Amir Gholami

Qazvin Islamic Azad University, University of Calgary

Papers

Total Citations

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About

Amir Gholami is a robotics researcher specializing in humanoid locomotion, terrain traversability, and autonomous navigation within highly unstructured environments. His work bridges simulation and real-world deployment, with a focus on multi-legged robots operating in confined, geometrically complex spaces. Gholami’s most impactful contribution is a comprehensive framework for evaluating terrain traversability using advanced point cloud processing techniques, including voxel filtering, boundary detection, and mesh generation, enabling robots to safely navigate heterogeneous terrains. This work, published in 2025, has already garnered 4 citations, reflecting its relevance to field robotics. He also contributed to the design and kinematics analysis of the MRL-HSL humanoid robot, a simulation platform that earned 8 citations and supported the MRL Champion Team’s victory in the Humanoid TeenSize League at RoboCup 2019. Gholami’s research is notable for integrating sensing, modeling, and control to push the boundaries of legged robotics in real-world, unstructured settings—a critical step toward autonomous disaster response and exploration.