cutlerm [at] mit [dot] edu
Decoupled Multi-agent Path Planning
John (Jack) Quindlen,
This project aims to develop a multiagent path planning algorithm that finds collision-free trajectories for a team of mobile robots.
Reinforcement Learning via Multi-Fidelity Simulators (MFRL)
This project presents a framework for efficient RL in a scenario where multiple simulators of a target task are available, each with varying levels of fidelity.
This project aims to develop a variable-pitch quadrotor capable of aggressive aerobatic maneuvers which stretch beyond the current abilities of typical fixed-pitch quadrotors.