3 papers
cs.LG2025
Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning
Zhang Minghao, Yang Xiaojun, Wang Zhihe +1
This paper introduces the CRL2RT algorithm, an advanced reinforcement learning method aimed at improving the real-time control performance of the Direct-Drive Tandem-Wing Experimen…
cs.RO2024
Development of Minimal Biorobotic Stealth Distance and Its Application in the Design of Direct-Drive Dragonfly-Inspired Aircraft
Zhang Minghao, Song Bifeng, Yang Xiaojun +2
This paper introduces the Minimal Biorobotic Stealth Distance (MBSD), a novel quantitative metric to evaluate the bionic resemblance of biorobotic aircraft. Current technological l…
cs.LG2024
A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
Zhang Minghao, Song Bifeng, Yang Xiaojun +1
The nonlinear and unstable aerodynamic interference generated by the tandem wings of such biomimetic systems poses substantial challenges for motion control, especially under multi…