Robert Platt

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Northeastern University

Learning visual servo policies via planner cloning

Learning control policies for visual servoing in novel environments is a...
05/24/2020 ∙ by Ulrich Viereck, et al. ∙ 1 ∙ share

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Learning discrete state abstractions with deep variational inference

Abstraction is crucial for effective sequential decision making in domai...
03/09/2020 ∙ by Ondrej Biza, et al. ∙ 48 ∙ share

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Learning Manipulation Skills Via Hierarchical Spatial Attention

Learning generalizable skills in robotic manipulation has long been chal...
04/19/2019 ∙ by Marcus Gualtieri, et al. ∙ 0 ∙ share

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Online abstraction with MDP homomorphisms for Deep Learning

Abstraction of Markov Decision Processes is a useful tool for solving co...
11/30/2018 ∙ by Ondrej Biza, et al. ∙ 0 ∙ share

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AutOTranS: an Autonomous Open World Transportation System

Tasks in outdoor open world environments are now ripe for automation wit...
10/08/2018 ∙ by Brayan S. Zapata-Impata, et al. ∙ 0 ∙ share

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A Scooter-Mounted Robot Arm to Assist with Activities of Daily Life

Many people with motor disabilities struggle with activities of daily li...
09/25/2018 ∙ by Dian Wang, et al. ∙ 0 ∙ share

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Adapting control policies from simulation to reality using a pairwise loss

This paper proposes an approach to domain transfer based on a pairwise l...
07/27/2018 ∙ by Ulrich Viereck, et al. ∙ 2 ∙ share

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Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation Policies

In applications of deep reinforcement learning to robotics, it is often ...
06/26/2018 ∙ by Robert Platt, et al. ∙ 0 ∙ share

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Learning 6-DoF Grasping and Pick-Place Using Attention Focus

We address a class of manipulation problems where the robot perceives th...
06/15/2018 ∙ by Marcus Gualtieri, et al. ∙ 0 ∙ share

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Hierarchical Reinforcement Learning with Hindsight

Reinforcement Learning (RL) algorithms can suffer from poor sample effic...
05/21/2018 ∙ by Andrew Levy, et al. ∙ 0 ∙ share

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Hierarchical Actor-Critic

We present a novel approach to hierarchical reinforcement learning calle...
12/04/2017 ∙ by Andrew Levy, et al. ∙ 0 ∙ share

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Learning a visuomotor controller for real world robotic grasping using simulated depth images

We want to build robots that are useful in unstructured real world appli...
06/14/2017 ∙ by Ulrich Viereck, et al. ∙ 0 ∙ share

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Robert Platt

Featured Co-authors

Kate Saenko

Jan-Willem van de Meent

Lawson L. S. Wong

Ulrich Viereck

Marcus Gualtieri

Hanumant Singh

Andreas ten Pas

Colin Kohler

Vikrant Shah

Andrew Levy

Brayan S. Zapata-Impata

Learning visual servo policies via planner cloning

Learning discrete state abstractions with deep variational inference

Learning Manipulation Skills Via Hierarchical Spatial Attention

Online abstraction with MDP homomorphisms for Deep Learning

AutOTranS: an Autonomous Open World Transportation System

A Scooter-Mounted Robot Arm to Assist with Activities of Daily Life

Adapting control policies from simulation to reality using a pairwise loss

Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation Policies

Learning 6-DoF Grasping and Pick-Place Using Attention Focus

Hierarchical Reinforcement Learning with Hindsight

Hierarchical Actor-Critic

Learning a visuomotor controller for real world robotic grasping using simulated depth images