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 view robotics as an important conerstone to further our understanding of AI and our own mind. I strongly believe that the development of intelligence is strongly couple to 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 love running, rowing at Polytechnic Rowing Club in Zurich and dancing Salsa Cubana. I enjoy getting to know new perspectives on life and debating complex philosophical, sociatal and technical issues.

If you are interested in what I do, please reach out. I am always down for coffee!

✨ Current Focus

  • Motion planning and trajectory optimization in learned environments
  • Combining learning-based methods with classical optimization for robot planning and control

🧪 Experience