188 citations · 351 across the 29 of their papers we have counts for
27 papers · 1 filter
OmniVLN: Omnidirectional 3D Perception and Token-Efficient LLM Reasoning for Visual-Language Navigation across Air and Ground Platforms
Zhongyuang Liu, Min He, Shaonan Yu +5
Language-guided embodied navigation requires an agent to interpret object-referential instructions, search across multiple rooms, localize the referenced target, and execute reliab…
Topological Motion Planning Diffusion: Generative Tangle-Free Path Planning for Tethered Robots in Obstacle-Rich Environments
Yifu Tian, Xinhang Xu, Thien-Minh Nguyen +1
In extreme environments such as underwater exploration and post-disaster rescue, tethered robots require continuous navigation while avoiding cable entanglement. Traditional planne…
Learning Energy-Efficient Air--Ground Actuation for Hybrid Robots on Stair-Like Terrain
Jiaxing Li, Wen Tian, Ishaan Bhimwal +5
Hybrid aerial--ground robots can use thrust to cross obstacles that impede wheel-driven motion, but deciding how much thrust to apply during contact remains challenging. We present…
AEOS: Active Environment-aware Optimal Scanning Control for UAV LiDAR-Inertial Odometry in Complex Scenes
Jianping Li, Xinhang Xu, Zhongyuan Liu +3
LiDAR-based 3D perception and localization on unmanned aerial vehicles (UAVs) are fundamentally limited by the narrow field of view (FoV) of compact LiDAR sensors and the payload c…
Following Is All You Need: Robot Crowd Navigation Using People As Planners
Yuwen Liao, Xinhang Xu, Ruofei Bai +4
Navigating in crowded environments requires the robot to be equipped with high-level reasoning and planning techniques. Existing works focus on developing complex and heavyweight p…
AToM: Adaptive Theory-of-Mind-Based Human Motion Prediction in Long-Term Human-Robot Interactions
Yuwen Liao, Muqing Cao, Xinhang Xu +1
Humans learn from observations and experiences to adjust their behaviours towards better performance. Interacting with such dynamic humans is challenging, as the robot needs to pre…
Cooperative Aerial Robot Inspection Challenge: A Benchmark for Heterogeneous Multi-UAV Planning and Lessons Learned
Muqing Cao, Thien-Minh Nguyen, Shenghai Yuan +12
We propose the Cooperative Aerial Robot Inspection Challenge (CARIC), a simulation-based benchmark for motion planning algorithms in heterogeneous multi-UAV systems. CARIC features…
Large-Scale UWB Anchor Calibration and One-Shot Localization Using Gaussian Process
Shenghai Yuan, Boyang Lou, Thien-Minh Nguyen +7
Ultra-wideband (UWB) is gaining popularity with devices like AirTags for precise home item localization but faces significant challenges when scaled to large environments like seap…
Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation
Muqing Cao, Xinhang Xu, Yizhuo Yang +6
Robot navigation in dense human crowds poses a significant challenge due to the complexity of human behavior in dynamic and obstacle-rich environments. In this work, we propose a d…
AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness
Yizhuo Yang, Shenghai Yuan, Muqing Cao +2
In this study, we introduce AV-PedAware, a self-supervised audio-visual fusion system designed to improve dynamic pedestrian awareness for robotics applications. Pedestrian awarene…
Graph Optimality-Aware Stochastic LiDAR Bundle Adjustment with Progressive Spatial Smoothing
Jianping Li, Thien-Minh Nguyen, Muqing Cao +3
Large-scale LiDAR Bundle Adjustment (LBA) to refine sensor orientation and point cloud accuracy simultaneously to build the navigation map is a fundamental task in logistics and ro…
HelmetPoser: A Helmet-Mounted IMU Dataset for Data-Driven Estimation of Human Head Motion in Diverse Conditions
Jianping Li, Qiutong Leng, Jinxing Liu +7
Helmet-mounted wearable positioning systems are crucial for enhancing safety and facilitating coordination in industrial, construction, and emergency rescue environments. These sys…
AirCrab: A Hybrid Aerial-Ground Manipulator with An Active Wheel
Muqing Cao, Jiayan Zhao, Xinhang Xu +1
Inspired by the behavior of birds, we present AirCrab, a hybrid aerial ground manipulator (HAGM) with a single active wheel and a 3-degree of freedom (3-DoF) manipulator. AirCrab l…
HCTO: Optimality-Aware LiDAR Inertial Odometry with Hybrid Continuous Time Optimization for Compact Wearable Mapping System
Jianping Li, Shenghai Yuan, Muqing Cao +3
Compact wearable mapping system (WMS) has gained significant attention due to their convenience in various applications. Specifically, it provides an efficient way to collect prior…
A Cost-Effective Cooperative Exploration and Inspection Strategy for Heterogeneous Aerial System
Xinhang Xu, Muqing Cao, Shenghai Yuan +3
In this paper, we propose a cost-effective strategy for heterogeneous UAV swarm systems for cooperative aerial inspection. Unlike previous swarm inspection works, the proposed meth…
CapsuleBot: A Novel Hybrid Aerial-Ground Bi-Copter Robot With Two Actuated-Wheel-Rotors
Zhi Zheng, Qifeng Cai, Jin Wang +6
This paper presents the design, modeling, and experimental validation of CapsuleBot, a novel hybrid aerial-ground bi-copter robot designed for long-endurance and low-noise operatio…
Path Planning for Multiple Tethered Robots Using Topological Braids
Muqing Cao, Kun Cao, Shenghai Yuan +3
Path planning for multiple tethered robots is a challenging problem due to the complex interactions among the cables and the possibility of severe entanglements. Previous works on…
DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels
Muqing Cao, Xinhang Xu, Shenghai Yuan +3
We present the dynamic model and control of DoubleBee, a novel hybrid aerial-ground vehicle consisting of two propellers mounted on tilting servo motors and two motor-driven wheels…
NEPTUNE: Nonentangling Trajectory Planning for Multiple Tethered Unmanned Vehicles
Muqing Cao, Kun Cao, Shenghai Yuan +2
Despite recent progress on trajectory planning of multiple robots and path planning of a single tethered robot, planning of multiple tethered robots to reach their individual targe…
NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +3
In recent years, autonomous robots have become ubiquitous in research and daily life. Among many factors, public datasets play an important role in the progress of this field, as t…
VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +2
In this paper, we propose a tightly-coupled, multi-modal simultaneous localization and mapping (SLAM) framework, integrating an extensive set of sensors: IMU, cameras, multiple lid…
MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +3
In this letter we investigate a tightly coupled Lidar-Inertia Odometry and Mapping (LIOM) scheme, with the capability to incorporate multiple lidars with complementary field of vie…
Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection
Yang Lyu, Muqing Cao, Shenghai Yuan +1
Unmanned Aerial Vehicle (UAV) has already demonstrated its potential in many civilian applications, and the façade inspection is among the most promising ones. In this paper, we fo…
SPINS: Structure Priors aided Inertial Navigation System
Yang Lyu, Thien-Minh Nguyen, Liu Liu +4
Although Simultaneous Localization and Mapping (SLAM) has been an active research topic for decades, current state-of-the-art methods still suffer from instability or inaccuracy du…