Reaching Algorithm Implemented Using Gradient Descent
Law, Allan
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https://hdl.handle.net/2142/46496
Description
Title
Reaching Algorithm Implemented Using Gradient Descent
Author(s)
Law, Allan
Contributor(s)
Levinson, Stephen
Issue Date
2012-05
Keyword(s)
robotics
artificial intelligence
humanoid robots
robot vision
robotic control
gradient descent algorithms
Abstract
The aim of this thesis is to provide a simple visual closed loop control method to enable a humanoid
robot to reach out towards an object in its visual field in 3D space. To achieve this task, the robot utilizes
stereo vision to estimate the relative depths of its end-effector and the desired gripping location of the
object. Gradient descent will be applied to the output obtained from the stereo vision to enable the
robot to correctly position its end-effector at a desired position. By utilizing this gradient decent
method, we will be able control the robot’s end-effectors without the need to map the robot’s end-effectors
in world coordinates to the spatial locations found using stereo vision.
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