Fetching the paper…
Reading the bibliography…
Humans have the remarkable ability to navigate through unfamiliar environments by solely relying on our prior knowledge and descriptions of the environment.
Subjective hierarchies in spatial memory
T. P. McNamara, J. K. Hardy, and S. C. Hirtle · 1989
Earlier work this paper cites.
A frontier-based approach for autonomous exploration
B. Yamauchi · 1997
Earlier work this paper cites.
Rapidly-exploring random trees: A new tool for path planning
S. M. LaValle et al · 1998
Earlier work this paper cites.
Differentially constrained mobile robot motion planning in state lattices
M. Pivtoraiko, R. A. Knepper, and A. Kelly · 2009
Earlier work this paper cites.
Toward understanding natural language directions
T. Kollar, S. Tellex, D. Roy, and N. Roy · 2010
Earlier work this paper cites.
Understanding natural language commands for robotic navigation and mobile manipulation
S. Tellex, T. Kollar, S. Dickerson, M. Walter, A. Banerjee, S. Teller, and N. Roy · 2011
Earlier work this paper cites.
Anytime motion planning using the rrt
S. Karaman, M. R. Walter, A. Perez, E. Frazzoli, and S. Teller · 2011
Earlier work this paper cites.
Octomap: An efficient probabilistic 3d mapping framework based on octrees
A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard · 2013
Earlier work this paper cites.
A natural language planner interface for mobile manipulators
T. M. Howard, S. Tellex, and N. Roy · 2014
Earlier work this paper cites.
Vqa: Visual question answering
S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, C. L. Zitnick, and D. Parikh · 2015
Earlier work this paper cites.
Continuous curvature path planning for semi-autonomous vehicle maneuvers using rrt
X. Lan and S. Di Cairano · 2015
Earlier work this paper cites.
Optimal path planning using rrt* based approaches: a survey and future directions
I. Noreen, A. Khan, and Z. Habib · 2016
Earlier work this paper cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Earlier work this paper cites.
Heuristic approaches in robot path planning: A survey
T. T. Mac, C. Copot, D. T. Tran, and R. De Keyser · 2016
Earlier work this paper cites.
Neural module networks
J. Andreas, M. Rohrbach, T. Darrell, and D. Klein · 2016
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Inferring and executing programs for visual reasoning
J. Johnson, B. Hariharan, L. Van Der Maaten, J. Hoffman, L. Fei-Fei, C. Lawrence Zitnick, and R. Girshick · 2017
Earlier work this paper cites.
Learning to reason: End-to-end module networks for visual question answering
R. Hu, J. Andreas, M. Rohrbach, T. Darrell, and K. Saenko · 2017
Earlier work this paper cites.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Earlier work this paper cites.
Driving on point clouds: Motion planning, trajectory optimization, and terrain assessment in generic nonplanar environments
P. Krüsi, P. Furgale, M. Bosse, and R. Siegwart · 2017
Earlier work this paper cites.
Neural-symbolic vqa: Disentangling reasoning from vision and language understanding
K. Yi, J. Wu, C. Gan, A. Torralba, P. Kohli, and J. Tenenbaum · 2018
Earlier work this paper cites.
Path planning for the mobile robot: A review
H.-y. Zhang, W.-m. Lin, and A.-x. Chen · 2018
Cited alongside, same era.
J. Mao, C. Gan, P. Kohli, J. B. Tenenbaum, and J. Wu · 2019
Cited alongside, same era.
Graph-based subterranean exploration path planning using aerial and legged robots
T. Dang, M. Tranzatto, S. Khattak, F. Mascarich, K. Alexis, and M. Hutter · 2020
Cited alongside, same era.
Gpt-3: Its nature, scope, limits, and consequences
L. Floridi and M. Chiriatti · 2020
Cited alongside, same era.
Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
R. Ranftl, K. Lasinger, D. Hafner, K. Schindler, and V. Koltun · 2020
Cited alongside, same era.
Grounded language-image pre-training
L. H. Li, P. Zhang, H. Zhang, J. Yang, C. Li, Y. Zhong, L. Wang, L. Yuan, L. Zhang, J.-N. Hwang, et al · 2022
Later among the works it cites.
