6 citations · 8 across the 33 of their papers we have counts for
22 papers · 1 filter
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…
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…
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…
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…
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,…
Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence
Thanh Nguyen Canh, Ba Phuong Nguyen, Hong Quan Tran +1
In this paper, we propose the development of an interactive platform between humans and a dual-arm robotic system based on the Robot Operating System (ROS) and a multimodal artific…
Development of an indoor localization and navigation system based on monocular SLAM for mobile robots
Thanh Nguyen Canh, Duc Manh Do, Xiem HoangVan
Localization and navigation are two crucial issues for mobile robots. In this paper, we propose an approach for localization and navigation systems for a differential-drive robot b…
Toward Integrating Semantic-aware Path Planning and Reliable Localization for UAV Operations
Thanh Nguyen Canh, Huy-Hoang Ngo, Xiem HoangVan +1
Localization is one of the most crucial tasks for Unmanned Aerial Vehicle systems (UAVs) directly impacting overall performance, which can be achieved with various sensors and appl…
Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments
Thanh Nguyen Canh, Xiem HoangVan, Nak Young Chong
Navigating safely in dynamic human environments is crucial for mobile service robots, and social navigation is a key aspect of this process. In this paper, we proposed an integrati…
Fusion LiDAR-Inertial-Encoder data for High-Accuracy SLAM
Manh Do Duc, Thanh Nguyen Canh, Minh DoNgoc +1
In the realm of robotics, achieving simultaneous localization and mapping (SLAM) is paramount for autonomous navigation, especially in challenging environments like texture-less st…
S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera
Thanh Nguyen Canh, Van-Truong Nguyen, Xiem HoangVan +2
Unmanned Aerial Vehicles (UAVs) hold immense potential for critical applications, such as search and rescue operations, where accurate perception of indoor environments is paramoun…
Object-Oriented Semantic Mapping for Reliable UAVs Navigation
Thanh Nguyen Canh, Armagan Elibol, Nak Young Chong +1
To autonomously navigate in real-world environments, special in search and rescue operations, Unmanned Aerial Vehicles (UAVs) necessitate comprehensive maps to ensure safety. Howev…
Multisensor Data Fusion for Reliable Obstacle Avoidance
Thanh Nguyen Canh, Truong Son Nguyen, Cong Hoang Quach +2
In this work, we propose a new approach that combines data from multiple sensors for reliable obstacle avoidance. The sensors include two depth cameras and a LiDAR arranged so that…