Projects and Open Positions

You can find below an overview of ongoing and past projects from the TRIO Lab at Carnegie Mellon University and from prior appointments at Inria, University of Toronto, and EPFL.

Open Positions

We are always looking for Master’s and Undergraduate students to join our lab!
Interested in collaborating or joining? Get in touch and let us know which of the below projects you are interested in!

Featured

Global optimization for realistic robotics ...tackling non-convex, non-smooth and long-horizon problems

We push the boundaries of what optimization problems are solvable in robotics, by developing tools based on global optimization.

robotics optimization

Sample-efficient learning ...using global optimization

We explore how to reduce sample complexity in data-driven policy learning through global optimization tools.

robotics optimization intelligence

Seamless modeling and optimization ... to lower the barrier of entry to certifiable robotics

We develop software and tools that automate the process of formulating, solving, and certifying global optimization problems for robotics.

software

Optimal problem formulation ...closing the loop between solvers and formulation

We explore how to automatically design optimization problems for robotics.

robotics optimization

Non-common sensors for robotics ... enabling more robust spatial intelligence

We use sound, radio frequencies, and other modalities for spatial perception for redundancy and robustness in challenging environments.

robotics optimization intelligence