Abstract:
A mobile robot (100) including a drive system (200) having a forward drive direction (F), a controller (500) in communication with the drive system, and a volumetric point cloud imaging device (450) supported above the drive system and directed to be capable of obtaining a point cloud from a volume of space that includes a floor plane (5) in a direction of movement of the mobile robot. A dead zone sensor (490) has a detection field (492) arranged to detect an object in a volume of space (453) undetectable by the volumetric point cloud imaging device. The controller receives point cloud signals from the imaging device and detection signals from the dead zone sensor and issues drive commands to the drive system based at least in part on the received point cloud and detection signals.
Abstract:
A method of operating a mobile robot (100) to traverse a threshold (T) includes detecting a threshold proximate the robot. The robot includes a holonomic drive system (200) having first, second, and third drive elements (210a-c) configured to maneuver the robot omni-directionally. The method further includes moving the first drive element (210a) onto the threshold from a first side and moving the second drive element (210b) onto the threshold to place both the first and second drive elements on the threshold. The method includes moving the first drive element off a second side of the threshold, opposite to the first side of the threshold, and moving the third drive element (210c) onto the threshold, placing both the second and third drive elements on the threshold. The method includes moving both the second and third drive elements off the second side of the threshold.
Abstract:
A human interface robot (100) that includes a controller (500), a camera (320, 320a, 320b, 450, 450a, 450b) in communication with the controller, and a display (310, 310a, 310b, 312) in communication with the controller. The controller displays received image data on the display as an image (1602), identifies at least one shape (1610, 1610a, 1610b) in the image, and displays a shape specific label (1620) on the image at least near the shape.
Abstract:
Disclosed is a mobile robot with a housing, wherein a memory module is coupled to the housing. The memory module can store an image file of at least one arbitrarily shaped ink mark which is human-imperceptible and forms a landmark on a navigable route. Mounted to the housing, is a detector configured to detect ink marks marked on a surface. The mobile robot includes a confidence matching system coupled to the memory module and the detector. The confidence matching system is configured to determine whether a detected ink mark is a landmark based on a comparison of the detected ink mark with the stored image file of the at least one ink mark. The mobile robot includes a navigation system coupled to the confidence matching system configured to navigate the robot through an area including the navigable route based on recognition of the landmark.
Abstract:
Systems, methods and devices for the automated retrieval/delivery of goods from one location to another using a robotic device such as a tug and accompanying cart. A computer within the tug/cart stores a map of the building floor plan and intended paths for the tug to take when traversing from one location to the next. During the delivery, a variety of different sensors and scanners gather data that is used to avoid obstacles and/or continuously adjust the movement of the tug in order to more closely follow the intended path. The system preferably includes wireless networks that allow one or more tugs to communicate with a tug base station, a primary network located at the site of the delivery and a remote host center that monitors the status and data collected by the tugs.
Abstract:
원격현전로봇은구동시스템과, 제어시스템과, 이미징시스템, 및매핑모듈(mapping module)을포함할수 있다. 매핑모듈은일 영역의평면도지도및 그영역과결부된태그에액세스할수 있다. 다양한실시예에서, 각태그는태그좌표와, 태그주석(tag annotation)을포함할수 있는태그정보를포함할수 있다. 태그식별시스템은현재위치의기설정범위내의태그를식별할수 있고, 제어시스템은그 태그정보가원격현전로봇동작수정부(action modifier)를포함하는식별된태그에기초하여동작을실행할수 있다. 원격현전로봇은하부에독립적으로상부를회전시킬수 있다. 원격터미널은조종자가, 라이브비디오피드에서목적지를선택하는, 평면도지도상에서목적지를선택하는, 또는조이스틱혹은다른주변장치를사용하는것을포함하는제어방법의임의의조합을사용하여원격현전로봇을제어할수 있게한다.
Abstract:
The present invention relates to a service distribution car integral control system using wireless communications and to a service distribution car. More specifically, using a central computer connected to a plurality of service distribution cars through wireless communications, each service distribution car can be effectively and integrally managed. The service distribution car of the present invention is equipped with a warming chamber and a cooling chamber and provides foods. The service distribution car comprises a body unit which is equipped with a temperature adjusting unit for controlling the temperature of an accommodating space consisting of the warming chamber and the cooling chamber; a plurality of driving wheels which are fixed to the bottom of the body unit and connected to a driving unit for supplying rotary power; and a control unit which is installed on the front surface of the body unit, controls a forward and backward movement, the speed, and a set temperature of the service distribution car, and reduces the speed of or stops the service distribution car when a driving disorder or an emergency stop of the service distribution car occurs. By means of the service distribution car integral control system using wireless communications and the service distribution car, a plurality of service distribution cars can be effectively and integrally managed through wireless communications using the central computer disposed in a remote place.
Abstract:
PURPOSE: An apparatus and a method of feature registration for image based localization and a robot cleaner including the same are provided to efficiently register a feature point by determining a minimum value among depth values of pixels adjacent to a feature point as a depth value of the feature point. CONSTITUTION: An apparatus of feature registration comprises an image input device (100) configured to input a 2D image and a depth image; an image processing device (200) configured to extract a feature point and depth information from the 2D image and the depth image and generate a descriptor by matching the extracted feature point with the depth information; and an image register device (300) configured to register the feature point including the descriptor that is generated in the image processing device. [Reference numerals] (100) Image input device; (110) First image input unit; (120) Second image input unit; (200) Image processing device; (210) Feature point extraction unit; (220) Depth information extraction unit; (230) Feature point matching unit; (240) Descreptor generating unit; (300) Image register device; (310) Feature point registering unit; (320) Database