DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments-Reference-Cited by-同舟云学术

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

Author:

Ma Ji¹^ORCID,Dai Hongming²,Mu Yao³^ORCID,Wu Pengying¹^ORCID,Wang Hao²,Chi Xiaowei⁴,Fei Yang¹^ORCID,Zhang Shanghang²^ORCID,Liu Chang¹^ORCID

Affiliation:

1. Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China

2. State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China

3. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong

4. Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong

Funder

Beijing Nova Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference28 articles.

1. Object goal navigation using goal-oriented semantic exploration;Chaplot,2020

2. CAMON: Cooperative agents for multi-object navigation with LLM-based conversations;Wu,2024

3. Rearrangement: A challenge for embodied AI;Batra,2020

4. Matterport3D: Learning from RGB-D data in indoor environments;Chang,2018

5. Habitat-matterport 3D dataset (HM3D): 1000 large-scale 3D environments for embodied AI;Ramakrishnan,2021

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