A Robotics & AI research engineer focused on safe humanoid systems. I’m completing my master’s at the Technical University of Munich and writing my thesis with a Silicon Valley-based humanoid robotics company, where I develop language-guided dexterous manipulation using foundation models.

My mission is to make humanoid autonomy deployable at scale in human environments through formal safety guarantees — from semantic intent to torque-level execution. Long-term, I’m building toward a European physical AI safety company developing certifiable safety infrastructure.

Previously, I worked as an AI/ML research intern at BMW and completed the Siemens mentoring programme. My research experience includes safe human-robot collaboration (IEEE Transactions on Robotics, 2025), neuromorphic computing for tactile sensing, and spatial perception (SLAM) for autonomous drone navigation.

I build physical AI systems using Python, PyTorch, and C++.

• Website: https://leonardo-maglanoc.com/
• LinkedIn: https://www.linkedin.com/in/leonardo-maglanoc
• Paper: https://arxiv.org/abs/2412.10180
• Demo: https://youtu.be/IUAeZGau28E