{"id":55,"date":"2012-09-12T03:46:41","date_gmt":"2012-09-12T03:46:41","guid":{"rendered":"http:\/\/coro.etsmtl.ca\/blog\/?p=55"},"modified":"2012-09-12T19:24:40","modified_gmt":"2012-09-12T19:24:40","slug":"delta-robots-vs-scara-robots","status":"publish","type":"post","link":"https:\/\/coroblog.etsmtl.ca\/?p=55","title":{"rendered":"Delta robots vs SCARA robots"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"data:image\/jpeg;base64,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\" alt=\"\" width=\"324\" height=\"227\" \/>Ever since I wrote <a title=\"Delta Parallel Robot \u2014 the Story of Success\" href=\"http:\/\/www.parallemic.org\/Reviews\/Review002.html\" target=\"_blank\">my feature article on the Delta robot<\/a>, more than a decade ago, I&#8217;ve been wondering whether the Delta robot\u00a0\u2014 or any similar parallel robot\u00a0\u2014 is really better than a SCARA robot. Of course, the Delta robot, invented by Prof. Reymond Clavel some <a title=\"Reymond Clavel, creator of the Delta Robot reflects on his career\" href=\"http:\/\/sti.epfl.ch\/page-76362-en.html\" target=\"_blank\">thirty years ago<\/a>, has been a huge success. More than 10,000 units of pick-and-place Delta robots have been sold by ABB, SIG, BOSCH and many other companies. (ABB alone <a title=\"ABB's FlexPicker\" href=\"http:\/\/www.abb.com\/product\/seitp327\/cf1b0a0847a71711c12573f40037d5cf.aspx\" target=\"_blank\">claims to have sold more than 1800 units<\/a>.)\u00a0Now, that the original patent of the Delta robot has expired, there are dozens of companies manufacturing Delta robots for material handling applications (<a title=\"Video of FANUC's M-1iA Delta robot\" href=\"http:\/\/youtu.be\/nOpOv-Fh7is\" target=\"_blank\">FANUC<\/a>, <a title=\"Video of Motoman's Delta robot\" href=\"http:\/\/youtu.be\/9-3e90x4AsQ\" target=\"_blank\">Motoman<\/a>, <a title=\"Video of Kawasaki's Delta robot\" href=\"http:\/\/youtu.be\/UYDas9iD85A\" target=\"_blank\">Kawasaki<\/a>,\u00a0<a title=\"Codian Robotics' Delta robots\" href=\"http:\/\/www.codian-robotics.com\/en\/robotics\/d4_robots\/\" target=\"_blank\">Codian Robotics<\/a>, <a title=\"Asyril's mini Delta robot\" href=\"http:\/\/www.asyril.ch\/products\/delta-robots.html\" target=\"_blank\">Asyril<\/a>,\u00a0etc.). Some of these Deltas are suspiciously low-cost (<a title=\"TOSY Robotics' Delta robot\" href=\"http:\/\/www.tosy.com\/en\/products\/industrial-robots\/parallel-robots\/\" target=\"_blank\">TOSY Robotics<\/a> of Vietnam sells their TI P306-01 Deltas for $2,500 each), but in general, a 4-axis Delta robot such as the FlexPicker costs more than $40,000.<\/p>\n<p><!--more--><\/p>\n<p>Of course, in theory, a Delta robot is supposed to be much faster than a SCARA robot. Both robots were introduced commercially in the early 1980s, but the SCARA robot concept\u00a0 picked up steam much faster. According to the International Federation of Robotics, there are more than 10,000 SCARA robot installations&#8230; per year.<\/p>\n<p>Five years ago, a major user of FlexPickers told me: &#8220;We have used SCARA and Delta style robots for high speed pick and place applications across our manufacturing network. The downside of SCARA robots is slower speed, greater footprint, and reduced flexibility. The early Adept robots were designed to handle heavy items, not cookies. Delta style robots, which include the SIG Delta, ABB Flexpicker, and Adept Quattro, offer an automation solution that is designed for high speed pick and place applications, integrated vision systems, and greater flexibility. We have delta style robots running over 120 picks per minute compared to 60-70 on a conventional SCARA. Therefore, the cost difference is minimal when utilizing half the number of robots for the same application.