (WET) is a ground-breaking technology for cutting the last wire between mobile sensors and power grids in smart cities. Yet, WET only offers effective transmission of energy over a short distance. Robotic WET is an emerging paradigm that mounts the energy transmitter on a mobile robot and navigates the robot through different regions in a large area to charge remote energy harvesters. However, it is challenging to determine the robotic charging strategy in an unknown and dynamic environment due to the uncertainty of obstacles. This paper proposes a hardware-in-the-loop joint optimization framework that offers three distinctive features: 1) efficient model updates and re-optimization based on the last-round experimental data; 2) iterative refinement of the anchor list for adaptation to different environments; 3) verification of algorithms in a high-fidelity Gazebo simulator and a multi-robot testbed. Experimental results show that the proposed framework significantly saves the WET mission completion time while satisfying collision avoidance and energy harvesting constraints.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