Ibrahim Hroob — accepted AI-conference papers

2026

Navigating Narrow Spaces: A Comprehensive Framework for Agricultural Robots

Geesara Kulathunga, Abdurrahman Yilmaz, Zhuoling Huang, Ibrahim Hroob, Leonardo Guevara, Jaspreet Singh +2

ICRA 2026poster

Navigating within narrow spaces is a fundamental challenge in robotics, requiring precise localisation, localisation error recovery, dynamic path planning, and adaptive control for effective manoeuvring. This paper presents a modular and perception-driven navigation framework designed for constraine…

Cited by 0 Source ↗Scholar ↗

2025

Navigating Narrow Spaces: A Comprehensive Framework for Agricultural Robots

Geesara Kulathunga, Abdurrahman Yilmaz, Zhuoling Huang, Ibrahim Hroob, Jaspreet Singh, Leonardo Guevara +2

RA-L 2025

Navigating within narrow spaces is a fundamental challenge in robotics, requiring precise localisation, localisation error recovery, dynamic path planning, and adaptive control for effective manoeuvring. This paper presents a modular and perception-driven navigation framework designed for constraine

Cited by 2 Source ↗Scholar ↗

2024

Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization

Ibrahim Hroob, Benedikt Mersch, Cyrill Stachniss, Marc Hanheide

RA-L 2024

Mobile robots increasingly operate in real-world environments that are subject to change over time. Accurate and robust localization is, however, crucial for the effective operation of autonomous mobile systems. In this letter, we tackle the challenge of developing a generalizable learned filter for

Cited by 4 Source ↗Scholar ↗