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Navigating toward specific objects in unknown environments without additional training, known as Zero-Shot object navigation, poses a significant challenge in the field of robotics, which demands high levels of auxiliary information and strategic planning.
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Alec Radford et al · 2021
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Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum and Jonathan Tompson · 2022
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Matt Deitke et al · 2022
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Zhao Mandi, Fangchen Liu, Kimin Lee and Pieter Abbeel · 2022
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“A few-shot learning-based reward estimation for mapless navigation of mobile robots using a siamese convolutional neural network”
“PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav”
Ram Ramrakhya, Dhruv Batra, Erik Wijmans and Abhishek Das · 2023
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“L3mvn: Leveraging large language models for visual target navigation”
Bangguo Yu, Hamidreza Kasaei and Ming Cao · 2023
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“Vlfm: Vision-language frontier maps for zero-shot semantic navigation”
Naoki Yokoyama et al · 2023
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“Bridging zero-shot object navigation and foundation models through pixel-guided navigation skill”
Wenzhe Cai et al · 2023
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“Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation”
Samir Gadre et al · 2023
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Vernon Kok, Micheal Olusanya and Absalom Ezugwu · 2022
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Haokuan Luo, Albert Yue, Zhang-Wei Hong and Pulkit Agrawal · 2022
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Santhosh Ramakrishnan et al · 2022
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Arjun Majumdar et al · 2022
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Liunian Li et al · 2022
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Dhruv Shah et al · 2023
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“Esc: Exploration with soft commonsense constraints for zero-shot object navigation”
Kaiwen Zhou et al · 2023
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