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Legged robots are well-suited for navigating terrains inaccessible to wheeled robots, making them ideal for applications in search and rescue or space exploration.
Neural Computation 9(8): 1735–1780
Hochreiter S and Schmidhuber J (1997) Long Short-Term Memory · 1997
Earlier work this paper cites.
In: Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques , SIGGRAPH ’02. New York, NY, USA: Association for Computing Machinery
Perlin K (2002) Improving noise · 2002
Earlier work this paper cites.
URL https://arxiv.org/abs/2005.14165
Brown TB, Mann B, Ryder N, Subbiah M, Kaplan J, Dhariwal P, Neelakantan A, Shyam P, Sastry G, Askell A, Agarwal S, Herbert-Voss A, Krueger G, Henighan T, Child R, Ramesh A, Ziegler DM, Wu J, Winter C, Hesse C, Chen M, Sigler E, Litwin M, Gray S, Chess B, Clark J, Berner C, McCandlish S, Radford A, Sutskever I and Amodei D (2020) Language models are few-shot learners · 2005
Earlier work this paper cites.
Ross S, Gordon GJ and Bagnell JA (2011) A reduction of imitation learning and structured prediction to no-regret online learning
2011
Earlier work this paper cites.
In: Mobile Service Robotics . pp. 433–440
Fankhauser P, Bloesch M, Gehring C, Hutter M and Siegwart R (2014) Robot-centric elevation mapping with uncertainty estimates · 2014
Earlier work this paper cites.
In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S and Garnett R (eds.) Advances in Neural Information Processing Systems , volume 30. Curran Associates, Inc
Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser L and Polosukhin I (2017) Attention is all you need · 2017
Earlier work this paper cites.
In: 2020 IEEE International Conference on Robotics and Automation (ICRA) . pp. 2464–2470
Kim D, Carballo D, Di Carlo J, Katz B, Bledt G, Lim B and Kim S (2020) Vision aided dynamic exploration of unstructured terrain with a small-scale quadruped robot · 2020
Earlier work this paper cites.
Science Robotics 5(47)
Lee J, Hwangbo J, Wellhausen L, Koltun V and Hutter M (2020) Learning quadrupedal locomotion over challenging terrain · 2020
Earlier work this paper cites.
In: 6th Annual Conference on Robot Learning
Agarwal A, Kumar A, Malik J and Pathak D (2022) Legged locomotion in challenging terrains using egocentric vision · 2022
Earlier work this paper cites.
URL https://arxiv.org/abs/2204.14198
Alayrac JB, Donahue J, Luc P, Miech A, Barr I, Hasson Y, Lenc K, Mensch A, Millican K, Reynolds M, Ring R, Rutherford E, Cabi S, Han T, Gong Z, Samangooei S, Monteiro M, Menick J, Borgeaud S, Brock A, Nematzadeh A, Sharifzadeh S, Binkowski M, Barreira R, Vinyals O, Zisserman A and Simonyan K (2022) Flamingo: a visual language model for few-shot learning · 2022
Earlier work this paper cites.
URL https://arxiv.org/abs/2203.17138
Bohez S, Tunyasuvunakool S, Brakel P, Sadeghi F, Hasenclever L, Tassa Y, Parisotto E, Humplik J, Haarnoja T, Hafner R, Wulfmeier M, Neunert M, Moran B, Siegel N, Huber A, Romano F, Batchelor N, Casarini F, Merel J, Hadsell R and Heess N (2022) Imitate and repurpose: Learning reusable robot movement skills from human and animal behaviors · 2022
Earlier work this paper cites.
IEEE Transactions on Robotics 38(5): 2908–2927
Gangapurwala S, Geisert M, Orsolino R, Fallon M and Havoutis I (2022) Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control · 2022
Earlier work this paper cites.
URL https://arxiv.org/abs/2208.08373
Grandia R, Jenelten F, Yang S, Farshidian F and Hutter M (2022) Perceptive locomotion through nonlinear model predictive control · 2022
Cited alongside, same era.
Gupta A, Fan L, Ganguli S and Fei-Fei L (2022) Metamorph: Learning universal controllers with transformers
2022
Cited alongside, same era.
IEEE Transactions on Robotics 38(6): 3395–3413
Jenelten F, Grandia R, Farshidian F and Hutter M (2022) Tamols: Terrain-aware motion optimization for legged systems · 2022
Cited alongside, same era.
Yang R, Zhang M, Hansen N, Xu H and Wang X (2022) Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers
2022
Cited alongside, same era.
In: Faust A, Hsu D and Neumann G (eds.) Proceedings of the 5th Conference on Robot Learning , Proceedings of Machine Learning Research , volume 164. PMLR, pp. 1291–1302
Yu W, Jain D, Escontrela A, Iscen A, Xu P, Coumans E, Ha S, Tan J and Zhang T (2022) Visual-locomotion: Learning to walk on complex terrains with vision · 2022
IEEE Robotics and Automation Letters 8(10): 6619–6626
Kang D, Cheng J, Zamora M, Zargarbashi F and Coros S (2023) Rl + model-based control: Using on-demand optimal control to learn versatile legged locomotion · 2023
Later among the works it cites.
