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In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potential in a variety of practical applications.
A frontier-based approach for autonomous exploration
Brian Yamauchi · 1997
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Ff: The fast-forward planning system
Jörg Hoffmann · 2001
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Lifelong planning a*́
Sven Koenig, Maxim Likhachev, and David Furcy · 2004
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Multi-agent coordination by temporal plan fusion: Application to combat search and rescue
Mohamad K. Allouche and Abdeslem Boukhtouta · 2010
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Localization for multirobot formations in indoor environment
Haoyao Chen, Dong Sun, Jie Yang, and Jian Chen · 2010
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Theta*: Any-angle path planning on grids
Kenny Daniel, Alex Nash, Sven Koenig, and Ariel Felner · 2010
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Width and inference based planners: Siw, bfs (f), and probe
Nir Lipovetzky, Miquel Ramirez, Christian Muise, and Hector Geffner · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Conflict-based search for optimal multi-agent pathfinding
Guni Sharon, Roni Stern, Ariel Felner, and Nathan R Sturtevant · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Hinge-loss markov random fields and probabilistic soft logic
Stephen H Bach, Matthias Broecheler, Bert Huang, and Lise Getoor · 2017
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niebner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, and Anton Van Den Hengel · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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The secret sharer: Evaluating and testing unintended memorization in neural networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song · 2019
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Touchdown: Natural language navigation and spatial reasoning in visual street environments
Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, and Yoav Artzi · 2019
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Motion planning for point-to-point navigation of spherical robot using position feedback
Vikranth Dwaracherla, Shantanu Thakar, Leena Vachhani, Abhishek Gupta, Aayush Yadav, and Sahil Modi · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova · 2019
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Vision-based navigation with language-based assistance via imitation learning with indirect intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett, and Bill Dolan · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames
Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, and Dhruv Batra · 2019
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A survey on nlp based text summarization for summarizing product reviews
Ravali Boorugu and G. Ramesh · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Natural language processing
KR1442 Chowdhary and KR Chowdhary · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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The influence of preprocessing on text classification using a bag-of-words representation
Yaakov HaCohen-Kerner, Daniel Miller, and Yair Yigal · 2020
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Room-across-room: Multilingual vision-and-language navigation with dense spatiotemporal grounding
Alexander Ku, Peter Anderson, Roma Patel, Eugene Ie, and Jason Baldridge · 2020
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Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, and Natalia Díaz-Rodríguez · 2020
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Leader-following formation control of nonholonomic mobile robots with velocity observers
Xinwu Liang, Hesheng Wang, Yun-Hui Liu, Zhe Liu, and Weidong Chen · 2020
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Gnm: Gridcell navigational model
Alireza Naghizadeh, Samaneh Berenjian, David J Margolis, and Dimitris N Metaxas · 2020
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Reverie: Remote embodied visual referring expression in real indoor environments
Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, and Anton van den Hengel · 2020
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Advising reinforcement learning toward scaling agents in continuous control environments with sparse rewards
Hailin Ren and Pinhas Ben-Tzvi · 2020
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Alfred: A benchmark for interpreting grounded instructions for everyday tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, and Dieter Fox · 2020
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Neural-network-based auv navigation for fast-changing environments
Shanshan Song, Jun Liu, Jiani Guo, Jun Wang, Yanxin Xie, and Jun-Hong Cui · 2020
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Vision-and-dialog navigation
Jesse Thomason, Michael Murray, Maya Cakmak, and Luke Zettlemoyer · 2020
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Lag output synchronization for multiple output coupled complex networks with positive semidefinite or positive definite output matrix
Lin-Hao Zhao, Jin-Liang Wang, and Yu Zhang · 2020
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Neighbor-view enhanced model for vision and language navigation
Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, and Tieniu Tan · 2021
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A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
Sergio Cebollada, Luis Payá, María Flores, Adrián Peidró, and Oscar Reinoso · 2021
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Landmark-rxr: Solving vision-and-language navigation with fine-grained alignment supervision
Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, and Liang Wang · 2021
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Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion
Yicheng Li, Yingfeng Cai, Reza Malekian, Hai Wang, Miguel Angel Sotelo, and Zhixiong Li · 2021
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Learning communication for cooperation in dynamic agent-number environment
Weiwei Liu, Shanqi Liu, Junjie Cao, Qi Wang, Xiaolei Lang, and Yong Liu · 2021
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Trajectory planning for multi-robot systems: Methods and applications
