6 citations · 10 across the 10 of their papers we have counts for
10 papers
JitTrack: Onboard Multi-Object Tracking Against Viewpoint Jitter for Agile UAVs
Yachun Shan, Feitian Zhang
Multi-object tracking (MOT) onboard agile unmanned aerial vehicles (UAVs) remains challenging due to severe viewpoint jitter induced by camera ego-motion. Rapid attitude changes du…
Difference-Based Relational Learning for Zero-Shot Object-Goal Visual Navigation With Direct Sim-to-Real Transfer
Guolei Qi, Feitian Zhang
End-to-end deep reinforcement learning (DRL) for zero-shot object-goal visual navigation remains challenged by the sim-to-real gap, particularly variations in object appearance and…
Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection
Liuyang Wang, Feitian Zhang
Object detection from Unmanned Aerial Vehicles (UAVs) is challenged by severe ego-motion, camera jitter, and large scale variations. While modern detectors perform well on static i…
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…
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…
Disturbance-Aware Flight Control of Robotic Gliding Blimp via Moving Mass Actuation
Hao Cheng, Feitian Zhang
Robotic blimps, as lighter-than-air (LTA) aerial systems, offer long endurance and inherently safe operation but remain highly susceptible to wind disturbances. Building on recent…
Spatial-VLN: Zero-Shot Vision-and-Language Navigation With Explicit Spatial Perception and Exploration
Lu Yue, Yue Fan, Shiwei Lian +4
Zero-shot Vision-and-Language Navigation (VLN) agents leveraging Large Language Models (LLMs) excel in generalization but suffer from insufficient spatial perception. Focusing on c…
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…
RGBlimp-Q: Robotic Gliding Blimp With Moving Mass Control Based on a Bird-Inspired Continuum Arm
Hao Cheng, Feitian Zhang
Robotic blimps, as lighter-than-air aerial platforms, offer extended operational duration and enhanced safety in human-robot interactions due to their buoyant lift. However, achiev…
Data-Driven Dynamics Modeling of Miniature Robotic Blimps Using Neural ODEs With Parameter Auto-Tuning
Yongjian Zhu, Hao Cheng, Feitian Zhang
Miniature robotic blimps, as one type of lighter-than-air aerial vehicles, have attracted increasing attention in the science and engineering community for their enhanced safety, e…