Creating Curious Robots

Start: Tuesday, March 10, 2009, 12:00PM

End: Tuesday, March 10, 2009, 01:00PM

Location: 325b ITE

Abstract: Applying machine learning to a robotics problem typically requires substantial human oversight to design the learning system, tune the parameters, define the task, determine the input and output representations, and create the training data set. In contrast, biological organisms are able to learn autonomously from unlabeled data in an open-ended fashion. Developmental robotics is an emerging field that strives to build better robots by applying insights from biological developmental processes. In this talk I will review several recent approaches from developmental robotics that use prediction to generate teaching signals. This results in a task-independent kind of learning in which the robot focuses on novel stimuli.

Tags: robotics, ai

Host: Marie desJardins


	UMBC eBiquity Events / Talks Creating Curious Robots OWL metadata Update record		Creating Curious Robots Tweet Speaker: Lisa Meeden Start: Tuesday, March 10, 2009, 12:00PM End: Tuesday, March 10, 2009, 01:00PM Location: 325b ITE Abstract: Applying machine learning to a robotics problem typically requires substantial human oversight to design the learning system, tune the parameters, define the task, determine the input and output representations, and create the training data set. In contrast, biological organisms are able to learn autonomously from unlabeled data in an open-ended fashion. Developmental robotics is an emerging field that strives to build better robots by applying insights from biological developmental processes. In this talk I will review several recent approaches from developmental robotics that use prediction to generate teaching signals. This results in a task-independent kind of learning in which the robot focuses on novel stimuli. Tags: robotics, ai Host: Marie desJardins ,