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Angus Fung

7 accepted papers

2026

Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach

ICRA 2026poster

Hand-drawn maps can be used to convey navigation instructions between humans and robots in a natural and efficient manner. However, these maps can often contain inaccuracies such as scale distortions and missing landmarks which present challenges for mobile robot navigation. This paper introduces a …

2026

X-Nav: Learning End-To-End Cross-Embodiment Navigation for Mobile Robots

ICRA 2026poster

Existing navigation methods are primarily designed for specific robot embodiments, limiting their generalizability across diverse robot platforms. In this paper, we introduce X-Nav, a novel framework for end-to-end cross-embodiment navigation where a single unified policy can be deployed across vari…

2025

Find Everything: A General Vision Language Model Approach to Multi-Object Search

IROS 2025

Efficient navigation and search in unknown environments for multiple objects is a fundamental challenge in robotics, particularly in applications such as warehouse management, domestic assistance, and search-and-rescue. The Multi-Object Search (MOS) problem involves navigating to a sequence of locat

Cited by 8SourcecodeScholar
2025

Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach

RA-L 2025

Hand-drawn maps can be used to convey navigation instructions between humans and robots in a natural and efficient manner. However, these maps can often contain inaccuracies such as scale distortions and missing landmarks which present challenges for mobile robot navigation. This paper introduces a

Cited by 11SourceScholar
2023

Robots Autonomously Detecting People: A Multimodal Deep Contrastive Learning Method Robust to Intraclass Variations

RA-L 2023

Robotic detection of people in crowded and/or cluttered human-centered environments including hospitals, stores and airports is challenging as people can become occluded by other people or objects, and deform due to clothing or pose variations. There can also be loss of discriminative visual feature

Cited by 17SourceScholar
2020

AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM

ICRA 2020poster

In order to relate information across cameras in a Dynamic Camera Cluster (DCC), an accurate time-varying set of extrinsic calibration transformations need to be determined. Previous calibration approaches rely solely on collecting measurements from a known fiducial target which limits calibration a…

Cited by 5SourcecodeScholar