{"id":6552,"date":"2011-12-11T19:19:28","date_gmt":"2011-12-11T17:19:28","guid":{"rendered":"http:\/\/hgpu.org\/?p=6552"},"modified":"2011-12-11T19:19:28","modified_gmt":"2011-12-11T17:19:28","slug":"aquila-an-open-source-gpu-accelerated-toolkit-for-cognitive-robotics-research","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6552","title":{"rendered":"Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive Robotics Research"},"content":{"rendered":"<p>This paper presents a novel open-source software Aquila developed as a part of the iTalk and RobotDoC projects. This software provides many different tools and biologically inspired systems that are useful for cognitive robotics research. Aquila addresses the need for high-performance robot control by adopting the latest parallel processing paradigm based on the NVidia CUDA technology. The software philosophy, implementation, functionalities and performance are described together with three practical examples of selected modules.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents a novel open-source software Aquila developed as a part of the iTalk and RobotDoC projects. This software provides many different tools and biologically inspired systems that are useful for cognitive robotics research. Aquila addresses the need for high-performance robot control by adopting the latest parallel processing paradigm based on the NVidia CUDA [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,73,89,3],"tags":[1782,1791,14,20,953,176,199],"class_list":["post-6552","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-computer-vision","category-nvidia-cuda","category-paper","tag-computer-science","tag-computer-vision","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-470","tag-package","tag-tesla-c1060"],"views":2393,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6552","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6552"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6552\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6552"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6552"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}