%0 Journal Article %1 noauthororeditor %A Soni, Vishal Dineshkumar %D 2018 %J International Journal on Integrated Education %K Artificialintelligence DeliberativeLayer decisionmaking internetofthings %N 1 %P 49-53 %T Artificial Cognition for Human-robot Interaction %U https://journals.researchparks.org/index.php/IJIE/article/view/482 %V 1 %X Human-robot interaction can increase the challenges of artificial intelligence. Many domains of AI and its effect is laid down, which is mainly called for their integration, modelling of human cognition and human, collecting and representing knowledge, use of this knowledge in human level, maintaining decision making processes and providing these decisions towards physical action eligible to and in coordination with humans. A huge number of AI technologies are abstracted from task planning to theory of mind building, from visual processing to symbolic reasoning and from reactive control to action recognition and learning. Specific human-robot interaction is focused on this case. Multi-model and situated communication can support human-robot collaborative task achievement. Present study deals with the process of using artificial intelligence (AI) for human-robot interaction. Vishal Dineshkumar Soni 2018. Artificial Cognition for Human-robot Interaction. International Journal on Integrated Education. 1, 1 (Dec. 2018), 49-53. DOI:https://doi.org/10.31149/ijie.v1i1.482. Pdf Url : https://journals.researchparks.org/index.php/IJIE/article/view/482/459 Paper Url : https://journals.researchparks.org/index.php/IJIE/article/view/482

@article{noauthororeditor, abstract = {Human-robot interaction can increase the challenges of artificial intelligence. Many domains of AI and its effect is laid down, which is mainly called for their integration, modelling of human cognition and human, collecting and representing knowledge, use of this knowledge in human level, maintaining decision making processes and providing these decisions towards physical action eligible to and in coordination with humans. A huge number of AI technologies are abstracted from task planning to theory of mind building, from visual processing to symbolic reasoning and from reactive control to action recognition and learning. Specific human-robot interaction is focused on this case. Multi-model and situated communication can support human-robot collaborative task achievement. Present study deals with the process of using artificial intelligence (AI) for human-robot interaction. Vishal Dineshkumar Soni 2018. Artificial Cognition for Human-robot Interaction. International Journal on Integrated Education. 1, 1 (Dec. 2018), 49-53. DOI:https://doi.org/10.31149/ijie.v1i1.482. Pdf Url : https://journals.researchparks.org/index.php/IJIE/article/view/482/459 Paper Url : https://journals.researchparks.org/index.php/IJIE/article/view/482 }, added-at = {2021-02-26T11:42:11.000+0100}, author = {Soni, Vishal Dineshkumar}, biburl = {https://www.bibsonomy.org/bibtex/20e7724c87540d67bb8a6c0bd9a54620e/researchparks}, interhash = {16fa18e6d765840d70fb9852763de470}, intrahash = {0e7724c87540d67bb8a6c0bd9a54620e}, issn = {2620-3502}, journal = {International Journal on Integrated Education}, keywords = {Artificialintelligence DeliberativeLayer decisionmaking internetofthings}, language = {English}, number = 1, pages = {49-53}, timestamp = {2021-02-26T11:42:11.000+0100}, title = {Artificial Cognition for Human-robot Interaction }, url = {https://journals.researchparks.org/index.php/IJIE/article/view/482}, volume = 1, year = 2018 }