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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/robotics/?t=robotics">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/robotics/?t=robotics]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for robotics]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/303/Robot-Line-Formation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/301/Feature-Based-Local-Policy-Reinforcement-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/288/Creating-Curious-Robots"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/233/Computer-mania-day"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/132/Using-Cognitive-Psychology-to-Solve-Robotics-Problems-An-Introduction-to-Cognitive-Robotics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/63/Trauma-Pod"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1150/Multimodal-Language-Learning-for-Object-Retrieval-in-Low-Data-Regimes-in-the-Face-of-Missing-Modalities"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/973/Measuring-Perceptual-and-Linguistic-Complexity-in-Multilingual-Grounded-Language-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/984/A-Simulator-for-Human-Robot-Interaction-in-Virtual-Reality"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/985/Towards-Making-Virtual-Human-Robot-Interaction-a-Reality"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/916/Building-Language-Agnostic-Grounded-Language-Learning-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/900/Learning-from-Human-Robot-Interactions-in-Modeled-Scenes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/901/Learning-from-Human-Robot-Interactions-in-Modeled-Scenes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/940/Deep-Learning-for-Category-Free-Grounded-Language-Acquisition"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/525/Real-Time-Path-Planning-for-a-Robotic-Arm"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/303/Robot-Line-Formation">
  <title><![CDATA[Robot Line Formation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/303/Robot-Line-Formation</link>
  <description><![CDATA[Pattern formation is one of the main research topics in swarm robotics. Its
goal is to control the motion of a set of robots in order to form the
desired shape. In this thesis, a scalable solution is proposed for the
particular case of line formation of differential drive robots, focused on
minimizing formation time. The problem is divided into three steps: line
formation, target assignment and navigation. The first step consists of
choosing the specific line the robots should form, and...]]></description>
  <dc:date>2009-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/301/Feature-Based-Local-Policy-Reinforcement-Learning">
  <title><![CDATA[Feature-Based Local Policy Reinforcement Learning]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/301/Feature-Based-Local-Policy-Reinforcement-Learning</link>
  <description><![CDATA[MS Defense

The problem of learning to control an agent in an arbitrary environment is
difficult. In robotics, the standard approach is to hand-code and manually
fine-tune a robot's perception of its environment and the actions it should
take given its current state. This is both time-consuming and expensive. A
better approach is to learn features and action policies without significant
manual intervention. This problem is investigated in the context of learning
image features to con...]]></description>
  <dc:date>2009-05-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/288/Creating-Curious-Robots">
  <title><![CDATA[Creating Curious Robots]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/288/Creating-Curious-Robots</link>
  <description><![CDATA[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 process...]]></description>
  <dc:date>2009-03-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/233/Computer-mania-day">
  <title><![CDATA[Computer mania day]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/233/Computer-mania-day</link>
  <description><![CDATA[The sixth annual UMBC Computer Mania Day will be held at UMBC on Saturday, May 3, 2008.  The event provides a half day of technology-related activities for up to 800 middle school girls and their parents and teachers.  Girls are the focus, but boys are welcome. This program is designed to provide a broad-based introduction to the ways in which different careers make use of technology. Several sessions are planned including ones on robotics and on social computing.  There is also a separate ad...]]></description>
  <dc:date>2008-05-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/132/Using-Cognitive-Psychology-to-Solve-Robotics-Problems-An-Introduction-to-Cognitive-Robotics">
  <title><![CDATA[Using Cognitive Psychology to Solve Robotics Problems: An Introduction to Cognitive Robotics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/132/Using-Cognitive-Psychology-to-Solve-Robotics-Problems-An-Introduction-to-Cognitive-Robotics</link>
  <description><![CDATA[This talk will describe the ongoing development of a robotic control architecture that was inspired by computational cognitive architectures from the discipline of cognitive psychology. The robotic control architecture combines symbolic and sub-symbolic representations of knowledge into a unified control structure. The architecture is organized as a goal-driven, serially executing production system at the highest symbolic level, and as a multiple-algorithm, parallel-executing, simple collecti...]]></description>
  <dc:date>2006-02-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/63/Trauma-Pod">
  <title><![CDATA[Trauma Pod]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/63/Trauma-Pod</link>
  <description><![CDATA[DARPA's Defense Sciences Office has funded a team led by SRI
to develop a prototype toward the development of a future
generation of battlefield-based unmanned medical treatment
systems.  These "Trauma Pods" will stabilize injured
soldiers within minutes after a battlefield trauma and
administer life-saving medical and surgical care prior to
evacuation and during transport.

