Daniel Choi — accepted AI-conference papers

2025

Find Everything: A General Vision Language Model Approach to Multi-Object Search

Daniel Choi, Angus Fung, Haitong Wang, Aaron Hao Tan

IROS 2025

Efficient navigation and search in unknown environments for multiple objects is a fundamental challenge in robotics, particularly in applications such as warehouse management, domestic assistance, and search-and-rescue. The Multi-Object Search (MOS) problem involves navigating to a sequence of locat

Cited by 8 Source ↗code ↗Scholar ↗

2025

OLiVia-Nav: An Online Lifelong Vision Language Approach for Mobile Robot Social Navigation

Siddarth Narasimhan, Aaron Hao Tan, Daniel Choi, Goldie Nejat

ICRA 2025

Service robots in human-centered environments such as hospitals, office buildings, and long-term care homes need to navigate while adhering to social norms to ensure the safety and comfortability of the people they are sharing the space with. Furthermore, they need to adapt to new social scenarios t

Cited by 20 Source ↗Scholar ↗