activity
20242026
most citedDevelopment of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence

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

collaborators

30 papers

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.CV2026

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…

cs.RO2026

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…

cs.RO2026

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,…