activity
20242026
collaborators

9 papers

cs.RO2026

HP2-SLAM: Adaptive Hybrid ICP for Robust and Efficient LiDAR SLAM

Nam Tran, Thu Tran, Hieu Phan +4

Achieving robustness, accuracy, and efficiency simultaneously remains a central challenge in light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM). While…

cs.RO2026

A Contrastive Fewshot RGBD Traversability Segmentation Framework for Indoor Robotic Navigation

Qiyuan An, Tuan Dang, Fillia Makedon

Indoor traversability segmentation aims to identify safe, navigable free space for autonomous agents, which is critical for robotic navigation. Pure vision-based models often fail…

cs.RO2026

T2Nav Algebraic Topology Aware Temporal Graph Memory and Loop Detection for ZeroShot Visual Navigation

Quang-Anh N. D., Duc Pham, Minh-Anh Nguyen +2

Deploying autonomous agents in real world environments is challenging, particularly for navigation, where systems must adapt to situations they have not encountered before. Traditi…

cs.CV2025

TriaGS: Differentiable Triangulation-Guided Geometric Consistency for 3D Gaussian Splatting

Quan Tran, Tuan Dang

3D Gaussian Splatting is crucial for real-time novel view synthesis due to its efficiency and ability to render photorealistic images. However, building a 3D Gaussian is guided sol…

cs.RO2025

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation

Tuan Dang, Manfred Huber

Navigation is a fundamental capacity for mobile robots, enabling them to operate autonomously in complex and dynamic environments. Conventional approaches use probabilistic models…

cs.CV2024

Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors

Pham Phuc, Son Vuong, Khang Nguyen +1

Deep learning-based object detection has become ubiquitous in the last decade due to its high accuracy in many real-world applications. With this growing trend, these models are in…

cs.RO2024

Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots

Khang Nguyen, Tuan Dang, Manfred Huber

Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many robotic applications. Robots need to identify which objects, along with their positions an…

cs.RO2024

V3D-SLAM: Robust RGB-D SLAM in Dynamic Environments with 3D Semantic Geometry Voting

Tuan Dang, Khang Nguyen, Mandfred Huber

Simultaneous localization and mapping (SLAM) in highly dynamic environments is challenging due to the correlation complexity between moving objects and the camera pose. Many method…

cs.RO2024

Real-time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision

K. Nguyen, T. Dang, M. Huber

Perceiving a three-dimensional (3D) scene with multiple objects while moving indoors is essential for vision-based mobile cobots, especially for enhancing their manipulation tasks.…