Emily Scheide — accepted AI-conference papers

2024

Communicating Intent as Behaviour Trees for Decentralised Multi-Robot Coordination

Rhett Hull, Diluka Moratuwage, Emily Scheide, Robert Fitch, Graeme Best

ICRA 2024poster

We propose a decentralised multi-robot coordination algorithm that features a rich representation for encoding and communicating each robot’s intent. This representation for “intent messages” enables improved coordination behaviour and communication efficiency in difficult scenarios, such as those w…

Cited by 1 Source ↗Scholar ↗

2021

Behavior Tree Learning for Robotic Task Planning through Monte Carlo DAG Search over a Formal Grammar

Emily Scheide, Graeme Best, Geoffrey A. Hollinger

ICRA 2021poster

We present an algorithm for learning behavior trees for robotic task planning, which alleviates the need for time-intensive or infeasible manual design of control architectures. Our method involves representing the search space of behavior trees as a formal grammar and searching over this grammar by…

Cited by 25 Source ↗Scholar ↗