02-07-2012, 02:45 PM
HUMANOIDS
HUMANOIDS.pdf (Size: 28.24 KB / Downloads: 27)
The field of Humanoids Robotics is widely
recognized as the current challenge for robotics
research .The humanoid research is an approach to
understand and realize the complex real world
interactions between a robot, an environment, and
a human. The humanoid robotics motivates social
interactions such as gesture communication or
co-operative tasks in the same context as the
physical dynamics. This is essential for three-term
interaction, which aims at fusing physical and
social interaction at fundamental levels.
The proposed methodology includes the application
of the reinforcement-learning paradigm to back
propagation NNs, in order to replicate the human
capability of creating associations between sensory
data and motor schemes, based on the results of
attempts to perform movements. The resulting
robot behavior consists in co-ordinating the
movement of the fingertip along an object edge, by
integrating visual information on the edge,
proprioceptive information on the arm
configuration, and tactile information on the
contact, and by processing this information in a
neural framework based on the
reinforcement-learning paradigm.
The Vision System:
The use of MEP tracking system is made to
implement the facial gesture interface. This vision
system is manufactured by Fujitsu and is designed
to track in real time multiple templates in frames
of a NTSC video stream. It consists of two
VME-bus cards, a video module and tracking
module, which can track up to 100 templates
simultaneously at video frame rate (30Hz for
NTSC).
HUMANOIDS.pdf (Size: 28.24 KB / Downloads: 27)
The field of Humanoids Robotics is widely
recognized as the current challenge for robotics
research .The humanoid research is an approach to
understand and realize the complex real world
interactions between a robot, an environment, and
a human. The humanoid robotics motivates social
interactions such as gesture communication or
co-operative tasks in the same context as the
physical dynamics. This is essential for three-term
interaction, which aims at fusing physical and
social interaction at fundamental levels.
The proposed methodology includes the application
of the reinforcement-learning paradigm to back
propagation NNs, in order to replicate the human
capability of creating associations between sensory
data and motor schemes, based on the results of
attempts to perform movements. The resulting
robot behavior consists in co-ordinating the
movement of the fingertip along an object edge, by
integrating visual information on the edge,
proprioceptive information on the arm
configuration, and tactile information on the
contact, and by processing this information in a
neural framework based on the
reinforcement-learning paradigm.
The Vision System:
The use of MEP tracking system is made to
implement the facial gesture interface. This vision
system is manufactured by Fujitsu and is designed
to track in real time multiple templates in frames
of a NTSC video stream. It consists of two
VME-bus cards, a video module and tracking
module, which can track up to 100 templates
simultaneously at video frame rate (30Hz for
NTSC).