Learning and Intelligent Systems Group

Time 2021-05-14 19:20:41

Web Name: Learning and Intelligent Systems Group

WebSite: http://lis.csail.mit.edu

ID:176624

Keywords:

and,Learning,Intelligent,

Description:

Part of Robotics@MIT and Embodied Intelligence@MIT We conduct interdisciplinary research aimed at discovering the principles underlying the design of artificially intelligent robots. Our goal is to create robots that can perform the kinds of everyday tasks that come naturally to humans, but that are beyond the reach of current technology. Our research brings together ideas from motion and task planning, machine learning, reinforcement learning, and computer vision to synthesize robot systems that are capable of behaving intelligently across a wide range of problem domains. We are driven by the immense challenges faced by robots with imperfect sensors and incomplete knowledge of the world operating in unstructured environments. March 15, 2021 Learning to Generate Abstractions for Faster Planning Authors: Rohan Chitnis, Tom Silver In our recent work, we consider strategies for effective and efficient decision-making that lie between the two extremes of pure learning and pure planning. Our main idea is to learn to generate abstractions of problems that afford faster planning. January 15, 2021 The engineering science of embodied intelligence Authors: Leslie Pack Kaelbling Natural science and engineering science Cognitive science and neuroscience study the processes by which humans and other animals generate behavior that is intelligent: robust, flexible, and effective at achieving and maintaining the welfare of the individual. Artificial intelligence studies the processes by which computers can generate behavior that is intelligent: robust, flexible, and effective at [ ]

TAGS:and Learning Intelligent 

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