Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation

15 September 2023

Papers citing "Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation"

8 / 8 papers shown

Title
3DWG: 3D Weakly Supervised Visual Grounding via Category and Instance-Level Alignment Xianrui Li Jing Liu Nuowei Han Liang Heng Y. Guo Hao Dong Yang Liu 71 0 0 03 May 2025
Duoduo CLIP: Efficient 3D Understanding with Multi-View Images Han-Hung Lee Yiming Zhang Angel X. Chang 3DPC 45 3 0 17 Jun 2024
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding Senqiao Yang Jiaming Liu Ray Zhang Mingjie Pan Zoey Guo Xiaoqi Li Zehui Chen Peng Gao Yandong Guo Shanghang Zhang 3DV 23 58 0 21 Dec 2023
Visual Language Maps for Robot Navigation Chen Huang Oier Mees Andy Zeng Wolfram Burgard LM&Ro 159 344 0 11 Oct 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Ishika Singh Valts Blukis Arsalan Mousavian Ankit Goyal Danfei Xu Jonathan Tremblay D. Fox Jesse Thomason Animesh Garg LM&Ro LLMAG 120 624 0 22 Sep 2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah B. Osinski Brian Ichter Sergey Levine LM&Ro 158 436 0 10 Jul 2022
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings Arjun Majumdar Gunjan Aggarwal Bhavika Devnani Judy Hoffman Dhruv Batra LM&Ro 149 149 0 24 Jun 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021