Self-adaptive Monte Carlo method for indoor localization of smart AGVs using LIDAR data. - Abdurrahman Yilmaz; Hakan Temeltas (Robotics Auton. Syst., 2019)

Fuzzy Controlled Adaptive Follow the Gap Obstacle Avoidance Algorithm. - Bilal Yucel; Abdurrahman Yilmaz; Osman Ervan; Hakan Temeltas (ICRAI, 2021)

Integration of affine ICP into the precise localization problem of smart-AGVs: Procedures, enhancements and challenges. - Abdurrahman Yilmaz; Hakan Temeltas (Trans. Inst. Meas. Control, 2021)

Feasibility Analysis of Path Planning Algorithms. - Elbera Allozi; Abdurrahman Yilmaz; Osman Ervan; Hakan Temeltas (INISTA, 2022)

A precise scan matching based localization method for an autonomously guided vehicle in smart factories. - Abdurrahman Yilmaz; Ecem Sumer; Hakan Temeltas (Robotics Comput. Integr. Manuf., 2022)

2-step indoor localization for 'smart AGVs ' ( 'Akıllı AGV 'ler ' için iki aşamalı iç mekan konumlama yaklaşımı) - Abdurrahman Yilmaz (2022)

Comparative Analysis of Unity and Gazebo Simulators for Digital Twins of Robotic Tomato Harvesting Scenarios. - Juan Pablo Espejel Flores; Abdurrahman Yilmaz; Luis Arturo Soriano Avendaño; Grzegorz Cielniak (TAROS (1), 2024)

Size Matters: Exploring the Impact of Scaling on Quadruped Robot Dynamics. - Faraz Rahvar; Abdurrahman Yilmaz (TAROS (2), 2024)

Resilient Timed Elastic Band Planner for Collision-Free Navigation in Unknown Environments. - Geesara Kulathunga; Abdurrahman Yilmaz; Zhuoling Huang; Ibrahim Hroob; Hariharan Arunachalam; Leonardo Guevara; Alexandr Klimchik; Grzegorz Cielniak; Marc Hanheide (CoRR, 2024)

A multi-stage localization framework for accurate and precise docking of autonomous mobile robots (AMRs). - Abdurrahman Yilmaz; Hakan Temeltas (Robotica, 2024)

Stiffness estimation of delicate objects using a soft haptic whisker. - Mohammad Sheikh Sofla; Abdurrahman Yilmaz; Grzegorz Cielniak; Marcello Calisti (RoboSoft, 2025)

Navigating Narrow Spaces: A Comprehensive Framework for Agricultural Robots. - Geesara Kulathunga; Abdurrahman Yilmaz; Zhuoling Huang; Ibrahim Hroob; Jaspreet Singh; Leonardo Guevara; Grzegorz Cielniak; Marc Hanheide (IEEE Robotics Autom. Lett., 2025)