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pro vyhledávání: '"Blocks world"'
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Autor:
D. V. Aladin, O. O. Varlamov
Publikováno v:
Радиопромышленность, Vol 29, Iss 3, Pp 15-25 (2019)
For the first time in the world, mivar expert systems were used for solving action planning problems for robotic systems. The KESMI (Wi!Mi) Razumator solution was used to create a mivar-based system called MIPRA (mivar-based intelligent planner of ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3d009cb2dcf97f6d4f3097560d30c2
https://www.radioprom.org/jour/article/view/648
https://www.radioprom.org/jour/article/view/648
Autor:
Yongmei Liu, Jian Li
Publikováno v:
AAAI
In dynamic systems, liveness properties concern whether something good will eventually happen. Examples of liveness properties are termination of programs and goal achievability. In this paper, we consider the following theorem-proving problem: given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1190079596dbbef27570a8cb498cc67
https://doi.org/10.1609/aaai.v34i03.5679
https://doi.org/10.1609/aaai.v34i03.5679
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320709dbf9ba76944e77a3d991338af1
https://doi.org/10.1002/cpe.6472
https://doi.org/10.1002/cpe.6472
Autor:
Mohit Gupta, Jong-Ho Lee
Publikováno v:
CVPR
For several vision and robotics applications, 3D geometry of man-made environments such as indoor scenes can be represented with a small number of dominant planes. However, conventional 3D vision techniques typically first acquire dense 3D point clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cfb3b1fb4dabc34df6015c7f78f80f7
https://doi.org/10.1109/cvpr46437.2021.01125
https://doi.org/10.1109/cvpr46437.2021.01125
Autor:
John K. Tsotsos, Markus D. Solbach
Despite the recent successes in computer vision, there remain new avenues to explore. In this work, we propose a new dataset to investigate the effect of self-occlusion on deep neural networks. With TEOS (The Effect of Self-Occlusion), we propose a 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35c71f1c225a1401e9606a8a3da87cc7
http://arxiv.org/abs/2102.12911
http://arxiv.org/abs/2102.12911
Autor:
Amir Tamrakar, Sujeong Kim
Publikováno v:
HAI
We propose a method to generate optimal natural language for block placement directives generated by a machine’s planner during human-agent interactions in the blocks world. A non user-friendly machine directive, e.g., move(ObjId, toPos), is transf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e14d362473b01bdf1b6357dbdb6a7a
Publikováno v:
NAACL-HLT
Understanding and executing natural language instructions in a grounded domain is one of the hallmarks of artificial intelligence. In this paper, we focus on instruction understanding in the blocks world domain and investigate the language understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87cf3d91efd60dc367ca344a26142c22
https://doi.org/10.18653/v1/2021.naacl-main.76
https://doi.org/10.18653/v1/2021.naacl-main.76
Autor:
Alexander Birch Jensen
Publikováno v:
ICAART (1)
Technical University of Denmark Orbit
Technical University of Denmark Orbit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15eb87aec6f334d5fe2e25a85309ddea
https://doi.org/10.5220/0010268303370344
https://doi.org/10.5220/0010268303370344
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783030631925
In the field of industry 4.0 and smart factories of the future, dynamic teams of robots will play an important role in the manufacturing of custom-tailored products with small lot sizes. Especially the planning for such multi-functional robot cells f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01117d771710f4b0e538cfc42ed4f1a5
https://doi.org/10.1007/978-3-030-63193-2_10
https://doi.org/10.1007/978-3-030-63193-2_10