{"version":"1.0","provider_name":"Robotics Active Vision Group","provider_url":"https:\/\/ryma.cinvestav.mx\/ravg","author_name":"admin","author_url":"https:\/\/ryma.cinvestav.mx\/ravg\/author\/admin\/","title":"Autonomous Navigation for an Underwater Robot with Obstacle Avoidance - Robotics Active Vision Group","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"waPBkvC0P0\"><a href=\"https:\/\/ryma.cinvestav.mx\/ravg\/project\/autonomous-navigation-underwater-robot-obstacle-avoidance\/\">Autonomous Navigation for an Underwater Robot with Obstacle Avoidance<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/ryma.cinvestav.mx\/ravg\/project\/autonomous-navigation-underwater-robot-obstacle-avoidance\/embed\/#?secret=waPBkvC0P0\" width=\"600\" height=\"338\" title=\"&#8220;Autonomous Navigation for an Underwater Robot with Obstacle Avoidance&#8221; &#8212; Robotics Active Vision Group\" data-secret=\"waPBkvC0P0\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/ryma.cinvestav.mx\/ravg\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/ryma.cinvestav.mx\/ravg\/wp-content\/uploads\/sites\/19\/2017\/11\/Mexibot_imagen_editar.jpg","thumbnail_width":800,"thumbnail_height":600,"description":"We have developed a behavioral approach for autonomous robotic exploration of marine habitat with collision avoidance. In particular, we are interested in exploration and continuous monitoring of coral reefs in order to diagnose disease or physical damage, while avoiding collisions with fragile marine life and structure. An autonomous underwater vehicle (AUV) needs to decide in [&hellip;]"}