Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation

no code implementations • 27 May 2024 • Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs-Campbell

We investigate the feasibility of deploying reinforcement learning (RL) policies for constrained crowd navigation using a low-fidelity simulator.

DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

1 code implementation • 13 Jul 2023 • Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs-Campbell

Motivated by recent advances in visual-language grounding and semantic navigation, we propose DRAGON, a guiding robot powered by a dialogue system and the ability to associate the environment with natural language.

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

2 code implementations • 3 Mar 2022 • Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Driggs-Campbell

We study the problem of safe and intention-aware robot navigation in dense and interactive crowds.

Motion Planning reinforcement-learning +2