Laporsha Dees — accepted AI-conference papers

2025

Computational Teaching for Driving via Multi-Task Imitation Learning

Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda +7

ICRA 2025

Learning motor skills for sports or performance driving is often done with professional instruction from expert human teachers, whose availability is limited. Our goal is to enable automated teaching via a learned model that interacts with the student similar to a human teacher. However, training su

Cited by 4 Source ↗Scholar ↗

2024

Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing

Jonathan DeCastro, Andrew Silva, Deepak Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees +1

CoRL 2024poster

Tight coordination is required for effective human-robot teams in domains involving fast dynamics and tactical decisions, such as multi-car racing. In such settings, robot teammates must react to cues of a human teammate's tactical objective to assist in a way that is consistent with the objective…

Cited by 2 Source ↗Scholar ↗