activity
20072022
most citedFish lateral line inspired perception and flow-aided control: A review

72 citations · 216 across the 15 of their papers we have counts for

collaborators

15 papers

cs.NI2022★ 2 cited

MACC: Cross-Layer Multi-Agent Congestion Control with Deep Reinforcement Learning

Jianing Bai, Tianhao Zhang, Guangming Xie

Congestion Control (CC), as the core networking task to efficiently utilize network capacity, received great attention and widely used in various Internet communication application…

cs.RO2021★ 1 cited

Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning

Tianhao Zhang, Yueheng Li, Shuai Li +3

In this paper, the circle formation control problem is addressed for a group of cooperative underactuated fish-like robots involving unknown nonlinear dynamics and disturbances. Ba…

cs.RO2020★ 1 cited

An Electrocommunication System Using FSK Modulation and Deep Learning Based Demodulation for Underwater Robots

Qinghao Wang, Ruijun Liu, Wei Wang +1

Underwater communication is extremely challenging for small underwater robots which typically have stringent power and size constraints. In our previous work, we developed an artif…

cs.RO2020★ 2 cited

Motion Planning for Heterogeneous Unmanned Systems under Partial Observation from UAV

Ci Chen, Yuanfang Wan, Baowei Li +3

For heterogeneous unmanned systems composed of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), using UAVs serve as eyes to assist UGVs in motion planning is a…

eess.SP2020★ 34 cited

Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish

Xingwen Zheng, Wei Wang, Liang Li +1

The lateral line enables fish to efficiently sense the surrounding environment, thus assisting flow-related fish behaviours. Inspired by this phenomenon, varieties of artificial la…

cs.RO2020★ 3 cited

Three-Dimensional Dynamic Modeling and Motion Analysis for an Active-Tail-Actuated Robotic Fish with Barycentre Regulating Mechanism

Xingwen Zheng, Minglei Xiong, Junzheng Zheng +3

Dynamic modeling has been capturing attention for its fundamentality in precise locomotion analyses and control of underwater robots. However, the existing researches have mainly f…