Open projects for WPI students. Filter by topic and click a card to read the details and desired skills.

This project uses vision-language models to give aerial robots onboard semantic safety awareness. Our first paper on this topic was accepted at two IROS 2026 workshops.

This project explores Rust as a language for safe and performant robotics software on aerial robots. It connects directly to the Why Rust for Robotics workshop that our lab led at IROS 2026.

This project develops high-order control barrier functions that account for actuator dynamics, keeping quadrotors safe during aggressive flight in clutter.

This project teaches quadrotors agile flight in cluttered and visually degraded environments directly from pixels, using differentiable simulators and novel sensors.

This project builds a visual impedance teleoperation framework that lets a human operator feel and steer cooperative aerial manipulation of cable-suspended payloads.

This project develops differential cable force allocation to improve disturbance rejection in teams of aerial robots carrying cable-suspended loads.

This project develops geometric impedance control on the SE(3) manifold for multi-robot aerial manipulation and physical human-robot interaction.

This project learns contraction metrics for robust control of hybrid aerial robots with suspended payloads.