In: LaValle SM, O’Kane JM, Otte M, Sadigh D and Tokekar P (eds.) Algorithmic Foundations of Robotics XV . Cham: Springer International Publishing
Xie Z, Da X, Babich B, Garg A and de Panne Mv (2023) Glide: Generalizable quadrupedal locomotion in diverse environments with a centroidal model · 2023
Later among the works it cites.
URL https://arxiv.org/abs/2309.05665
Zhuang Z, Fu Z, Wang J, Atkeson C, Schwertfeger S, Finn C and Zhao H (2023) Robot parkour learning · 2023
Later among the works it cites.
In: 7th Annual Conference on Robot Learning
Zitkovich B, Yu T, Xu S, Xu P, Xiao T, Xia F, Wu J, Wohlhart P, Welker S, Wahid A, Vuong Q, Vanhoucke V, Tran H, Soricut R, Singh A, Singh J, Sermanet P, Sanketi PR, Salazar G, Ryoo MS, Reymann K, Rao K, Pertsch K, Mordatch I, Michalewski H, Lu Y, Levine S, Lee L, Lee TWE, Leal I, Kuang Y, Kalashnikov D, Julian R, Joshi NJ, Irpan A, brian ichter, Hsu J, Herzog A, Hausman K, Gopalakrishnan K, Fu C, Florence P, Finn C, Dubey KA, Driess D, Ding T, Choromanski KM, Chen X, Chebotar Y, Carbajal J, Brown N, Brohan A, Arenas MG and Han K (2023) RT-2: Vision-language-action models transfer web knowledge to robotic control · 2023
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Cited alongside, same era.
10.15607/RSS.2023.XIX.025
Brohan A, Brown N, Carbajal J, Chebotar Y, Dabis J, Finn C, Gopalakrishnan K, Hausman K, Herzog A, Hsu J, Ibarz J, Ichter B, Irpan A, Jackson T, Jesmonth S, Joshi N, Julian R, Kalashnikov D, Kuang Y and Zitkovich B (2023) Rt-1: Robotics transformer for real-world control at scale · 2023
Cited alongside, same era.
Caluwaerts K, Iscen A, Kew JC, Yu W, Zhang T, Freeman D, Lee KH, Lee L, Saliceti S, Zhuang V, Batchelor N, Bohez S, Casarini F, Chen JE, Cortes O, Coumans E, Dostmohamed A, Dulac-Arnold G, Escontrela A, Frey E, Hafner R, Jain D, Jyenis B, Kuang Y, Lee E, Luu L, Nachum O, Oslund K, Powell J, Reyes D, Romano F, Sadeghi F, Sloat R, Tabanpour B, Zheng D, Neunert M, Hadsell R, Heess N, Nori F, Seto J, Parada C, Sindhwani V, Vanhoucke V and Tan J (2023) Barkour: Benchmarking animal-level agility with quadruped robots
2023
Cited alongside, same era.
Science Robotics 8(74): eade2256
Choi S, Ji G, Park J, Kim H, Mun J, Lee JH and Hwangbo J (2023) Learning quadrupedal locomotion on deformable terrain · 2023
Cited alongside, same era.
In: arXiv preprint arXiv:2303.03378
Driess D, Xia F, Sajjadi MSM, Lynch C, Chowdhery A, Ichter B, Wahid A, Tompson J, Vuong Q, Yu T, Huang W, Chebotar Y, Sermanet P, Duckworth D, Levine S, Vanhoucke V, Hausman K, Toussaint M, Greff K, Zeng A, Mordatch I and Florence P (2023) Palm-e: An embodied multimodal language model · 2023
Cited alongside, same era.
pp. 19059–19069
Ge Y, Macaluso A, Li L, Luo P and Wang X (2023) Policy adaptation from foundation model feedback · 2023
Cited alongside, same era.
Hoeller D, Rudin N, Sako D and Hutter M (2023) Anymal parkour: Learning agile navigation for quadrupedal robots
2023
Cited alongside, same era.
Science Robotics 7(62)
Miki T, Lee J, Hwangbo J, Wellhausen L, Koltun V and Hutter M (2022a) Learning robust perceptive locomotion for quadrupedal robots in the wild
Cited in the paper.
Later among the works it cites.
In: 2024 IEEE International Conference on Robotics and Automation (ICRA) . pp. 11443–11450
Cheng X, Shi K, Agarwal A and Pathak D (2024) Extreme parkour with legged robots · 2024
Later among the works it cites.
