Trajectory generation of a robot using a neural network

Trajectory generation of a robot using a neural network

A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, u...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xing, Galen Kailun, Lee, Daniel Dongyuel, Isler, Ibrahim Volkan, Wang, Ziyun, Huh, Jinwook
Format: Patent
Sprache:eng
Schlagworte:
CHAMBERS PROVIDED WITH MANIPULATION DEVICES
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
GYROSCOPIC INSTRUMENTS
HAND TOOLS
MANIPULATORS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
NAVIGATION
PERFORMING OPERATIONS
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
PORTABLE POWER-DRIVEN TOOLS
REGULATING
SURVEYING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TESTING
TRANSPORTING
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Beschreibung
Zusammenfassung:A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.