Efficient sampling-based planning for subterranean exploration
S. Ahmad and J. S. Humbert · 2022
Later among the works it cites.
Object scene representation transformer
M. S. Sajjadi, D. Duckworth, A. Mahendran, S. van Steenkiste, F. Pavetic, M. Lucic, L. J. Guibas, K. Greff, and T. Kipf · 2022
Later among the works it cites.
Language models of code are few-shot commonsense learners
A. Madaan, S. Zhou, U. Alon, Y. Yang, and G. Neubig · 2022
Later among the works it cites.
Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models
P. Vaithilingam, T. Zhang, and E. L. Glassman · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C. Zhao, Q. Sun, C. Zhang, Y. Tang, and F. Qian · 2020
Cited alongside, same era.
Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping
T. Shan, B. Englot, D. Meyers, W. Wang, C. Ratti, and D. Rus · 2020
Cited alongside, same era.
A. Agha, K. Otsu, B. Morrell, D. D. Fan, R. Thakker, A. Santamaria-Navarro, S.-K. Kim, A. Bouman, X. Lei, J. Edlund, et al · 2021
Cited alongside, same era.
Multimodal few-shot learning with frozen language models
M. Tsimpoukelli, J. L. Menick, S. Cabi, S. Eslami, O. Vinyals, and F. Hill · 2021
Cited alongside, same era.
Evaluating large language models trained on code
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al · 2021
Cited alongside, same era.
Yolox: Exceeding yolo series in 2021
Z. Ge, S. Liu, F. Wang, Z. Li, and J. Sun · 2021
Cited alongside, same era.
Adabins: Depth estimation using adaptive bins
S. F. Bhat, I. Alhashim, and P. Wonka · 2021
Cited alongside, same era.
E. Nijkamp, B. Pang, H. Hayashi, L. Tu, H. Wang, Y. Zhou, S. Savarese, and C. Xiong · 2022
Later among the works it cites.
Clip on wheels: Zero-shot object navigation as object localization and exploration
S. Y. Gadre, M. Wortsman, G. Ilharco, L. Schmidt, and S. Song · 2022
Later among the works it cites.
Visual language maps for robot navigation
C. Huang, O. Mees, A. Zeng, and W. Burgard · 2022
Later among the works it cites.
Do as i can, not as i say: Grounding language in robotic affordances
M. Ahn, A. Brohan, N. Brown, Y. Chebotar, O. Cortes, B. David, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, et al · 2022
Later among the works it cites.
Palm: Scaling language modeling with pathways
A. Chowdhery, S. Narang, J. Devlin, M. Bosma, G. Mishra, A. Roberts, P. Barham, H. W. Chung, C. Sutton, S. Gehrmann, et al · 2022
Later among the works it cites.
Flexible supervised autonomy for exploration in subterranean environments
H. Biggie, E. R. Rush, D. G. Riley, S. Ahmad, M. T. Ohradzansky, K. Harlow, M. J. Miles, D. Torres, S. McGuire, E. W. Frew, et al · 2023
Closest in time.
A survey of large language models
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, et al · 2023
Closest in time.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
P. Liu, W. Yuan, J. Fu, Z. Jiang, H. Hayashi, and G. Neubig · 2023
Closest in time.
Vipergpt: Visual inference via python execution for reasoning
D. Surís, S. Menon, and C. Vondrick · 2023
Closest in time.
Palm-e: An embodied multimodal language model
D. Driess, F. Xia, M. S. Sajjadi, C. Lynch, A. Chowdhery, B. Ichter, A. Wahid, J. Tompson, Q. Vuong, T. Yu, et al · 2023
Closest in time.
Llama: Open and efficient foundation language models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, et al · 2023
Closest in time.
Do as i can, not as i say: Grounding language in robotic affordances
A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian, et al · 2023
Closest in time.
J. Li, D. Li, S. Savarese, and S. Hoi · 2023
Closest in time.
Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action
D. Shah, B. Osiński, S. Levine, et al · 2023
Closest in time.
Visual programming: Compositional visual reasoning without training
T. Gupta and A. Kembhavi · 2023
Closest in time.