[et_pb_section bb_built=”1″ fullwidth=”on” specialty=”off” _builder_version=”3.0.86″ background_image=”https:\/\/ryma.cinvestav.mx\/ravg\/wp-content\/uploads\/sites\/19\/2017\/09\/IMAGEN-CAMPA\u00d1A1.jpg” global_module=”714″][et_pb_fullwidth_header admin_label=”RESEARCH_UpperTitle” global_parent=”714″ _builder_version=”3.0.86″ title=”RAVG: Robotics Active Vision” subhead=”Research” text_orientation=”left” header_fullscreen=”off” header_scroll_down=”off” image_orientation=”center” background_layout=”dark” content_orientation=”center” custom_button_two=”off” button_two_icon_placement=”right” custom_button_one=”off” button_one_icon_placement=”right” background_overlay_color=”rgba(0,0,0,0.3)” text_shadow_style=”preset3″ text_shadow_blur_strength=”1em” text_shadow_color=”rgba(0,0,0,0.8)” title_font=”|700|||||||” subhead_font=”|700|||||||” subhead_font_size=”20″ \/][et_pb_fullwidth_menu global_parent=”714″ _builder_version=”3.0.86″ menu_id=”10″ background_color=”#d3d3d3″ submenu_direction=”downwards” fullwidth_menu=”off” background_layout=”light” active_link_color=”#8300e9″ menu_font=”|700|||||||” \/][\/et_pb_section][et_pb_section bb_built=”1″ admin_label=”Section with nice shadow” _builder_version=”3.0.86″ custom_css_main_element=”box-shadow: inset 0px 3px 2px rgba(50, 50, 50, 0.75);”][et_pb_row _builder_version=”3.0.47″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″][et_pb_text admin_label=”Active Vision and Field Robotics” _builder_version=”3.0.86″ background_layout=”light”]<\/p>\n
The research is focused primarily on developing a clear understanding of the computational and engineering aspects related to perception, reconstruction, recognition and tracking with the aim of improving existing robotic systems and\/or designing new models to allow for a semi-autonomous or fully autonomous operation.
\nA key aspect is the use and understanding how sensor data (e.g., visual, inertial, force sensors) can be integrated in an efficient way to achieve our goals.<\/p>\n
The research lines we address are: visual-based spatial (absolute) and topological (qualitative) localization, cognitive learning skills for navigation, active perception and human-robot interaction, visual based autonomous navigation, obstacle avoidance, 3D environment reconstruction for mobile robots, characterization of the 3D structure of environments using statistical and probabilistic methods.<\/p>\n
[\/et_pb_text][et_pb_text admin_label=”Shape analysis and 3D reconstruction” _builder_version=”3.0.86″ background_layout=”light”]<\/p>\n
This research is related with the discovery of hidden relationships in data containing a large amount of variables in comparison with a small number of observations. This falls in the field of statistical analysis with an emphasis on\u00a0dimensionality reduction for\u00a0building a more suitable representation for the data. Besides other applications such as humanoid robotics, acoustics and more recently agricultural analysis, we\u00a0have applied dimensionality reduction techniques\u00a0in two main areas of\u00a0computer vision:\u00a0Shape Analysis and\u00a03D reconstruction<\/strong>.<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Applied Computer Vision” _builder_version=”3.0.86″ background_layout=”light”]<\/p>\n The main topics here are related with object recognition and image understanding applied to mobile and aerial robots. We explore Machine Learning Techniques to solve real world problems.<\/p>\n The specific topics are:<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Vision in Robotics” _builder_version=”3.0.86″ background_layout=”light”]<\/p>\n The research areas are:<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ fullwidth=”off” specialty=”off” background_color=”rgba(0,0,0,0.32)” inner_shadow=”on” custom_css_main_element=”box-shadow: inset 0px 3px 2px rgba(150, 150, 150, 0.85);” _builder_version=”3.0.72″ locked=”off” global_module=”321″][et_pb_row global_parent=”321″ make_fullwidth=”off” use_custom_width=”off” width_unit=”on” use_custom_gutter=”off” allow_player_pause=”off” parallax=”off” parallax_method=”on” make_equal=”off” parallax_1=”off” parallax_method_1=”off” custom_margin=”-40px|||” background_position=”top_left” background_repeat=”repeat” background_size=”initial” parent_locked=”off”][et_pb_column type=”4_4″][et_pb_image admin_label=”LogoCINVESTAV del Pie de p\u00e1gina” global_parent=”321″ src=”https:\/\/ryma.cinvestav.mx\/wp-content\/uploads\/2014\/08\/roboticaCinvestavOK_transparencia_white.png” alt=”Rob\u00f3tica y Manufactura Avanzada, Cinvestav” show_in_lightbox=”off” url_new_window=”off” use_overlay=”off” animation=”off” sticky=”on” align=”center” max_width=”95px” max_width_last_edited=”on|desktop” force_fullwidth=”off” always_center_on_mobile=”on” custom_margin=”||15px|” _builder_version=”3.0.85″ parent_locked=”off” url=”https:\/\/ryma.cinvestav.mx\/” show_bottom_space=”on” \/][et_pb_text global_parent=”321″ _builder_version=”3.0.72″ background_layout=”dark” text_orientation=”center” border_style=”solid” custom_margin=”||-50px|” parent_locked=”off”]<\/p>\n Av. Industrial\u00a0Metalurgia\u00a0#1062,\u00a0Parque Ind. Ramos Arizpe,\u00a0Ramos Arizpe, Coah.\u00a0C.P. 25900, M\u00e9xico. \u00a0Tel. +52 (844) 438-9600<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" <\/i> Active Vision and Field Robotics The research is focused primarily on developing a clear understanding of the computational and engineering aspects related to perception, reconstruction, recognition and tracking with the aim of improving existing robotic systems and\/or designing new models to allow for a semi-autonomous or fully autonomous operation. A key […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":7,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-543","page","type-page","status-publish","hentry"],"yoast_head":"\n
\n<\/i> Applied Computer Vision<\/h1>\n
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\n<\/i>\u00a0Vision in Robotics<\/h1>\n
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