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SUMMARY:Robotic vision
DESCRIPTION:To register for your free place at this talk please email Katie
  Weeks (events@imperial.ac.uk).\nHumans move easily through their surround
 ings due to a powerful and efficient sense of vision. Robots originally la
 cked this ability to see the world\, but they are now catching up fast.\nR
 obots employ simultaneous localization and mapping (SLAM) to estimate the 
 shape of the world\, using a mobile camera to plot an unknown environment.
  In this lecture I will talk about my work on computer vision algorithms t
 o maximise the efficiency of SLAM and illustrate progress with live demons
 trations of landmark system.\nImprovements in algorithms alongside the exp
 onential rise in computer power is starting to make visual SLAM commercial
 ly feasible in small\, low-cost devices like domestic robots and smartphon
 es. Meanwhile\, academic research in robot vision is edging towards higher
  level artificial intelligence goals of object understanding and interacti
 on.\nBiography\nAndrew Davison grew up in Kent and studied physics before 
 becoming hooked by computer vision as a DPhil student in Oxford’s Active
  Vision Lab.  He spent two fantastic years as a post-doc in Japan before 
 returning the UK\, and came to Imperial in 2005\, always following his int
 erests in real-time localisation and mapping research.\nThe highlight of h
 is job is working with the tireless and talented members of the Robot Visi
 on Research Group\, and he is fortunate to have received extended and unfe
 ttered funding and the support of colleagues to follow long-term research 
 goals. He has long-term collaborations with industry to apply vision techn
 iques in robotics and related areas.\nOutside of work he enjoys sharing fu
 n and interesting moments\, projects and adventures with family and friend
 s\, and this year got as far as Paris on a bike.
URL:https://www.imperial.ac.uk/events/107977/robotic-vision/
DTSTART;TZID=Europe/London:20131030T173000
DTEND;TZID=Europe/London:20131030T183000
LOCATION:United Kingdom
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