Adam Seewald

About me

About me

Hi 👋! I am a Postdoc at Yale University's GRAB Lab, where I focus on environmental applications involving ground and aerial robots. My research interests lie at the intersection of robotics, computer science, and optimal control, specifically applied to the navigation and control of field robots.

I did my Ph.D. work (2022) in robotics at the Unmanned Aerial Systems Center at the University of Southern Denmark with professor Ulrik Pagh Schultz, where I developed simultaneous path planning and task scheduling for the Opterra drone, an aerial robot for precision agriculture. I have been researching different techniques for this, including periodic modeling, data-driven control, and coverage planning.

I got my M.Sc. (2018) in computer science at the Altair Robotics Lab at Verona University in Italy with professor Paolo Fiorini, where I studied obstacle avoidance and trajectory generation using indirect methods for quadrotors.


- adam AT seewald DOT email -
9 Hillhouse Ave., Mason Lab, Room B5 -
- my {  github, ORCID iD iconorcid, Scholar iconscholar, linkedin } -


I grew up in western Slovakia, bouncing between Bratislava and Sasinkovo, a small winemakers' village less than an hour's drive from the capital. Outside of my work, I'm an avid space exploration enthusiast. In my free time, I love outdoor activities like open water swimming, hiking, cycling, and running.

News 📢

Our paper on the TeamPlay project that deals with energy/time/security tradeoffs for different use cases including UAVs is out! Check out the preprint:
We will be presenting our work on planning-scheduling for aerial robots at #IROS2022 with Hector, Henrik, and Ulrik later today! Check out the preprint:
I will be starting my Postdoc at the GRAB Lab at Yale tomorrow!