activity
20172026
most citedNTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint

188 citations · 620 across the 43 of their papers we have counts for

collaborators

43 papers

cs.RO2026

Probabilistic Scene Graphs: Hierarchical Representation and Real-time System

Waqas Ali, Michele Antonazzi, Timon Homberger +4

3D scene graphs provide semantically rich and hierarchical representations for robot perception. However, existing systems do not maintain uncertainty as an explicit belief or prop…

cs.RO2026

Watch Your Step: Learning Semantically-Guided Locomotion in Cluttered Environment

Denan Liang, Yuan Zhu, Ruimeng Liu +3

Although legged robots demonstrate impressive mobility on rough terrain, using them safely in cluttered environments remains a challenge. A key issue is their inability to avoid st…

cs.RO2026

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…

cs.RO2026

Multi-Agent Off-World Exploration for Sparse Evidence Discovery via Gaussian Belief Mapping and Dual-Domain Coverage

Zhuoran Qiao, Tianxin Hu, Thien-Minh Nguyen +1

Off-world multi-robot exploration is challenged by sparse targets, limited sensing, hazardous terrain, and restricted communication. Many scientifically valuable clues are visually…

cs.RO2026

PanoDP: Learning Collision-Free Navigation with Panoramic Depth and Differentiable Physics

Hao Zhong, Pei Chi, Jiang Zhao +4

Autonomous collision-free navigation in cluttered environments requires safe decision-making under partial observability with both static structure and dynamic obstacles. We presen…

cs.RO2026

Task-Level Decisions to Gait Level Control: A Hierarchical Policy Approach for Quadruped Navigation

Sijia Li, Haoyu Wang, Shenghai Yuan +2

Real-world quadruped navigation is constrained by a scale mismatch between high-level navigation decisions and low-level gait execution, as well as by instabilities under out-of-di…

cs.RO2025

Coordinate-Consistent Localization via Continuous-Time Calibration and Fusion of UWB and SLAM Observations

Tien-Dat Nguyen, Thien-Minh Nguyen, Vinh-Hao Nguyen

Onboard simultaneous localization and mapping (SLAM) methods are commonly used to provide accurate localization information for autonomous robots. However, the coordinate origin of…

cs.RO2025

PERAL: Perception-Aware Motion Control for Passive LiDAR Excitation in Spherical Robots

Shenghai Yuan, Jason Wai Hao Yee, Weixiang Guo +3

Autonomous mobile robots increasingly rely on LiDAR-IMU odometry for navigation and mapping, yet horizontally mounted LiDARs such as the MID360 capture few near-ground returns, lim…

cs.RO2025

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…

cs.RO2025

EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events

Siyu Chen, Shenghai Yuan, Thien-Minh Nguyen +4

Gaussian Splatting SLAM (GS-SLAM) offers a notable improvement over traditional SLAM methods, enabling photorealistic 3D reconstruction that conventional approaches often struggle…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025★ 2 cited

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…

cs.RO2024

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…

cs.RO2024

Robust Loop Closure by Textual Cues in Challenging Environments

Tongxing Jin, Thien-Minh Nguyen, Xinhang Xu +4

Loop closure is an important task in robot navigation. However, existing methods mostly rely on some implicit or heuristic features of the environment, which can still fail to work…

cs.RO2024★ 1 cited

A Third-Order Gaussian Process Trajectory Representation Framework with Closed-Form Kinematics for Continuous-Time Motion Estimation

Thien-Minh Nguyen, Ziyu Cao, Kailai Li +5

In this paper, we propose a third-order, i.e., white-noise-on-jerk, Gaussian Process (GP) Trajectory Representation (TR) framework for continuous-time (CT) motion estimation (ME) t…

cs.RO2024

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…

cs.RO2024

ULOC: Learning to Localize in Complex Large-Scale Environments with Ultra-Wideband Ranges

Thien-Minh Nguyen, Yizhuo Yang, Tien-Dat Nguyen +2

While UWB-based methods can achieve high localization accuracy in small-scale areas, their accuracy and reliability are significantly challenged in large-scale environments. In thi…

cs.RO2024★ 1 cited

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…

cs.RO2024

HD-maps as Prior Information for Globally Consistent Mapping in GPS-denied Environments

Waqas Ali, Patric Jensfelt, Thien-Minh Nguyen

In recent years, prior maps have become a mainstream tool in autonomous navigation. However, commonly available prior maps are still tailored to control-and-decision tasks, and the…

cs.RO2024★ 1 cited

I2EKF-LO: A Dual-Iteration Extended Kalman Filter Based LiDAR Odometry

Wenlu Yu, Jie Xu, Chengwei Zhao +5

LiDAR odometry is a pivotal technology in the fields of autonomous driving and autonomous mobile robotics. However, most of the current works focus on nonlinear optimization method…

cs.RO2024

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…

cs.RO2024★ 4 cited

MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen +8

Perception plays a crucial role in various robot applications. However, existing well-annotated datasets are biased towards autonomous driving scenarios, while unlabelled SLAM data…

cs.RO2024★ 1 cited

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…