Billy Okal — accepted AI-conference papers

2025

X-MOBILITY: End-to-End Generalizable Navigation via World Modeling

Wei Liu, Huihua Zhao, Chenran Li, Joydeep Biswas, Billy Okal, Pulkit Goyal +2

ICRA 2025

General-purpose navigation in challenging environments remains a significant problem in robotics, with current state-of-the-art approaches facing myriad limitations. Classical approaches struggle with cluttered settings and require extensive tuning, while learning-based methods face difficulties gen

Cited by 16 Source ↗code ↗Scholar ↗

2016

Learning socially normative robot navigation behaviors with Bayesian inverse reinforcement learning

Billy Okal, Kai Oliver Arras

ICRA 2016

Mobile robots that navigate in populated environments require the capacity to move efficiently, safely and in human-friendly ways. In this paper, we address this task using a learning approach that enables a mobile robot to acquire navigation behaviors from demonstrations of socially normative human

Cited by 121 Source ↗Scholar ↗