3 papers
cs.RO2026
Collision-Aware Object-Goal Visual Navigation via Two-Stage Deep Reinforcement Learning
Hongwu Wang, Shiwei Lian, Feitian Zhang
Object-goal visual navigation aims to reach a specific target object using egocentric visual observations. Recent deep reinforcement learning (DRL) approaches have achieved promisi…
cs.RO2026
Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration
Xiaorui Wang, Hongwu Wang, Yue Fan +2
This paper investigates goal-directed tracking control of underactuated blimps with center-of-mass (CoM) reconfiguration. Unlike conventional overactuated blimp designs that rely o…
cs.RO2026
Dual-Regime Hybrid Aerodynamic Modeling of Winged Blimps With Neural Mixing
Xiaorui Wang, Hongwu Wang, Yue Fan +2
Winged blimps operate across distinct aerodynamic regimes that cannot be adequately captured by a single model. At high speeds and small angles of attack, their dynamics exhibit st…