{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:51:56Z","timestamp":1780635116732,"version":"3.54.1"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10651162","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling"],"prefix":"10.1109","author":[{"given":"YiFan","family":"Hao","sequence":"first","affiliation":[{"name":"Chinese Academy of Millitary Science,Defense Innovation Institute,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Millitary Science,Defense Innovation Institute,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junru","family":"Song","sequence":"additional","affiliation":[{"name":"Renmin University of China,Institute of Statistics and Big Data,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Peng","sequence":"additional","affiliation":[{"name":"Chinese Academy of Millitary Science,Defense Innovation Institute,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weien","family":"Zhou","sequence":"additional","affiliation":[{"name":"Chinese Academy of Millitary Science,Defense Innovation Institute,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingsong","family":"Jiang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Millitary Science,Defense Innovation Institute,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Yao","sequence":"additional","affiliation":[{"name":"Chinese Academy of Millitary Science,Defense Innovation Institute,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09997-9"},{"issue":"4","key":"ref2","first-page":"637","article-title":"The research of optimal motion planning for robot in complex environment","volume":"20","author":"Songhao","year":"2011","journal-title":"Chinese Journal of Electronics"},{"key":"ref3","article-title":"Nervenet: Learning structured policy with graph neural networks","author":"Wang","year":"2018","journal-title":"International conference on learning representations"},{"key":"ref4","first-page":"4455","article-title":"One policy to control them all: Shared modular policies for agent-agnostic control","volume-title":"International Conference on Machine Learning","author":"Huang"},{"key":"ref5","article-title":"My body is a cage: the role of morphology in graph-based incompatible control","author":"Kurin","year":"2020"},{"key":"ref6","author":"Hong","year":"2022","journal-title":"Structure-aware transformer policy for inhomogeneous multi-task reinforcement learning"},{"key":"ref7","article-title":"Metamorph: Learning universal controllers with transformers","author":"Gupta","year":"2022"},{"key":"ref8","first-page":"21677","article-title":"Anymorph: Learning transferable polices by inferring agent morphology","volume-title":"International Conference on Machine Learning","author":"Trabucco"},{"key":"ref9","first-page":"19861","article-title":"Low-rank modular reinforcement learning via muscle synergy","volume":"35","author":"Dong","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref11","first-page":"2201","article-title":"Evolution gym: A large-scale benchmark for evolving soft robots","volume":"34","author":"Bhatia","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref13","article-title":"Universal morphology control via contextual modulation","author":"Xiong","year":"2023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1142\/9781860949739_0006"},{"key":"ref15","article-title":"Alec Radford, and Oleg Klimov. Proximal policy optimization algorithms","author":"Schulman","year":"2017"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10651162.pdf?arnumber=10651162","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:56:25Z","timestamp":1725951385000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10651162\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10651162","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}