{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:04:16Z","timestamp":1750309456424,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"The International Science and Technology Cooperation Project of Guangzhou Economic and Technological Development District.","award":["2023GH16"],"award-info":[{"award-number":["2023GH16"]}]},{"name":"The Fundamental Research Funds for the Central Universities.","award":["2024ZYGXZR104"],"award-info":[{"award-number":["2024ZYGXZR104"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,3]]},"DOI":"10.1145\/3696409.3700230","type":"proceedings-article","created":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T09:55:23Z","timestamp":1735379723000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["T2QRM: Text-Driven Quadruped Robot Motion Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2058-0076","authenticated-orcid":false,"given":"Minghui","family":"Wang","sequence":"first","affiliation":[{"name":"South China University of Technology, Guangzhou, Guangdong Province, China, CN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8100-2314","authenticated-orcid":false,"given":"Zixu","family":"Wang","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, Guangdong Province, China, CN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3455-1527","authenticated-orcid":false,"given":"Hongbin","family":"Xu","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, Guangdong Province, China, CN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6891-8059","authenticated-orcid":false,"given":"Kun","family":"Hu","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, NSW 2000, Australia, AU"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8043-0312","authenticated-orcid":false,"given":"Zhiyong","family":"Wang","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, NSW 2000, Australia, AU"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9023-7252","authenticated-orcid":false,"given":"Wenxiong","family":"Kang","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, Guangdong Province, China, CN"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,12,28]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Tal Avgar Anna Mosser Glen\u00a0S Brown and John\u00a0M Fryxell. 2013. Environmental and individual drivers of animal movement patterns across a wide geographical gradient. Journal of Animal Ecology 82 1 (2013) 96\u2013106.","DOI":"10.1111\/j.1365-2656.2012.02035.x"},{"key":"e_1_3_3_2_3_2","unstructured":"Steven Bohez Saran Tunyasuvunakool Philemon Brakel Fereshteh Sadeghi Leonard Hasenclever Yuval Tassa Emilio Parisotto Jan Humplik Tuomas Haarnoja Roland Hafner et\u00a0al. 2022. Imitate and repurpose: Learning reusable robot movement skills from human and animal behaviors. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2203.17138 (2022)."},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/1"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01726"},{"key":"e_1_3_3_2_6_2","series-title":"(MMAsia \u201923)","volume-title":"Proceedings of the 5th ACM International Conference on Multimedia in Asia","author":"Chen Zhe","year":"2024","unstructured":"Zhe Chen, Jiyi Li, Fumiyo Fukumoto, Peng Liu, and Yoshimi Suzuki. 2024. Vision-Language Navigation for Quadcopters with Conditional Transformer and Prompt-based Text Rephraser. In Proceedings of the 5th ACM International Conference on Multimedia in Asia (Tainan, Taiwan) (MMAsia \u201923). Association for Computing Machinery, New York, NY, USA, Article 76, 7\u00a0pages."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Xuxin Cheng Yandong Ji Junming Chen Ruihan Yang Ge Yang and Xiaolong Wang. 2024. Expressive Whole-Body Control for Humanoid Robots. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.16796 (2024).","DOI":"10.15607\/RSS.2024.XX.107"},{"key":"e_1_3_3_2_8_2","unstructured":"Erwin Coumans and Yunfei Bai. 2016\u20132021. PyBullet a Python module for physics simulation for games robotics and machine learning. http:\/\/pybullet.org."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Adrian\u00a0C Gleiss Salvador\u00a0J Jorgensen Nikolai Liebsch Juan\u00a0E Sala Brad Norman Graeme\u00a0C Hays Flavio Quintana Edward Grundy Claudio Campagna Andrew\u00a0W Trites et\u00a0al. 2011. Convergent evolution in locomotory patterns of flying and swimming animals. Nature communications 2 1 (2011) 352.","DOI":"10.1038\/ncomms1350"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00509"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413635"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Lei Han Qingxu Zhu Jiapeng Sheng Chong Zhang Tingguang Li Yizheng Zhang He Zhang Yuzhen Liu Cheng Zhou Rui Zhao et\u00a0al. 2023. Lifelike agility and play on quadrupedal robots using reinforcement learning and generative pre-trained models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2308.15143 (2023).","DOI":"10.21203\/rs.3.rs-3309878\/v1"},{"key":"e_1_3_3_2_13_2","unstructured":"Jonathan Ho Ajay Jain and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in neural information processing systems 33 (2020) 6840\u20136851."},{"key":"e_1_3_3_2_14_2","unstructured":"Jonathan Ho and Tim Salimans. 2022. Classifier-free diffusion guidance. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2207.12598 (2022)."},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Ahmed Hussein Mohamed\u00a0Medhat Gaber Eyad Elyan and Chrisina Jayne. 2017. Imitation learning: A survey of learning methods. ACM Computing Surveys (CSUR) 50 2 (2017) 1\u201335.","DOI":"10.1145\/3054912"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Hadas Kress-Gazit Georgios\u00a0E Fainekos and George\u00a0J Pappas. 