Adrian Lendinez Ibanez

About

Adrian Lendinez Ibanez is a researcher focused on accessible, cost-effective robotics, with a particular emphasis on Simultaneous Localization and Mapping (SLAM). His major contributions center on democratizing advanced robotic navigation by demonstrating that SLAM—a complex problem of mapping an unknown environment while tracking a robot's location—can be implemented using affordable, widely available hardware like Arduino microcontrollers and the open-source Robot Operating System (ROS). His most cited work, "An implementation of SLAM using ROS and Arduino" (2017, 8 citations), provides a detailed, verified blueprint for building an inexpensive differential drive robot capable of SLAM. A follow-up paper further refines this approach, emphasizing practicality and simplicity. While his citation counts are modest, the true impact of Lendinez Ibanez's work lies in its educational and accessibility value. By stripping away the high cost and complexity typically associated with SLAM, he has created a powerful, hands-on resource for students, hobbyists, and researchers entering the field, enabling them to experiment with and understand foundational robotics concepts without requiring expensive specialized equipment.

Research Focus

Key Achievements

Top Papers

1. 1
   An implementation of SLAM using ROS and Arduino

   8 citations · 2017
2. 2
   A Simple, Cost-Effective and Practical Implementation of SLAM Using ROS and Arduino

   3 citations · 2017

Key Collaborators

Contact & Links