activity
20202026
most citedFast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments

11 citations · 24 across the 12 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Learning Air-Ground Motion Control with Temporal Mode Switching and Cross-Terrain Tracking

Ruitian Pang, Mingrui Li, Xuanting Liu +10

Passive-wheeled terrestrial-aerial bimodal vehicles (TABVs) combine aerial mobility with energy-efficient ground locomotion. However, reliable air-ground mode switching under limit…

cs.RO2026

DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation

Ruibin Zhang, Lun Pan, Zelong Xia +2

Vision-based Unmanned Aerial Vehicles (UAVs) often suffer from navigation failures in dead ends due to limited sensing accuracy and range. To address this challenge, this paper pro…

cs.RO2025★ 1 cited

Rotor-Failure-Aware Quadrotors Flight in Unknown Environments

Xiaobin Zhou, Miao Wang, Chengao Li +5

Rotor failures in quadrotors may result in high-speed rotation and vibration due to rotor imbalance, which introduces significant challenges for autonomous flight in unknown enviro…

cs.RO2025

Sem-RaDiff: Diffusion-Based 3D Radar Semantic Perception in Cluttered Agricultural Environments

Ruibin Zhang, Fei Gao

Accurate and robust environmental perception is crucial for robot autonomous navigation. While current methods typically adopt optical sensors (e.g., camera, LiDAR) as primary sens…

cs.RO2025

Autonomous Exploration with Terrestrial-Aerial Bimodal Vehicles

Yuman Gao, Ruibin Zhang, Tiancheng Lai +3

Terrestrial-aerial bimodal vehicles, which integrate the high mobility of aerial robots with the long endurance of ground robots, offer significant potential for autonomous explora…

cs.CV2024

Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model

Ruibin Zhang, Donglai Xue, Yuhan Wang +2

Millimeter wave (mmWave) radars have attracted significant attention from both academia and industry due to their capability to operate in extreme weather conditions. However, they…

cs.RO2024★ 1 cited

Skater: A Novel Bi-modal Bi-copter Robot for Adaptive Locomotion in Air and Diverse Terrain

Junxiao Lin, Ruibin Zhang, Neng Pan +2

In this letter, we present a novel bi-modal bi-copter robot called Skater, which is adaptable to air and various ground surfaces. Skater consists of a bi-copter moving along its lo…

cs.RO2024

Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels

Ruibin Zhang, Junxiao Lin, Yuze Wu +5

Terrestrial and aerial bimodal vehicles have gained widespread attention due to their cross-domain maneuverability. Nevertheless, their bimodal dynamics significantly increase the…

cs.RO2023★ 8 cited

Roller-Quadrotor: A Novel Hybrid Terrestrial/Aerial Quadrotor with Unicycle-Driven and Rotor-Assisted Turning

Zhi Zheng, Jin Wang, Yuze Wu +7

The Roller-Quadrotor is a novel quadrotor that combines the maneuverability of aerial drones with the endurance of ground vehicles. This work focuses on the design, modeling, and e…

cs.RO2021

Autonomous and Adaptive Navigation for Terrestrial-Aerial Bimodal Vehicles

Ruibin Zhang, Yuze Wu, Lixian Zhang +2

Terrestrial-aerial bimodal vehicles bloom in both academia and industry because they incorporate both the high mobility of aerial vehicles and the long endurance of ground vehicles…

cs.RO2021★ 3 cited

Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active Vision and Human Location Regression

Neng Pan, Ruibin Zhang, Tiankai Yang +2

In recent years, several progressive works promote the development of aerial tracking. One of the representative works is our previous work Fast-tracker which is applicable to vari…

cs.RO2020★ 11 cited

Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments

Zhichao Han, Ruibin Zhang, Neng Pan +2

This paper proposes a systematic solution that uses an unmanned aerial vehicle (UAV) to aggressively and safely track an agile target. The solution properly handles the challenging…