Showing cs.ROShow all
3 papers · 1 filter
cs.RO2025
Sim-to-Real Transfer in Reinforcement Learning for Maneuver Control of a Variable-Pitch MAV
Zhikun Wang, Shiyu Zhao
Reinforcement learning (RL) algorithms can enable high-maneuverability in unmanned aerial vehicles (MAVs), but transferring them from simulation to real-world use is challenging. V…
cs.RO2025
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.RO2025
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…