Background and Work

This page holds the detailed explanation of my engineering background, research direction, and implementation work.

Core focus

  • Autonomy on real robots: ROS 2 integration, Nav2 tuning, and deployment workflows.
  • Semantic mapping: confirmed-only object memory for robust goal selection.
  • Perception and navigation: RGB-D, LiDAR pipelines, TF alignment, localization, and planning.
  • System engineering: launch tooling, bagging, debugging timing and QoS, and repeatable experiments.

Education

MSc Robotics Engineering, University of Genoa (2023-2025)

Thesis: Semantic Object-Goal Navigation on a Quadruped Robot in Known Environments (IIT DLS)

BSc Electrical Engineering, Qazvin Azad University (2018-2023)

Thesis: Optimal PID Controller Tuning for Time-Delayed Systems Using Ant Colony Optimization

Selected projects

Spot Semantic Navigation

Built a two-stage object-goal navigation pipeline on Boston Dynamics Spot with ROS 2, Nav2, and a stable semantic object database.

Voice-to-Goal Interface

Implemented speech-driven target selection using Whisper and embedding matching, then generated safe standoff goals for Nav2 execution.

ACO-Based PID Tuning

Bachelor thesis work on metaheuristic PID tuning for time-delayed systems using ACO and ITAE minimization.