Editing Robot (section)

===== Intelligent AGVs (i-AGVs) =====
Such as SmartLoader,<ref>{{cite web|title=Automatic Trailer Loading Vehicle - SmartLoader|url=http://www.jervisbwebb.com/Products/automatic_trailer_loading.aspx?pid=190&qs=1_3_|access-date=2 September 2011|archive-url=https://web.archive.org/web/20130523015511/http://www.jervisbwebb.com/Products/automatic_trailer_loading.aspx?pid=190&qs=1_3_|archive-date=23 May 2013|url-status=dead}}</ref> SpeciMinder,<ref>{{cite web |url=http://www.ccsrobotics.com/products/speciminder.html |title=SpeciMinder |publisher=CSS Robotics |access-date=25 September 2008 |archive-url=https://web.archive.org/web/20090701131848/http://www.ccsrobotics.com/products/speciminder.html |archive-date=1 July 2009 |url-status=live }}</ref> ADAM,<ref>{{cite web|url=http://www.rmtrobotics.com/tire_agv.html |archive-url=https://web.archive.org/web/20060517153330/http://rmtrobotics.com/tire_agv.html |archive-date=17 May 2006 |title=ADAM robot |publisher=RMT Robotics |access-date=25 September 2008 |url-status=dead}}</ref> Tug<ref>{{cite web|url=http://www.aethon.com/can_do_tug.html |title=Can Do |publisher=Aethon |access-date=25 September 2008 |archive-url = https://web.archive.org/web/20080803173353/http://www.aethon.com/can_do_tug.html <!-- Bot retrieved archive --> |archive-date = 3 August 2008 |url-status=dead}}</ref> Eskorta,<ref>{{cite web |url=http://www.fennecfoxtech.com |title=Eskorta robot |publisher=Fennec Fox Technologies |access-date=25 November 2011 |archive-url=https://web.archive.org/web/20111206082746/http://www.fennecfoxtech.com/ |archive-date=6 December 2011 |url-status=dead}}</ref> and MT 400 with Motivity<ref>{{cite web|url=http://www.mobilerobots.com/AGV.html |title=Delivery Robots & AGVs |publisher=Mobile Robots |access-date=25 September 2008|archive-url=https://web.archive.org/web/20100226202710/http://www.mobilerobots.com/AGV.html|archive-date=26 February 2010 |url-status=dead}}</ref> are designed for people-friendly workspaces. They navigate by recognizing natural features. [[3D scanner]]s or other means of sensing the environment in two or three dimensions help to eliminate cumulative [[observational error|errors]] in [[dead reckoning|dead-reckoning]] calculations of the AGV's current position. Some AGVs can create maps of their environment using scanning lasers with [[simultaneous localization and mapping]] (SLAM) and use those maps to navigate in real time with other [[path planning]] and obstacle avoidance algorithms. They are able to operate in complex environments and perform non-repetitive and non-sequential tasks such as transporting [[photomask]]s in a semiconductor lab, specimens in hospitals and goods in warehouses. For dynamic areas, such as warehouses full of pallets, AGVs require additional strategies using three-dimensional sensors such as [[time-of-flight camera|time-of-flight]] or [[computer stereo vision|stereovision]] cameras.