I’m a PhD student at Massachusetts Institute of Technology, where I am co-advised by Nick Roy and Leslie Kaelbling. My research focuses on task and motion planning in a world of large pretrained models and how the structure of classical planning can be combined with the commonsense knowledge these models bring.
Previously, I completed my Master’s degree working with Jonathan How on multi-robot coordination in unknown and uncertain environments. Before that, I earned my B.S. in Robotics from the University of Michigan (Go Blue!).
In my free time, I enjoy musicguitarpiano, sportsbasketballsoccertennisgolfskiing, and travelling19 countries visited. Check out my pop/rock cover band, Seldom Chalant!
An auction-based allocation framework for heterogeneous robot teams when task requirements are uncertain.
@article{rossano2026uncertainty,title={Uncertainty-Aware Multi-Robot Task Allocation With Strongly Coupled Inter-Robot Rewards},author={Rossano, Ben and Lim, Jaein and How, Jonathan P.},journal={arXiv preprint arXiv:2509.22469},year={2026},}
IROS, 2026