Ángel Madridano, Abdulla Al-Kaff, David Martín, and Arturo De La Escalera · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Rlds: an ecosystem to generate, share and use datasets in reinforcement learning
Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphael Marinier, Jeremiah Harmsen, et al · 2021
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From machine learning to robotics: Challenges and opportunities for embodied intelligence, 2021
Nicholas Roy, Ingmar Posner, Tim Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Dan Koditschek, Tomas Lozano-Perez, Vikash Mansinghka, Christopher Pal, Blake Richards, Dorsa Sadigh, Stefan Schaal, Gaurav Sukhatme, Denis Therien, Marc Toussaint, and Michiel Van de Panne · 2021
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Ving: Learning open-world navigation with visual goals
Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, and Sergey Levine · 2021
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Terrain identification for humanoid robots applying convolutional neural networks
Murilo Mendonça Venâncio, Rogério Sales Gonçalves, and Reinaldo Augusto da Costa Bianchi · 2021
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Dc-net: Dual context network for 2d medical image segmentation
Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, and Xiaopeng Zhang · 2021
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An attention-based hybrid deep learning framework integrating temporal coherence and dynamics for discriminating schizophrenia
Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D Calhoun, and Jing Sui · 2021
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Soon: Scenario oriented object navigation with graph-based exploration
Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, and Xiaodan Liang · 2021
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Do as i can, not as i say: Grounding language in robotic affordances, 2022
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan, and Andy Zeng · 2022
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A behavior-based reinforcement learning approach to control walking bipedal robots under unknown disturbances
Richard Beranek, Masoud Karimi, and Mojtaba Ahmadi · 2022
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Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers
Jaemin Cho, Abhaysinh Zala, and Mohit Bansal · 2022
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Procthor: Large-scale embodied ai using procedural generation
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Kiana Ehsani, Jordi Salvador, Winson Han, Eric Kolve, Aniruddha Kembhavi, and Roozbeh Mottaghi · 2022
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Clip-nav: Using clip for zero-shot vision-and-language navigation
Vishnu Sashank Dorbala, Gunnar Sigurdsson, Robinson Piramuthu, Jesse Thomason, and Gaurav S Sukhatme · 2022
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What do navigation agents learn about their environment?
Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, and Roozbeh Mottaghi · 2022
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Clip on wheels: Zero-shot object navigation as object localization and exploration
Samir Yitzhak Gadre, Mitchell Wortsman, Gabriel Ilharco, Ludwig Schmidt, and Shuran Song · 2022
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Detection of driver health condition by monitoring driving behavior through machine learning from observation
Avelino J Gonzalez, Josiah M Wong, Emily M Thomas, Alec Kerrigan, Lauren Hastings, Andres Posadas, Kevin Negy, Annie S Wu, Santiago Ontanon, Yi-Ching Lee, et al · 2022
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Synthetic data–what, why and how?
James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N Cohen, and Adrian Weller · 2022
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Exploration in deep reinforcement learning: A survey
Pawel Ladosz, Lilian Weng, Minwoo Kim, and Hyondong Oh · 2022
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Deep reinforcement learning-based online domain adaptation method for fault diagnosis of rotating machinery
Guoqiang Li, Jun Wu, Chao Deng, Xuebing Xu, and Xinyu Shao · 2022
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Prediction and compensation of contour error of cnc systems based on lstm neural-network
Jiangang Li, Changgui Qi, Yanan Li, and Zenghao Wu · 2022
Prompt a robot to walk with large language models
Yen-Jen Wang, Bike Zhang, Jianyu Chen, and Koushil Sreenath · 2023
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Cocktail lstm and its application into machine remaining useful life prediction
Sheng Xiang, Jianghong Zhou, Jun Luo, Fuqiang Liu, and Yi Qin · 2023
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Llm a*: Human in the loop large language models enabled a* search for robotics
Hengjia Xiao and Peng Wang · 2023
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Self correspondence distillation for end-to-end weakly-supervised semantic segmentation
Rongtao Xu, Changwei Wang, Jiaxi Sun, Shibiao Xu, Weiliang Meng, and Xiaopeng Zhang · 2023
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Dual-stream representation fusion learning for accurate medical image segmentation
Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, and Xiaopeng Zhang · 2023
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Grounded language-image pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al · 2022
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Tightly coupled integration of gnss, ins, and lidar for vehicle navigation in urban environments
Shengyu Li, Shiwen Wang, Yuxuan Zhou, Zhiheng Shen, and Xingxing Li · 2022
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Robotic navigation based on experiences and predictive map inspired by spatial cognition
Dong Liu, Zhi Lyu, Qiang Zou, Xue Bian, Ming Cong, and Yu Du · 2022
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Sqa3d: Situated question answering in 3d scenes
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, and Siyuan Huang · 2022
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Zson: Zero-shot object-goal navigation using multimodal goal embeddings
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, and Dhruv Batra · 2022
