3 papers
cs.RO2026
Non-Equilibrium MAV-Capture-MAV via Time-Optimal Planning and Reinforcement Learning
Canlun Zheng, Zhanyu Guo, Zikang Yin +3
The capture of flying MAVs (micro aerial vehicles) has garnered increasing research attention due to its intriguing challenges and promising applications. Despite recent advancemen…
cs.RO2026
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning
Zikang Yin, Canlun Zheng, Shiliang Guo +2
Although acrobatic flight control has been studied extensively, one key limitation of the existing methods is that they are usually restricted to specific maneuver tasks and cannot…
cs.RO2026
Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries
Zhanyu Guo, Zikang Yin, Guobin Zhu +2
Flight control for autonomous micro aerial vehicles (MAVs) is evolving from steady flight near equilibrium points toward more aggressive aerobatic maneuvers, such as flips, rolls,…