{"id":138761,"date":"2014-09-03T23:41:01","date_gmt":"2014-09-04T03:41:01","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/making-sense-of-touch-compute.php"},"modified":"2014-09-03T23:41:01","modified_gmt":"2014-09-04T03:41:01","slug":"making-sense-of-touch-compute","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/making-sense-of-touch-compute.php","title":{"rendered":"Making sense of touch compute"},"content":{"rendered":"<p><p>    In factories and warehouses, robots routinely outdo humans in    strength and precision. Artificial intelligence software can    drive cars, beat grandmasters at chess and leave Jeopardy!    champions in the dust.  <\/p>\n<p>    But machines still lack a critical element that will keep them    from eclipsing most human capabilities anytime soon: a    well-developed sense of touch.  <\/p>\n<p>    Consider Dr. Nikolas Blevins, a head and neck surgeon at    Stanford Health Care who routinely performs ear operations    requiring that he shave away bone deftly enough to leave an    inner surface as thin as the membrane in an eggshell.  <\/p>\n<p>    Blevins is collaborating with roboticists J. Kenneth Salisbury    and Sonny Chan on designing software that will make it possible    to rehearse these operations before performing them. The    program blends X-ray and magnetic resonance imaging data to    create a vivid three-dimensional model of the inner ear,    allowing the surgeon to practice drilling away bone, to take a    visual tour of the patients skull and to virtually feel    subtle differences in cartilage, bone and soft tissue. Yet no    matter how thorough or refined, the software provides only the    roughest approximation of Blevins sensitive touch.  <\/p>\n<p>    Being able to do virtual surgery, you really need to have    haptics, he said, referring to the technology that makes it    possible to mimic the sensations of touch in a computer    simulation.  <\/p>\n<p>    The softwares limitations typify those of robotics, in which    researchers lag in designing machines to perform tasks that    humans routinely do instinctively. Since the first robotic arm    was designed at the Stanford Artificial Intelligence Laboratory    in the 1960s, robots have learned to perform repetitive factory    work, but they can barely open a door, pick themselves up if    they fall, pull a coin out of a pocket or twirl a pencil.  <\/p>\n<p>    The correlation between highly evolved artificial intelligence    and physical ineptness even has a name: Moravecs paradox,    after robotics pioneer Hans Moravec, who wrote in 1988, It is    comparatively easy to make computers exhibit adult-level    performance on intelligence tests or playing checkers, and    difficult or impossible to give them the skills of a 1-year-old    when it comes to perception and mobility.  <\/p>\n<p>    Advances in haptics and kinematics, the study of motion control    in jointed bodies, are essential if robots are ever to    collaborate with humans in hoped-for roles like food service    worker, medical orderly, office secretary and health care    assistant.  <\/p>\n<p>    It just takes time, and its more complicated, Ken Goldberg,    a roboticist at the University of California, Berkeley, said of    such advances. Humans are really good at this, and they have    millions of years of evolution.  <\/p>\n<p>    Touch impulses  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read more from the original source:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/www.punchng.com\/health\/science-world\/making-sense-of-touch-compute\" title=\"Making sense of touch compute\">Making sense of touch compute<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> In factories and warehouses, robots routinely outdo humans in strength and precision. Artificial intelligence software can drive cars, beat grandmasters at chess and leave Jeopardy! champions in the dust.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/making-sense-of-touch-compute.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-138761","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/138761"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=138761"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/138761\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=138761"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=138761"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=138761"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}