1 citations · 2 across the 30 of their papers we have counts for
14 papers · 1 filter
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…