Thiago Alves Lima

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About

Thiago Alves Lima is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and control systems for mobile robots. His most-cited paper, "Trajectory tracking control of a mobile robot using lidar sensor for position and orientation estimation" (2016), has garnered 13 citations and represents a key contribution to the field. In this study, Lima investigated trajectory tracking control for wheeled mobile robots, employing a laser rangefinder (LiDAR) sensor to estimate the robot's position and orientation—a technique he rigorously compared against conventional odometry methods that rely on encoder data. This work highlights his focus on improving localization accuracy in real-world robotic systems, addressing fundamental challenges in autonomous navigation. Lima’s research bridges theoretical control algorithms with practical sensor integration, offering insights that are valuable for students and engineers developing robust mobile robots. His contributions demonstrate a commitment to advancing sensor-based estimation techniques, laying groundwork for more reliable and precise autonomous systems in applications ranging from industrial automation to service robotics.