2008. Translating structured english to robot controllers. Advanced Robotics 22 12 (2008) 1343\u20131359.","DOI":"10.1163\/156855308X344864"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350986"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Gabriel\u00a0B Margolis Ge Yang Kartik Paigwar Tao Chen and Pulkit Agrawal. 2022. Rapid Locomotion via Reinforcement Learning. arxiv:https:\/\/arXiv.org\/abs\/2205.02824\u00a0[cs.RO]","DOI":"10.15607\/RSS.2022.XVIII.022"},{"key":"e_1_3_3_2_19_2","unstructured":"Mehdi Mirza and Simon Osindero. 2014. Conditional generative adversarial nets. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1411.1784 (2014)."},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Xue\u00a0Bin Peng Pieter Abbeel Sergey Levine and Michiel van\u00a0de Panne. 2018. DeepMimic: example-guided deep reinforcement learning of physics-based character skills. ACM Transactions on Graphics 37 4 (July 2018) 1\u201314. 10.1145\/3197517.3201311https:\/\/dl.acm.org\/doi\/10.1145\/3197517.3201311","DOI":"10.1145\/3197517.3201311"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"Xue\u00a0Bin Peng Erwin Coumans Tingnan Zhang Tsang-Wei Lee Jie Tan and Sergey Levine. 2020. Learning agile robotic locomotion skills by imitating animals. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2004.00784 (2020).","DOI":"10.15607\/RSS.2020.XVI.064"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612307"},{"key":"e_1_3_3_2_23_2","first-page":"8748","volume-title":"International Conference on Machine Learning","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et\u00a0al. 2021. Learning transferable visual models from natural language supervision. In International Conference on Machine Learning. PMLR, 8748\u20138763."},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Yecheng Shao Yongbin Jin Xianwei Liu Weiyan He Hongtao Wang and Wei Yang. 2022. Learning Free Gait Transition for Quadruped Robots Via Phase-Guided Controller. IEEE Robotics and Automation Letters 7 2 (April 2022) 1230\u20131237. 10.1109\/lra.2021.3136645","DOI":"10.1109\/lra.2021.3136645"},{"key":"e_1_3_3_2_25_2","unstructured":"Yujin Tang Wenhao Yu Jie Tan Heiga Zen Aleksandra Faust and Tatsuya Harada. 2023. SayTap: Language to Quadrupedal ocomotion. (2023). arXiv:arXiv:2306.07580"},{"key":"e_1_3_3_2_26_2","unstructured":"Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or and Amit\u00a0H Bermano. 2022. Human motion diffusion model. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2209.14916 (2022)."},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00051"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i5.25752"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","unstructured":"Hongzhao Xie Guanglu Jia Mohamed Al-Khulaqui Zihang Gao Xiaowen Guo Toshio Fukuda and Qing Shi. 2022. A Motion Generation Strategy of Robotic Rat Using Imitation Learning for Behavioral Interaction. IEEE Robotics and Automation Letters 7 3 (2022) 7351\u20137358. 10.1109\/LRA.2022.3182472","DOI":"10.1109\/LRA.2022.3182472"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Chuanyu Yang Kai Yuan Shuai Heng Taku Komura and Zhibin Li. 2020. Learning natural locomotion behaviors for humanoid robots using human bias. IEEE Robotics and Automation Letters 5 2 (2020) 2610\u20132617.","DOI":"10.1109\/LRA.2020.2972879"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636805"},{"key":"e_1_3_3_2_32_2","unstructured":"Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee Montse\u00a0Gonzalez Arenas Hao-Tien\u00a0Lewis Chiang Tom Erez Leonard Hasenclever Jan Humplik et\u00a0al. 2023. Language to rewards for robotic skill synthesis. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2306.08647 (2023)."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"He Zhang Sebastian Starke Taku Komura and Jun Saito. 2018. Mode-adaptive neural networks for quadruped motion control. ACM Transactions on Graphics (TOG) 37 4 (2018) 1\u201311.","DOI":"10.1145\/3197517.3201366"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"crossref","unstructured":"Jianrong Zhang Yangsong Zhang Xiaodong Cun Shaoli Huang Yong Zhang Hongwei Zhao Hongtao Lu and Xi Shen. 2023. T2m-gpt: Generating human motion from textual descriptions with discrete representations. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2301.06052 (2023).","DOI":"10.1109\/CVPR52729.2023.01415"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Mingyuan Zhang Zhongang Cai Liang Pan Fangzhou Hong Xinying Guo Lei Yang and Ziwei Liu. 2024. MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model. IEEE Transactions on Pattern Analysis and Machine Intelligence 46 6 (2024) 4115\u20134128.","DOI":"10.1109\/TPAMI.2024.3355414"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00589"}],"event":{"name":"MMAsia '24: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Auckland New Zealand","acronym":"MMAsia '24"},"container-title":["Proceedings of the 6th ACM International Conference on Multimedia in Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696409.3700230","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696409.3700230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:16Z","timestamp":1750295416000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696409.3700230"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":36,"alternative-id":["10.1145\/3696409.3700230","10.1145\/3696409"],"URL":"https:\/\/doi.org\/10.1145\/3696409.3700230","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"2024-12-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}