Mario Gomez

Mario Gomez

Robotics Researcher focused on Control and Planning for Autonomous Systems

👋 Hi, I’m Mario!

I’m a Master’s student in Robotics, Systems and Control at ETH Zürich. I’m interested in building intelligent machines that can understand and interact with the physical world. My work is at the intersection of robot motion planning, control, and perception, with a focus on making algorithms that are both efficient and physically accurate. I see robotics as a way to better understand both artificial intelligence and human cognition. I believe intelligence develops through interaction with the real world.

I’ve worked on a range of robotics projects — from trajectory optimization using 3D Gaussian Splatting, to soft robotic manipulation with rope-based grippers, to motion planning for robotic juggling. My experience includes both simulation and real-world systems, such as the ANYmal quadruped and automated excavators with Gravis Robotics.

Apart from research I enjoy running, rowing, and dancing Salsa Cubana. I am big on debating complex philosophical, societal and technical issues.

If you are interested in what I do, please reach out. Always happy to grab a coffee and chat.

Current Focus

  • Combining learning-based methods with classical optimization for robot planning and control

Experience