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Metaheuristic based navigation of a reconfigurable robot through narrow spaces with shape changing ability
SM Bhagya P Samarakoon, MA Viraj J Muthugala, and Mohan Rajesh Elara · 2022
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Robotic navigation with large pre-trained models of language, vision, and action
Dhruv Shah · 2022
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Wave-like class activation map with representation fusion for weakly-supervised semantic segmentation
Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, and Xiaopeng Zhang · 2023
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Domainfeat: Learning local features with domain adaptation
Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, Yuyang Zhang, Bin Fan, and Xiaopeng Zhang · 2023
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Rssformer: Foreground saliency enhancement for remote sensing land-cover segmentation
Rongtao Xu, Changwei Wang, Jiguang Zhang, Shibiao Xu, Weiliang Meng, and Xiaopeng Zhang · 2023
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HAVEN: hierarchical cooperative multi-agent reinforcement learning with dual coordination mechanism
Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, and Guoliang Fan · 2023
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Consensus learning for cooperative multi-agent reinforcement learning
Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, and Guoliang Fan · 2023
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Ovrl-v2: A simple state-of-art baseline for imagenav and objectnav
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Llm-grounder: Open-vocabulary 3d visual grounding with large language model as an agent
Jianing Yang, Xuweiyi Chen, Shengyi Qian, Nikhil Madaan, Madhavan Iyengar, David F Fouhey, and Joyce Chai · 2023
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Neuromorphic electronics for robotic perception, navigation and control: A survey
Yi Yang, Chiara Bartolozzi, Haiyan H Zhang, and Robert A Nawrocki · 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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Merlin: Empowering multimodal llms with foresight minds
En Yu, Liang Zhao, Yana Wei, Jinrong Yang, Dongming Wu, Lingyu Kong, Haoran Wei, Tiancai Wang, Zheng Ge, Xiangyu Zhang, et al · 2023
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Robotic grasp detection based on category-level object pose estimation with self-supervised learning
Sheng Yu, Di-Hua Zhai, and Yuanqing Xia · 2023
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Large language models for robotics: A survey
Fanlong Zeng, Wensheng Gan, Yongheng Wang, Ning Liu, and Philip S Yu · 2023
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Jianyi Zhang, Xu Ji, Zhangchi Zhao, Xiali Hei, and Kim-Kwang Raymond Choo · 2023
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Autonomous driving system: A comprehensive survey
Jingyuan Zhao, Wenyi Zhao, Bo Deng, Zhenghong Wang, Feng Zhang, Wenxiang Zheng, Wanke Cao, Jinrui Nan, Yubo Lian, and Andrew F Burke · 2023
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Towards learning a generalist model for embodied navigation
Duo Zheng, Shijia Huang, Lin Zhao, Yiwu Zhong, and Liwei Wang · 2023
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Steve-eye: Equipping llm-based embodied agents with visual perception in open worlds
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Esc: Exploration with soft commonsense constraints for zero-shot object navigation
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, and Xin Eric Wang · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Dfmke: A dual fusion multi-modal knowledge graph embedding framework for entity alignment
Jia Zhu, Changqin Huang, and Pasquale De Meo · 2023
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Covariance matrix adaptation evolution strategy based on ensemble of mutations for parking navigation and maneuver of autonomous vehicles
Esther Tolulope Aboyeji, Oladayo S Ajani, and Rammohan Mallipeddi · 2024
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Etpnav: Evolving topological planning for vision-language navigation in continuous environments
Dong An, Hanqing Wang, Wenguan Wang, Zun Wang, Yan Huang, Keji He, and Liang Wang · 2024
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Semnav-hro: A target-driven semantic navigation strategy with human–robot–object ternary fusion
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Constraint-aware zero-shot vision-language navigation in continuous environments
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A survey on multimodal large language models for autonomous driving
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An adaptive multi-rrt approach for robot motion planning
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Path-following navigation in crowds with deep reinforcement learning
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Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
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Lsmcl: Long-term static mapping and cloning localization for autonomous robot navigation using 3d lidar in dynamic environments
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A curved path extraction method using rgb-d multimodal data for single-edge guided navigation in irregularly shaped fields
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Navid: Video-based vlm plans the next step for vision-and-language navigation
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Vision-and-language navigation today and tomorrow: A survey in the era of foundation models
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Information monitoring and adaptive information fusion of multi-source fusion navigation systems in complex environments
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Casit: Collective intelligent agent system for internet of things
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Navgpt: Explicit reasoning in vision-and-language navigation with large language models
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Structured preference optimization for vision-language long-horizon task planning
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A0: An affordance-aware hierarchical model for general robotic manipulation
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