Physical AI · Humanoid Robotics · VLA Models · ROS 2 · MPC · Sensor Fusion · Autonomous Navigation
I work on robotics and autonomous systems, with a current focus on Physical AI for industrial humanoid robots.
My background combines optimal control, state estimation, robot navigation, ROS 2 systems, and machine learning, with completed work on UAV autonomy and current research/development on Vision-Language-Action systems for humanoid robots.
Accepted at IEEE ICRA 2026 Xplore Workshop — Oral Presentation
This work presents a robot-agnostic autonomous navigation framework that combines:
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LiDAR-based Gaussian occupancy representation
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A* rolling-horizon planning
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Nonlinear Model Predictive Control
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Bayesian Optimization for MPC parameter tuning
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Simulation-to-real deployment on a Unitree Go2 quadruped robot
---Go2 quadruped robot. The same pipeline is also testd into the unitree G1 robot
➡️ https://github.com/talos-robotics-ai/Go2_navigation
➡️ https://github.com/Relo02/Navigation
- Email: [email protected]
- LinkedIn: https://www.linkedin.com/in/lorenzo-ortolani-6135b7240/
⭐ I enjoy turning robotic systems, Physical AI, and complex autonomous software into real-world robotic capabilities.

