46 citations · 115 across the 13 of their papers we have counts for
14 papers
Predict Before You Step: Auditable Occupancy Forecasting for Dynamic Obstacle Avoidance under Sparse Guidance
Yuhui Mao, Fen Liu, Shenghai Yuan +3
Legged robots under sparse waypoint guidance must avoid moving obstacles using partial, rapidly changing LiDAR observations. We present LOOP (Latent-recurrent Occupancy rollOut Pol…
Aerial Target Encirclement and Interception with Noisy Range Observations
Fen Liu, Shenghai Yuan, Thien-Minh Nguyen +2
This paper proposes a strategy to encircle and intercept a non-cooperative aerial point-mass moving target by leveraging noisy range measurements for state estimation. In this appr…
Label-Free Long-Horizon 3D UAV Trajectory Prediction via Motion-Aligned RGB and Event Cues
Hanfang Liang, Shenghai Yuan, Fen Liu +5
The widespread use of consumer drones has introduced serious challenges for airspace security and public safety. Their high agility and unpredictable motion make drones difficult t…
Autonomous 3D Moving Target Encirclement and Interception with Range measurement
Fen Liu, Shenghai Yuan, Thien-Minh Nguyen +1
Commercial UAVs are an emerging security threat as they are capable of carrying hazardous payloads or disrupting air traffic. To counter UAVs, we introduce an autonomous 3D target…
Underwater target 6D State Estimation via UUV Attitude Enhance Observability
Fen Liu, Chengfeng Jia, Na Zhang +2
Accurate relative state observation of Unmanned Underwater Vehicles (UUVs) for tracking uncooperative targets remains a significant challenge due to the absence of GPS, complex und…
Tire Wear Aware Trajectory Tracking Control for Multi-axle Swerve-drive Autonomous Mobile Robots
Tianxin Hu, Xinhang Xu, Thien-Minh Nguyen +3
Multi-axle Swerve-drive Autonomous Mobile Robots (MS-AGVs) equipped with independently steerable wheels are commonly used for high-payload transportation. In this work, we present…
AirSwarm: Enabling Cost-Effective Multi-UAV Research with COTS drones
Xiaowei Li, Kuan Xu, Fen Liu +3
Traditional unmanned aerial vehicle (UAV) swarm missions rely heavily on expensive custom-made drones with onboard perception or external positioning systems, limiting their widesp…
Non-cooperative Stochastic Target Encirclement by Anti-synchronization Control via Range-only Measurement
Fen Liu, Shenghai Yuan, Wei Meng +2
This paper investigates the stochastic moving target encirclement problem in a realistic setting. In contrast to typical assumptions in related works, the target in our work is non…
Unsupervised UAV 3D Trajectories Estimation with Sparse Point Clouds
Hanfang Liang, Yizhuo Yang, Jinming Hu +3
Compact UAV systems, while advancing delivery and surveillance, pose significant security challenges due to their small size, which hinders detection by traditional methods. This p…
Swept Volume-Aware Trajectory Planning and MPC Tracking for Multi-Axle Swerve-Drive AMRs
Tianxin Hu, Shenghai Yuan, Ruofei Bai +4
Multi-axle autonomous mobile robots (AMRs) are set to revolutionize the future of robotics in logistics. As the backbone of next-generation solutions, these robots face a critical…
Multiple noncooperative targets encirclement by relative distance-based positioning and neural antisynchronization control
Fen Liu, Shenghai Yuan, Wei Meng +2
From prehistoric encirclement for hunting to GPS orbiting the earth for positioning, target encirclement has numerous real world applications. However, encircling multiple non-coop…
AIR-Embodied: An Efficient Active 3DGS-based Interaction and Reconstruction Framework with Embodied Large Language Model
Zhenghao Qi, Shenghai Yuan, Fen Liu +4
Recent advancements in 3D reconstruction and neural rendering have enhanced the creation of high-quality digital assets, yet existing methods struggle to generalize across varying…
Distance-based Multiple Non-cooperative Ground Target Encirclement for Complex Environments
Fen Liu, Shenghai Yuan, Kun Cao +2
This paper proposes a comprehensive strategy for complex multi-target-multi-drone encirclement in an obstacle-rich and GPS-denied environment, motivated by practical scenarios such…
MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats
Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen +6
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we i…