AIConfPaper
← Search

Linh Nguyen

7 accepted papers

2025

Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning

Binh T. Nguyen, M. Manzur Murshed, Tanveer A. Choudhury, Kathleen Keogh, Gayan Kahandawa Appuhamillage, Linh Nguyen
RA-L 2025

This paper presents <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MIDI</b> (<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</b>inimum d<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink=

Cited by 0Source ↗Scholar ↗
2025

Provable Methods for Searching with an Imperfect Sensor

Prahlad Narasimhan Kasthurirangan, Linh Nguyen, Michael Perk, Nilanjan Chakraborty, Joseph S. B. Mitchell
ICRA 2025

Assume that a target is known to be present at an unknown point among a finite set of locations in the plane. We search for it using a mobile robot that has imperfect sensing capabilities. It takes time for the robot to move between locations and search a location; we have a total time budget within

Cited by 1Source ↗Scholar ↗
2025

SuperRAG: Beyond RAG with Layout-Aware Graph Modeling

Chening Yang, Duy-Khanh Vu, Minh-Tien Nguyen, Xuan-Quang Nguyen, Linh Nguyen, Hung Le
NAACL 2025industry

This paper introduces layout-aware graph modeling for multimodal RAG. Different from traditional RAG methods that only deal with flat text chunks, the proposed method takes into account the relationship of multimodalities by using a graph structure. To do that, a graph modeling structure is defined…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2024

Connectivity-Preserving Distributed Informative Path Planning for Mobile Robot Networks

Thanh Binh Nguyen, Truong X. Nghiem, Linh Nguyen, Hung M. La, Thang Nguyen
RA-L 2024

This letter addresses the distributed informative path planning (IPP) problem for a mobile robot network to optimally explore a spatial field. Each robot is able to gather noisy environmental measurements while navigating the environment and build its own model of a spatial phenomenon using the Gaus

Cited by 7Source ↗Scholar ↗
2024

SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning

Thanh-Thien Le, Viet Dao, Linh Nguyen, Thi-Nhung Nguyen, Linh Ngo, Thien Nguyen
NAACL 2024long

Continual event detection is a cornerstone in uncovering valuable patterns in many dynamic practical applications, where novel events emerge daily. Existing state-of-the-art approaches with replay buffers still suffer from catastrophic forgetting, partially due to overly simplistic objective aggrega…

Cited by 8Source ↗PDF ↗Scholar ↗
2022

Collision-free Minimum-time Trajectory Planning for Multiple Vehicles based on ADMM

Thanh Binh Nguyen, Thang Nguyen, Truong Nghiem, Linh Nguyen, Jose Baca, Pablo Rangel +1
IROS 2022poster

The paper presents a practical approach for planning trajectories for multiple vehicles where both collision avoidance and minimum travelling time are simultaneously considered. It is first proposed to exploit the mixed-integer programming (MIP) approach to formulate the collision avoidance paradigm…

Cited by 4Source ↗Scholar ↗