1 citations · 2 across the 30 of their papers we have counts for
10 papers · 2 filters
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…