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Modern robots vary significantly in shape, size, and sensor configurations used to perceive and interact with their environments.
A Formal Basis for the Heuristic Determination of Minimum Cost Paths
P. E. Hart, N. J. Nilsson, and B. Raphael · 1968
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A frontier-based approach for autonomous exploration
B. Yamauchi · 1997
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ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
D. Batra, A. Gokaslan, A. Kembhavi, O. Maksymets, R. Mottaghi, M. Savva, A. Toshev, and E. Wijmans · 2006
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Visualizing data using t-SNE
L. Van der Maaten and G. Hinton · 2008
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Exploring Network Structure, Dynamics, and Function using NetworkX
A. A. Hagberg, D. A. Schult, P. Swart, and J. Hagberg · 2008
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AI2-THOR: An Interactive 3D Environment for Visual AI
E. Kolve, R. Mottaghi, W. Han, E. VanderBilt, L. Weihs, A. Herrasti, M. Deitke, K. Ehsani, D. Gordon, Y. Zhu, A. Kembhavi, A. K. Gupta, and A. Farhadi · 2017
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Dronet: Learning to fly by driving
A. Loquercio, A. I. Maqueda, C. R. Del-Blanco, and D. Scaramuzza · 2018
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DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
E. Wijmans, A. Kadian, A. Morcos, S. Lee, I. Essa, D. Parikh, M. Savva, and D. Batra · 2020
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Learning to explore using active neural slam
D. S. Chaplot, D. Gandhi, S. Gupta, A. Gupta, and R. Salakhutdinov · 2020
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MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
S. Wani, S. Patel, U. Jain, A. X. Chang, and M. Savva · 2020
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AllenAct: A Framework for Embodied AI Research
L. Weihs, J. Salvador, K. Kotar, U. Jain, K.-H. Zeng, R. Mottaghi, and A. Kembhavi · 2020
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Auxiliary Tasks and Exploration Enable ObjectNav
J. Ye, D. Batra, A. Das, and E. Wijmans · 2021
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Pushing it out of the way: Interactive visual navigation
K.-H. Zeng, L. Weihs, A. Farhadi, and R. Mottaghi · 2021
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Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021
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ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
M. Deitke, E. VanderBilt, A. Herrasti, L. Weihs, K. Ehsani, J. Salvador, W. Han, E. Kolve, A. Kembhavi, and R. Mottaghi · 2022
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Xirl: Cross-embodiment inverse reinforcement learning
K. Zakka, A. Zeng, P. Florence, J. Tompson, J. Bohg, and D. Dwibedi · 2022
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ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
A. Majumdar, G. Aggarwal, B. Devnani, J. Hoffman, and D. Batra · 2022
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Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
R. Ramrakhya, E. Undersander, D. Batra, and A. Das · 2022
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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, C. Fu, K. Gopalakrishnan, K. Hausman, et al · 2022
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Understanding Domain Randomization for Sim-to-real Transfer
X. Chen, J. Hu, C. Jin, L. Li, and L. Wang · 2022
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Phone2Proc: Bringing Robust Robots Into Our Chaotic World , 2022
M. Deitke, R. Hendrix, L. Weihs, A. Farhadi, K. Ehsani, and A. Kembhavi · 2022
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Open x-embodiment: Robotic learning datasets and rt-x models
A. O’Neill, A. Rehman, A. Gupta, A. Maddukuri, A. Gupta, A. Padalkar, A. Lee, A. Pooley, A. Gupta, A. Mandlekar, et al · 2023
Cited alongside, same era.
Gnm: A general navigation model to drive any robot
D. Shah, A. Sridhar, A. Bhorkar, N. Hirose, and S. Levine · 2023
Cited alongside, same era.
Nomad: Goal masked diffusion policies for navigation and exploration
A. Sridhar, D. Shah, C. Glossop, and S. Levine · 2023
Cited alongside, same era.
Objaverse: A Universe of Annotated 3D Objects
M. Deitke, D. Schwenk, J. Salvador, L. Weihs, O. Michel, E. VanderBilt, L. Schmidt, K. Ehsani, A. Kembhavi, and A. Farhadi · 2023
Cited alongside, same era.
Xskill: Cross embodiment skill discovery
M. Xu, Z. Xu, C. Chi, M. Veloso, and S. Song · 2023
Cited alongside, same era.
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Flow as the cross-domain manipulation interface
M. Xu, Z. Xu, Y. Xu, C. Chi, G. Wetzstein, M. Veloso, and S. Song · 2024
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Umi on legs: Making manipulation policies mobile with manipulation-centric whole-body controllers
H. Ha, Y. Gao, Z. Fu, J. Tan, and S. Song · 2024
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Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning
J. Hejna, C. Bhateja, Y. Jian, K. Pertsch, and D. Sadigh · 2024
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Rovi-aug: Robot and viewpoint augmentation for cross-embodiment robot learning
L. Y. Chen, C. Xu, K. Dharmarajan, Z. Irshad, R. Cheng, K. Keutzer, M. Tomizuka, Q. Vuong, and K. Goldberg · 2024
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MotionGlot: A Multi-Embodied Motion Generation Model
S. Harithas and S. Sridhar · 2024
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A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, X. Chen, K. Choromanski, T. Ding, D. Driess, A. Dubey, C. Finn, P. Florence, C. Fu, M. G. Arenas, K. Gopalakrishnan, K. Han, K. Hausman, A. Herzog, J. Hsu, B. Ichter, A. Irpan, N. J. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, L. Lee, T. E. Lee, S. Levine, Y. Lu, H. Michalewski, I. Mordatch, K. Pertsch, K. Rao, K. Reymann, M. S. Ryoo, G. Salazar, P. Sanketi, P. Sermanet, J. Singh, A. Singh, R. Soricut, H. T. Tran, V. Vanhoucke, Q. Vuong, A. Wahid, S. Welker, P. Wohlhart, J. Wu, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich · 2023
Cited alongside, same era.
