Firman Ardiyansyah

Papers

Total Citations

H-Index

About

Firman Ardiyansyah is a robotics researcher whose work centers on autonomous navigation and motion planning for mobile robots. His primary contribution lies in developing practical, simulator-based approaches to online motion planning, as demonstrated in his most-cited paper, "Online Motion Planning For Mobile Robot" (2019). This work introduces a real-time planning system that leverages a self-built simulation platform programmed in Python, specifically designed for holonomic wheeled robots. By integrating data collection directly from the robot’s onboard sensors into the simulator, Ardiyansyah’s method enables adaptive, on-the-fly path generation without relying on pre-mapped environments—a key advancement for dynamic, unstructured settings. While his citation count (2) reflects the early-stage nature of his research, the paper’s focus on bridging simulation and real-world deployment highlights his commitment to accessible, low-cost robotic solutions. Ardiyansyah’s work is particularly relevant for students and engineers interested in practical mobile robotics, offering a foundational framework for integrating perception, planning, and control in autonomous systems.