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Published byWarren Mason Modified over 9 years ago
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For many years human being has been trying to recreate the complex mechanisms that human body forms & to copy or imitate human systems As a result due to technical advancements humanoid robots came Here,Presentation is about Machine Learning strategies for humanoid robots from social interactions
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Human caregivers often employ learning aids, such as books, educational videos, drawing boards, musical or textured toys, to teach a child. Inspired in infant development, we developing a humanoid robot's perceptual system through the use of learning aids, cognitive artifacts, and educational activities so that a robot learns about the world according to a child’s developmental phases
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Learning experiments are used for transmitting information to the humanoid robot Cog. To learn about objects' multiple visual & auditory representations from books, musical instruments & educational activities such as drawing and painting Our strategy relies heavily in human-robot interactions. For instance, it is essential to have a human in the loop to introduce objects from a book to the robot
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Aids uses to diverse a set of animate objects, exposing the latter to an outside world of colors, forms, shapes and contrasts. Such as images of whales and cows Since these learning aids help to expand the child's knowledge of the world, they are a potentially useful tool for introducing new informative percepts to a robot.
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Hand gestures trajectories are now applied to recover the geometric shape (set of lines computed by applying the Hough Transform) Appearance( given by an image template enclosing such lines) of a scene object (as seen by the robot). Visual geometries in a scene (such as circles) are recognized as such from hand gestures having the same geometry (as is the case of circular gestures).
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Training data for object/face recognition is extracted by keeping objects and others faces in memory for a while, generating a collection of training samples consisting of multiple segmentations of objects and faces. (left) on-line experiment on Cog (right) schematic organization. 1. Object segmentation 2. Face detection and segmentation 3. Multiple object tracking 4. Object Recognition 5. Face Recognition.
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Industrial robots are being used in many manufacturing plants all over the world A broad variety of robots are available for special applications from different manufactures Humanoid robots work together in a shared space with humans. They are designed as universal helpers and should be able to learn new skills and to apply them to new, previously unknown tasks
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