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
X. Puig, E. Undersander, A. Szot, M. D. Cote, T. Yang, R. Partsey, R. Desai, A. W. Clegg, M. Hlavac, S. Y. Min, V. Vondrus, T. Gervet, V. Berges, J. M. Turner, O. Maksymets, Z. Kira, M. Kalakrishnan, J. Malik, D. S. Chaplot, U. Jain, D. Batra, A. Rai, and R. Mottaghi · 2023
Cited alongside, same era.
Selective Visual Representations Improve Convergence and Generalization for Embodied AI
A. Eftekhar, K.-H. Zeng, J. Duan, A. Farhadi, A. Kembhavi, and R. Krishna · 2023
Cited alongside, same era.
DINOv2: Learning Robust Visual Features without Supervision , 2023
M. Oquab, T. Darcet, T. Moutakanni, H. V. Vo, M. Szafraniec, V. Khalidov, P. Fernandez, D. Haziza, F. Massa, A. El-Nouby, R. Howes, P.-Y. Huang, H. Xu, V. Sharma, S.-W. Li, W. Galuba, M. Rabbat, M. Assran, N. Ballas, G. Synnaeve, I. Misra, H. Jegou, J. Mairal, P. Labatut, A. Joulin, and P. Bojanowski · 2023
Cited alongside, same era.
Sigmoid Loss for Language Image Pre-Training
X. Zhai, B. Mustafa, A. Kolesnikov, and L. Beyer · 2023
Cited alongside, same era.
Octo: An open-source generalist robot policy
O. M. Team, D. Ghosh, H. Walke, K. Pertsch, K. Black, O. Mees, S. Dasari, J. Hejna, T. Kreiman, C. Xu, et al · 2024
Cited alongside, same era.
Scaling cross-embodied learning: One policy for manipulation, navigation, locomotion and aviation
R. Doshi, H. Walke, O. Mees, S. Dasari, and S. Levine · 2024
Cited alongside, same era.
H. Bharadhwaj, R. Mottaghi, A. Gupta, and S. Tulsiani · 2024
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One-Shot Imitation under Mismatched Execution
K. Kedia, P. Dan, and S. Choudhury · 2024
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OpenVLA: An Open-Source Vision-Language-Action Model
M. J. Kim, K. Pertsch, S. Karamcheti, T. Xiao, A. Balakrishna, S. Nair, R. Rafailov, E. Foster, G. Lam, P. Sanketi, et al · 2024
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DROID: A large-scale in-the-wild robot manipulation dataset
A. Khazatsky, K. Pertsch, S. Nair, A. Balakrishna, S. Dasari, S. Karamcheti, S. Nasiriany, M. K. Srirama, L. Y. Chen, K. Ellis, et al · 2024
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GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization
A. Patel and S. Song · 2024
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Real-world humanoid locomotion with reinforcement learning
I. Radosavovic, T. Xiao, B. Zhang, T. Darrell, J. Malik, and K. Sreenath · 2024
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One Policy to Run Them All: Towards an End-to-end Learning Approach to Multi-Embodiment Locomotion
N. Bohlinger, G. Czechmanowski, M. P. Krupka, P. Kicki, K. Walas, J. Peters, and D. Tateo · 2024
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Manyquadrupeds: Learning a single locomotion policy for diverse quadruped robots
M. Shafiee, G. Bellegarda, and A. Ijspeert · 2024
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PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
C. Ying, Z. Hao, X. Zhou, X. Xu, H. Su, X. Zhang, and J. Zhu · 2024
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AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility
W. Xiao, H. Xue, T. Tao, D. Kalaria, J. M. Dolan, and G. Shi · 2024
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HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation
N. Yokoyama, R. Ramrakhya, A. Das, D. Batra, and S. Ha · 2024
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Goat-bench: A benchmark for multi-modal lifelong navigation
M. Khanna, R. Ramrakhya, G. Chhablani, S. Yenamandra, T. Gervet, M. Chang, Z. Kira, D. S. Chaplot, D. Batra, and R. Mottaghi · 2024
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Pivot: Iterative visual prompting elicits actionable knowledge for vlms
S. Nasiriany, F. Xia, W. Yu, T. Xiao, J. Liang, I. Dasgupta, A. Xie, D. Driess, A. Wahid, Z. Xu, et al · 2024
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RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
W. Yuan, J. Duan, V. Blukis, W. Pumacay, R. Krishna, A. Murali, A. Mousavian, and D. Fox · 2024
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ObjaTHOR: Python package for importing and loading external assets into ai2thor
A. I. for AI · 2024
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Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
K. Ehsani, T. Gupta, R. Hendrix, J. Salvador, L. Weihs, K.-H. Zeng, K. P. Singh, Y. Kim, W. Han, A. Herrasti, et al · 2024
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