&#8221;<\/p>\n<p>We at the \u00c9TS have ABB&#8217;s latest FlexPicker model (here is a <a title=\"The first FlexPicker that we had\" href=\"http:\/\/youtu.be\/ciFym5XLCiU\" target=\"_blank\">video<\/a> of the previous model). It flies like an arrow, but its accuracy is quite poor. We also built a high-speed <a title=\"DexTAR\" href=\"http:\/\/youtu.be\/dnixuCu49o4\" target=\"_blank\">five-bar parallel robot<\/a>, which is highly accurate, but it is hardly as fast and as cheap as a standard SCARA robot. Indeed, you can purchase a good SCARA robot for less than $20,000. Only the motors of our five-bar robot cost $6,000 each&#8230;<\/p>\n<p>Last year, Mitsubishi Electric launched a new\u00a0<a title=\"Mitsubishi Electric's new SCARA robot\" href=\"http:\/\/www.automationworld.com\/control\/top-mounted-scara-robot-outperforms-delta-robots\" target=\"_blank\">top-mounted SCARA robot<\/a>\u00a0that can handle 188 parts per minute and is said to be up to 40% less expensive than Delta robots. A few months later, St\u00e4ubli launched their impressive top-mounted <a title=\"St\u00e4ubli TP80 SCARA robot\" href=\"http:\/\/youtu.be\/Em7C1SlqId8\" target=\"_blank\">TP80 SCARA robot<\/a>. The robot&#8217;s price starts at about $46,000, but it can handle 200 parts per minute (at a payload of 0.1 kg) and covers almost completely a circular area of 1600 mm in diameter. <a title=\"Adept's Quattro parallel robot\" href=\"http:\/\/www.adept.com\/products\/robots\/parallel\/quattro-s650h\/technical-data\" target=\"_blank\">Adept&#8217;s Quattro parallel robot<\/a>\u00a0is still marketed as &#8220;World&#8217;s fastest industrial robot&#8221; but it can handle the same number of parts per minute (at 0.1 kg) and covers a slightly smaller working area.<\/p>\n<p>I was recently told off-the-record by a key player that Delta style parallel robots are still sold mainly thanks to good marketing. Logically, parallel robots should be faster than serial robots. And they are surely more attractive and have more intricate designs (think of LIRMM&#8217;s <a title=\"LIRMM's Quattro\" href=\"http:\/\/www2.cnrs.fr\/en\/937.htm\" target=\"_blank\">Quattro<\/a> or Laval University&#8217;s\u00a0<a title=\"Laval University's Tripteron\" href=\"http:\/\/robot.gmc.ulaval.ca\/en\/research\/theme104.html\" target=\"_blank\">Tripteron<\/a>). Search &#8220;Delta robot&#8221; in YouTube and you will see dozens of home-made Deltas, but you won&#8217;t see any do-it-yourself SCARAs. Parallel robots are fascinating, but if I had a cookie factory, I think I might consider purchasing SCARA robots instead.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ever since I wrote my feature article on the Delta robot, more than a decade ago, I&#8217;ve been wondering whether the Delta robot\u00a0\u2014 or any similar parallel robot\u00a0\u2014 is really better than a SCARA robot. Of course, the Delta robot, invented by Prof. Reymond Clavel some thirty years ago, has \u2026 <a class=\"continue-reading-link\" href=\"https:\/\/coroblog.etsmtl.ca\/?p=55\"> Continue reading <span class=\"meta-nav\">&rarr; <\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_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":[1],"tags":[],"class_list":["post-55","post","type-post","status-publish","format-standard","hentry","category-parallel-robots"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3r93C-T","_links":{"self":[{"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=\/wp\/v2\/posts\/55","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=55"}],"version-history":[{"count":10,"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=\/wp\/v2\/posts\/55\/revisions"}],"predecessor-version":[{"id":69,"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=\/wp\/v2\/posts\/55\/revisions\/69"}],"wp:attachment":[{"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=55"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=55"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/coroblog.etsmtl.ca\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=55"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}