Abstract: The present invention provides an automaton (1) for treating a surface for treatment, the automaton comprising treatment means (10), e.g. an arm, having a movable end (12) configured to treat a surface, and an interface configured to indicate to the automaton the surface that is to be treated. The interface includes a screen (21) configured to display a representation of at least a portion of the surroundings in which the surface for treatment is to be found, and the interface is configured to enable a person to select the surface for treatment on the representation displayed on the screen (21).

Abstract: Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions. From depth images provided by a range finding imaging system, the method enables efficient and robust detection of a particular sequence of natural gestures including a beginning (start), and an ending (stop) of a predetermined type of natural gestures for delimiting the period during which a control (interaction) gesture is operating in an environment wherein a user is freely moving his hands. The invention is more particularly, although not exclusively, concerned by detection without any false positives nor delay, of intentionally performed natural gesture subsequent to a starting finger tip or hand tip based natural gesture so as to provide efficient and robust navigation, zooming and scrolling interactions within a graphical user interface up until the ending finger tip or hand tip based natural gesture is detected.

Abstract: The present invention provides a treatment method for treating a surface for treatment by means of an automaton (1) comprising: a base (2) configured to move over ground; a platform (6) mounted on the base and configured to move, at least in part, perpendicularly to the base; and treatment means (10) mounted on the platform and including a movable end (12) configured to treat a given area; the method comprising: a) subdividing the surface for treatment into subdivisions of area less than or equal to the given area; b) treating the surface of each subdivision by controlling movements of the treatment means (10); and c) changing subdivision by moving the platform (6) and/or by moving the base (2) over the ground. The invention also provides an automaton for performing the above method.

Abstract: The present invention provides a treatment method for treating a surface for treatment by means of an automaton (1) comprising: a base (2) configured to move over ground; a platform (6) mounted on the base and configured to move, at least in part, perpendicularly to the base; and treatment means (10) mounted on the platform and including a movable end (12) configured to treat a given area; the method comprising: a) subdividing the surface for treatment into subdivisions of area less than or equal to the given area; b) treating the surface of each subdivision by controlling movements of the treatment means (10); and c) changing subdivision by moving the platform (6) and/or by moving the base (2) over the ground. The invention also provides an automaton for performing the above method.

Abstract: The present invention provides an automaton (1) for treating a surface for treatment, the automaton comprising treatment means (10), e.g. an arm, having a movable end (12) configured to treat a surface, and an interface configured to indicate to the automaton the surface that is to be treated. The interface includes a screen (21) configured to display a representation of at least a portion of the surroundings in which the surface for treatment is to be found, and the interface is configured to enable a person to select the surface for treatment on the representation displayed on the screen (21).

Abstract: Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions. From depth images provided by a range finding imaging system, the method enables efficient and robust detection of a particular sequence of natural gestures including a beginning (start), and an ending (stop) of a predetermined type of natural gestures for delimiting the period during which a control (interaction) gesture is operating in an environment wherein a user is freely moving his hands. The invention is more particularly, although not exclusively, concerned by detection without any false positives nor delay, of intentionally performed natural gesture subsequent to a starting finger tip or hand tip based natural gesture so as to provide efficient and robust navigation, zooming and scrolling interactions within a graphical user interface up until the ending finger tip or hand tip based natural gesture is detected.

Abstract: Described herein is a method and system for marker-less three-dimensional modelling, fitting and tracking of a skeletal representation of an object in a three-dimensional point cloud. In particular, it concerns the tracking of a human user skeletal representation with respect to time. The method comprises inputting a three-dimensional point cloud derived from a depth map; predetermining a set of control points representing the skeleton of the user, determining a start-up skeleton pose, obtaining an orthographic representation of the user 3D point cloud projected onto a grid by sampling the 3D point cloud with a predetermined static size, determining a set of curvature centers points approximating central axes of main parts of the user, determining the torso plane, and refining and/or defining the principal direction of the body.

Abstract: Described herein is a method and system for marker-less three-dimensional modelling, fitting and tracking of a skeletal representation of an object in a three-dimensional point cloud. In particular, it concerns the tracking of a human user skeletal representation with respect to time. The method comprises inputting a three-dimensional point cloud derived from a depth map; predetermining a set of control points representing the skeleton of the user, determining a start-up skeleton pose, obtaining an orthographic representation of the user 3D point cloud projected onto a grid by sampling the 3D point cloud with a predetermined static size, determining a set of curvature centres points approximating central axes of main parts of the user, determining the torso plane, and refining and/or defining the principal direction of the body.