1 citations · 2 across the 30 of their papers we have counts for
32 papers
Lightweight Path-Aware Frontier Re-ranking for LiDAR-Based UAV Exploration
Duc Manh Do, Thanh Nguyen Canh, Ngoc Minh Do +2
Autonomous 3D exploration with UAVs requires efficient target selection under limited flight time and onboard computation. In conventional Euclidean-distance-based frontier pipelin…
Which Objects Stay? Learning Hierarchical Persistence Beliefs for Lifelong Open-Vocabulary Object Maps
Thanh Nguyen Canh, Haolan Zhang, Nak Young Chong
Lifelong object maps must estimate whether an object remains at its previously observed location after it leaves view. Existing persistence filters rely on class-based survival pri…
Development of a Humanoid Robot Prototype for Multimodal Human-Robot Interaction
Thang Tran Viet, Thanh Nguyen Canh, Huy Uong Gia +4
Human-robot interaction (HRI) enables intuitive and intelligent collaboration between humans and robots in real-world environments. This paper introduces a humanoid robot prototype…
Efficient Continuous Semantic Mapping based on Spatio-Temporal Awareness
My Le Pham, Dinh Trieu Duong, Xiem HoangVan +1
Continuous semantic mapping allows autonomous robots to understand both the spatial structure and the semantic content of complex environments. However, most existing methods proce…
Semantic-Aware Autonomous Exploration for UAVs in Unknown Indoor Environments
Duc-Thien Nguyen, Ngoc Minh Do, Xiem HoangVan +1
Autonomous exploration in unknown environments requires unmanned aerial vehicles (UAVs) to efficiently generate informative trajectories while simultaneously constructing accurate…
Decoupled Object-Centric Video Understanding for Generating Robotic Manipulation Commands
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Translating video demonstrations into executable robot commands remains challenging because existing methods often fail to identify which objects are functionally involved in the d…
BPDA-GMM: Bayesian Probabilistic Data Association via Gaussian Mixture Models for Semantic SLAM
Thanh Nguyen Canh, Haolan Zhang, Xiem HoangVan +2
Probabilistic data association (PDA) improves semantic SLAM in perceptually aliased scenes, but existing methods often assume a fixed landmark set, recompute association weights as…
WaveSync: Constrained Wavefront Optimization for Synchronized Co-Speech Gestures in Humanoid Robots
Thang Tran Viet, Thanh Nguyen Canh, Gia Huy Uong +4
Expressive co-speech gestures are crucial for natural human--robot interaction, yet generating them on physical humanoid robots remains challenging because, unlike virtual avatars,…
OSDAG: Online Scheduling for Efficient Multi-Robot Collaboration
Thanh Nguyen Canh, Thang Tran Viet, Phuc Van Dinh +2
Coordinating heterogeneous multi-robot systems (MRS) for complex, long-horizon tasks requires both flexible high-level reasoning and efficient execution-time scheduling. Existing L…
Con-DSO: Learning Short-Horizon Consistency Priors for RGB-D Direct Sparse Odometry
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li +3
RGB-D direct visual odometry (VO) benefits from metric depth measurements but often degrades in the presence of dynamic objects, occlusions, illumination changes, and unreliable de…
SR-Platform: An Agentic Pipeline for Natural Language-Driven Robot Simulation Environment Synthesis
Ben Wei Lim, Minh Duc Le, Thang Truong +1
Generating robot simulation environments remains a major bottleneck in simulation-based robot learning. Constructing a training-ready MuJoCo scene typically requires expertise in 3…
SafeGuard ASF: SR Agentic Humanoid Robot System for Autonomous Industrial Safety
Thanh Nguyen Canh, Thang Tran Viet, Thanh Tuan Tran +1
The rise of unmanned ``dark factories'' operating without human presence demands autonomous safety systems capable of detecting and responding to multiple hazard types. We present…
Hybrid TD3: Overestimation Bias Analysis and Stable Policy Optimization for Hybrid Action Space
Thanh-Tuan Tran, Thanh Nguyen Canh, Nak Young Chong +1
Reinforcement learning in discrete-continuous hybrid action spaces presents fundamental challenges for robotic manipulation, where high-level task decisions and low-level joint-spa…
Human-to-Robot Interaction: Learning from Video Demonstration for Robot Imitation
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Learning from Demonstration (LfD) offers a promising paradigm for robot skill acquisition. Recent approaches attempt to extract manipulation commands directly from video demonstrat…
A Survey on Collaborative SLAM with 3D Gaussian Splatting
Phuc Nguyen Xuan, Thanh Nguyen Canh, Huu-Hung Nguyen +2
This survey comprehensively reviews the evolving field of multi-robot collaborative Simultaneous Localization and Mapping (SLAM) using 3D Gaussian Splatting (3DGS). As an explicit…
Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
Thanh Nguyen Canh, Haolan Zhang, Xiem HoangVan +1
Semantic Simultaneous Localization and Mapping (SLAM) is a critical area of research within robotics and computer vision, focusing on the simultaneous localization of robotic syste…
IL-SLAM: Intelligent Line-assisted SLAM Based on Feature Awareness for Dynamic Environments
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li +3
Visual Simultaneous Localization and Mapping (SLAM) plays a crucial role in autonomous systems. Traditional SLAM methods, based on static environment assumptions, struggle to handl…
SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments
Haolan Zhang, Chenghao Li, Thanh Nguyen Canh +2
Visual simultaneous localization and mapping (SLAM) plays a critical role in autonomous robotic systems, especially where accurate and reliable measurements are essential for navig…
Adaptive Prior Scene-Object SLAM for Dynamic Environments
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li +1
Visual Simultaneous Localization and Mapping (SLAM) plays a vital role in real-time localization for autonomous systems. However, traditional SLAM methods, which assume a static en…
IRAF-SLAM: An Illumination-Robust and Adaptive Feature-Culling Front-End for Visual SLAM in Challenging Environments
Thanh Nguyen Canh, Bao Nguyen Quoc, Haolan Zhang +3
Robust Visual SLAM (vSLAM) is essential for autonomous systems operating in real-world environments, where challenges such as dynamic objects, low texture, and critically, varying…
ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detection
Xiem HoangVan, Dang Bui Dinh, Thanh Nguyen Canh +1
Printed Circuit Boards (PCBs) are critical components in modern electronics, which require stringent quality control to ensure proper functionality. However, the detection of defec…
Flight Time Improvement Using Adaptive Model Predictive Control for Unmanned Aerial Vehicles
Huy-Hoang Ngo, Thanh Nguyen Canh, Xiem HoangVan
Intelligent aerial platforms such as Unmanned Aerial Vehicles (UAVs) are expected to revolutionize various fields, including transportation, traffic management, field monitoring, i…
Quadrotor Trajectory Tracking Using Linear and Nonlinear Model Predictive Control
Thanh Nguyen Canh, Huy-Hoang Ngo, Anh Viet Dang +1
Accurate trajectory tracking is an essential characteristic for the safe navigation of a quadrotor in cluttered or disturbed environments. In this paper, we present in detail two s…
Enhancing Depth Image Estimation for Underwater Robots by Combining Image Processing and Machine Learning
Quang Truong Nguyen, Thanh Nguyen Canh, Xiem HoangVan
Depth information plays a crucial role in autonomous systems for environmental perception and robot state estimation. With the rapid development of deep neural network technology,…