3 papers
cs.RO2026
ASTER: Attitude-aware Suspended-payload Quadrotor Traversal via Efficient Reinforcement Learning
Dongcheng Cao, Jin Zhou, Shuo Li
Agile maneuvering of the quadrotor cable-suspended system is significantly hindered by its non-smooth hybrid dynamics. While model-free Reinforcement Learning (RL) circumvents expl…
cs.RO2026
MAVEN: A Meta-Reinforcement Learning Framework for Varying-Dynamics Expertise in Agile Quadrotor Maneuvers
Jin Zhou, Dongcheng Cao, Xian Wang +1
Reinforcement learning (RL) has emerged as a powerful paradigm for achieving online agile navigation with quadrotors. Despite this success, policies trained via standard RL typical…
cs.RO2026
FLARE: Agile Flights for Quadrotor Cable-Suspended Payload System via Reinforcement Learning
Dongcheng Cao, Jin Zhou, Xian Wang +1
Agile flight for the quadrotor cable-suspended payload system is a formidable challenge due to its underactuated, highly nonlinear, and hybrid dynamics. Traditional optimization-ba…