Bryce Ikeda — accepted AI-conference papers

2025

Overlapping Social Navigation Principles: A Framework for Social Robot Navigation

Bryce Ikeda, Mark Higger, Christina Soyoung Song, J. Gregory Trafton

ICRA 2025

As autonomous robots become integrated into society, they must socially navigate around humans. We propose that effective social robot navigation relies on three key principles: social norms, perceived safety, and legibility. Our framework, Overlapping Social Navigation Principles, suggests that the

Cited by 1 Source ↗Scholar ↗

2024

ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning

Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel Szafir

IROS 2024poster

Robot Imitation Learning (IL) is a crucial technique in robot learning, where agents learn by mimicking human demonstrations. However, IL encounters scalability challenges stemming from both non-user-friendly demonstration collection methods and the extensive time required to amass a sufficient numb…

Cited by 3 Source ↗Scholar ↗