Max Robotics — Global Service Robot Directory + US Certification

About

Amir H. Tamjidi is a robotics researcher whose work centers on autonomous navigation, exploration, and human-robot interaction, with a particular focus on mobile robot localization and mapping in both indoor and outdoor environments. His most influential contribution, the "Histogram based frontier exploration" paper (44 citations), introduces a method that guides robots toward the boundaries between known and unknown areas in a map, enabling efficient autonomous exploration of unknown spaces. Tamjidi also made significant advances in pose tracking with his "Feature-Based Laser Scan Matching" work (33 citations), which achieves high-speed, accurate localization by matching extracted features from consecutive laser scans. His research extends to SLAM using single laser range finders and vision-based navigation in grassland environments, demonstrating versatility across sensing modalities. Notably, his work on object handover for assistive robots explores how robots can choose optimal configurations to transfer objects to humans, bridging autonomous navigation with human-centered robotics. With a career spanning foundational techniques in frontier exploration and feature matching, Tamjidi’s contributions continue to inform modern approaches to robot autonomy and human-robot collaboration.