Andere Kunden interessierten sich auch für
![Hardware Design Optimization for Human Motion Tracking Systems]( "Hardware Design Optimization for Human Motion Tracking Systems")
Hardware Design Optimization for Human Motion Tracking Systems44,99 €![Speed and Deep Measurements from Motion blurred Images]( "Speed and Deep Measurements from Motion blurred Images")
Speed and Deep Measurements from Motion blurred Images32,99 €![Motion Data Mining and Activity Recognition]( "Motion Data Mining and Activity Recognition")
Motion Data Mining and Activity Recognition51,99 €![State Based Motion Transitions Using Framespace Interpolation]( "State Based Motion Transitions Using Framespace Interpolation")
State Based Motion Transitions Using Framespace Interpolation51,99 €![Motion Analysis Using GPS]( "Motion Analysis Using GPS")
Motion Analysis Using GPS44,99 €![Motion Planning]( "Motion Planning")
Motion Planning44,99 €![Motion and Operation Planning of Robotic Systems]( "Motion and Operation Planning of Robotic Systems")
Motion and Operation Planning of Robotic Systems110,99 €
I have chosen electrosensory systems as a platform
to explore sensing and control in both artificial and
biological systems. In particular,
active electrolocation is investigated, where the
task is to estimate the location of a target using
measurements from a self-generated electric field.
The fundamentals of electrolocation are described
first with a finite-element numerical approximation
of the governing equations, and then simple models
are used to predict electrosensory observations.
Several belief maintenance schemes are employed to
fuse sensor data and explicitly account for
uncertainties in the position of the target. In the
biological realm, a protocol for simulating the
sensory acquisition and belief maintenance during
prey-capture behavior in the weakly electric fish was
developed. Using these simulations optimal sensing
was investigated, and results provide insight into
the interdependencies and co-evolution of sensing and
motion systems of the weakly electric fish. In the
artificial realm, an electrosensory robot capable of
actively locating underwater targets by measuring
perturbations in a self-generated electric field was
built.
to explore sensing and control in both artificial and
biological systems. In particular,
active electrolocation is investigated, where the
task is to estimate the location of a target using
measurements from a self-generated electric field.
The fundamentals of electrolocation are described
first with a finite-element numerical approximation
of the governing equations, and then simple models
are used to predict electrosensory observations.
Several belief maintenance schemes are employed to
fuse sensor data and explicitly account for
uncertainties in the position of the target. In the
biological realm, a protocol for simulating the
sensory acquisition and belief maintenance during
prey-capture behavior in the weakly electric fish was
developed. Using these simulations optimal sensing
was investigated, and results provide insight into
the interdependencies and co-evolution of sensing and
motion systems of the weakly electric fish. In the
artificial realm, an electrosensory robot capable of
actively locating underwater targets by measuring
perturbations in a self-generated electric field was
built.