URL https://arxiv.org/abs/2310.08864
Collaboration E, O’Neill A, Rehman A, Gupta A, Maddukuri A, Gupta A, Padalkar A, Lee A, Pooley A, Gupta A, Mandlekar A, Jain A, Tung A, Bewley A, Herzog A, Irpan A, Khazatsky A, Rai A, Gupta A, Wang A, Kolobov A, Singh A, Garg A, Kembhavi A, Xie A, Brohan A, Raffin A, Sharma A, Yavary A, Jain A, Balakrishna A, Wahid A, Burgess-Limerick B, Kim B, Schölkopf B, Wulfe B, Ichter B, Lu C, Xu C, Le C, Finn C, Wang C, Xu C, Chi C, Huang C, Chan C, Agia C, Pan C, Fu C, Devin C, Xu D, Morton D, Driess D, Chen D, Pathak D, Shah D, Büchler D, Jayaraman D, Kalashnikov D, Sadigh D, Johns E, Foster E, Liu F, Ceola F, Xia F, Zhao F, Frujeri FV, Stulp F, Zhou G, Sukhatme GS, Salhotra G, Yan G, Feng G, Schiavi G, Berseth G, Kahn G, Yang G, Wang G, Su H, Fang HS, Shi H, Bao H, Amor HB, Christensen HI, Furuta H, Bharadhwaj H, Walke H, Fang H, Ha H, Mordatch I, Radosavovic I, Leal I, Liang J, Abou-Chakra J, Kim J, Drake J, Peters J, Schneider J, Hsu J, Vakil J, Bohg J, Bingham J, Wu J, Gao J, Hu J, Wu J, Wu J, Sun J, Luo J, Gu J, Tan J, Oh J, Wu J, Lu J, Yang J, Malik J, Silvério J, Hejna J, Booher J, Tompson J, Yang J, Salvador J, Lim JJ, Han J, Wang K, Rao K, Pertsch K, Hausman K, Go K, Gopalakrishnan K, Goldberg K, Byrne K, Oslund K, Kawaharazuka K, Black K, Lin K, Zhang K, Ehsani K, Lekkala K, Ellis K, Rana K, Srinivasan K, Fang K, Singh KP, Zeng KH, Hatch K, Hsu K, Itti L, Chen LY, Pinto L, Fei-Fei L, Tan L, Fan LJ, Ott L, Lee L, Weihs L, Chen M, Lepert M, Memmel M, Tomizuka M, Itkina M, Castro MG, Spero M, Du M, Ahn M, Yip MC, Zhang M, Ding M, Heo M, Srirama MK, Sharma M, Kim MJ, Kanazawa N, Hansen N, Heess N, Joshi NJ, Suenderhauf N, Liu N, Palo ND, Shafiullah NMM, Mees O, Kroemer O, Bastani O, Sanketi PR, Miller PT, Yin P, Wohlhart P, Xu P, Fagan PD, Mitrano P, Sermanet P, Abbeel P, Sundaresan P, Chen Q, Vuong Q, Rafailov R, Tian R, Doshi R, Mart’in-Mart’in R, Baijal R, Scalise R, Hendrix R, Lin R, Qian R, Zhang R, Mendonca R, Shah R, Hoque R, Julian R, Bustamante S, Kirmani S, Levine S, Lin S, Moore S, Bahl S, Dass S, Sonawani S, Tulsiani S, Song S, Xu S, Haldar S, Karamcheti S, Adebola S, Guist S, Nasiriany S, Schaal S, Welker S, Tian S, Ramamoorthy S, Dasari S, Belkhale S, Park S, Nair S, Mirchandani S, Osa T, Gupta T, Harada T, Matsushima T, Xiao T, Kollar T, Yu T, Ding T, Davchev T, Zhao TZ, Armstrong T, Darrell T, Chung T, Jain V, Kumar V, Vanhoucke V, Zhan W, Zhou W, Burgard W, Chen X, Chen X, Wang X, Zhu X, Geng X, Liu X, Liangwei X, Li X, Pang Y, Lu Y, Ma YJ, Kim Y, Chebotar Y, Zhou Y, Zhu Y, Wu Y, Xu Y, Wang Y, Bisk Y, Dou Y, Cho Y, Lee Y, Cui Y, Cao Y, Wu YH, Tang Y, Zhu Y, Zhang Y, Jiang Y, Li Y, Li Y, Iwasawa Y, Matsuo Y, Ma Z, Xu Z, Cui ZJ, Zhang Z, Fu Z and Lin Z (2024) Open x-embodiment: Robotic learning datasets and rt-x models · 2024
Later among the works it cites.
Nature Machine Intelligence 6(787–798)
Han L, Zhu Q, Sheng J, Zhang C, Li T, Zhang Y, Zhang H, Liu Y, Zhou C, Zhao R, Li J, Zhang Y, Wang R, Chi W, Li X, Zhu Y, Xiang L, Teng X and Zhang Z (2024) Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models · 2024
Later among the works it cites.
Science Robotics 9(86)
Jenelten F, He J, Farshidian F and Hutter M (2024) Dtc: Deep tracking control · 2024
Later among the works it cites.
In: The Twelfth International Conference on Learning Representations
Luo Z, Cao J, Merel J, Winkler A, Huang J, Kitani KM and Xu W (2024) Universal humanoid motion representations for physics-based control · 2024
Later among the works it cites.
URL https://arxiv.org/abs/2403.04359
Mittal M, Rudin N, Klemm V, Allshire A and Hutter M (2024) Symmetry considerations for learning task symmetric robot policies · 2024
Later among the works it cites.
URL https://arxiv.org/abs/2311.10484
Zhang C, Rudin N, Hoeller D and Hutter M (2024) Learning agile locomotion on risky terrains · 2024
Later among the works it cites.