The first phase of the program is an effort to develop
robotic technology to perform a totally unmanned surg...]]></description>
  <dc:date>2005-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1150/Multimodal-Language-Learning-for-Object-Retrieval-in-Low-Data-Regimes-in-the-Face-of-Missing-Modalities">
  <title><![CDATA[Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1150/Multimodal-Language-Learning-for-Object-Retrieval-in-Low-Data-Regimes-in-the-Face-of-Missing-Modalities</link>
  <description><![CDATA[Our study is motivated by robotics, where when dealing with robots or other physical systems, we often need to balance competing concerns of relying on complex, multimodal data coming from a variety of sensors with a general lack of large representative datasets.  Despite the complexity of modern robotic platforms and the need for multimodal interaction, there has been little research on integrating more than two modalities in a low data regime with the real-world constraint that sensors fail...]]></description>
  <dc:date>2023-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/973/Measuring-Perceptual-and-Linguistic-Complexity-in-Multilingual-Grounded-Language-Data">
  <title><![CDATA[Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/973/Measuring-Perceptual-and-Linguistic-Complexity-in-Multilingual-Grounded-Language-Data</link>
  <description><![CDATA[The success of grounded language acquisition using perceptual data (e.g., in robotics) is affected by the complexity of both the perceptual concepts being learned and the language describing those concepts. We present methods for analyzing this complexity, using both visual features and entropy-based evaluation of sentences. Our work illuminates core, quantifiable statistical differences in how language is used to describe different traits of objects, and the visual representation of those ob...]]></description>
  <dc:date>2021-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/984/A-Simulator-for-Human-Robot-Interaction-in-Virtual-Reality">
  <title><![CDATA[A Simulator for Human-Robot Interaction in Virtual Reality]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/984/A-Simulator-for-Human-Robot-Interaction-in-Virtual-Reality</link>
  <description><![CDATA[We present a suite of tools to model a robot, its sensors, and the surrounding environment in VR, with the goal of collecting training data for real-world robots. The virtual robot observes a rigged avatar created in our photogrammetry facility and embodying a VR user.  We are particularly interested in verbal human/robot interactions, which can be combined with the robot’s sensor data for grounded language learning. Because virtual scenes, tasks, and robots are easily reconfigured compared...]]></description>
  <dc:date>2021-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/985/Towards-Making-Virtual-Human-Robot-Interaction-a-Reality">
  <title><![CDATA[Towards Making Virtual Human-Robot Interaction a Reality]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/985/Towards-Making-Virtual-Human-Robot-Interaction-a-Reality</link>
  <description><![CDATA[For robots deployed in human-centric spaces, natural language promises an intuitive, natural interface. However, obtaining appropriate training data for grounded language in a variety of settings is a significant barrier. In this work, we describe using human-robot interactions in virtual reality to train a robot, combining fully simulated sensing and actuation with human interaction. We present the architecture of our simulator and our grounded language learning approach, then describe our i...]]></description>
  <dc:date>2021-03-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning">
  <title><![CDATA[Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning</link>
  <description><![CDATA[Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is a major area of research in robotics, NLP, and HCI. In practice, the data used for learning consists almost entirely of textual descriptions, which tend to be cleaner, clearer, and more grammatical than actual human interactions. In this work, we present the Grounded Language Dataset (GoLD), a multimodal dataset of common household objects described by people using either spoken or w...]]></description>
  <dc:date>2020-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/916/Building-Language-Agnostic-Grounded-Language-Learning-Systems">
  <title><![CDATA[Building Language-Agnostic Grounded Language Learning Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/916/Building-Language-Agnostic-Grounded-Language-Learning-Systems</link>
  <description><![CDATA[Learning the meaning of grounded language—
language that references a robot’s physical environment and
perceptual data—is an important and increasingly widely studied problem in robotics and human-robot interaction. However,
with a few exceptions, research in robotics has focused on
learning groundings for a single natural language pertaining
to rich perceptual data. We present experiments on taking
an existing natural language grounding system designed for
English and applying i...]]></description>
  <dc:date>2019-10-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/900/Learning-from-Human-Robot-Interactions-in-Modeled-Scenes">
  <title><![CDATA[Learning from Human-Robot Interactions in Modeled Scenes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/900/Learning-from-Human-Robot-Interactions-in-Modeled-Scenes</link>
  <description><![CDATA[There is increasing interest in using robots in simulation to understand and improve human-robot interaction (HRI). At the same time, the use of simulated settings to gather training data promises to help address a major data bottleneck in allowing robots to take advantage of powerful machine learning approaches. In this paper, we describe a prototype system that combines the robot operating system (ROS), the simulator Gazebo, and the Unity game engine to create human-robot interaction scenar...]]></description>
  <dc:date>2019-07-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/901/Learning-from-Human-Robot-Interactions-in-Modeled-Scenes">
  <title><![CDATA[Learning from Human-Robot Interactions in Modeled Scenes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/901/Learning-from-Human-Robot-Interactions-in-Modeled-Scenes</link>
  <description><![CDATA[There is increasing interest in using robots in simulation to understand and improve human-robot interaction (HRI). At the same time, the use of simulated settings to gather training data promises to help address a major data bottleneck in allowing robots to take advantage of powerful machine learning approaches. In this paper, we describe a prototype system that combines the robot operating system (ROS), the simulator Gazebo, and the Unity game engine to create human-robot interaction scenar...]]></description>
  <dc:date>2019-07-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/940/Deep-Learning-for-Category-Free-Grounded-Language-Acquisition">
  <title><![CDATA[Deep Learning for Category-Free Grounded Language Acquisition]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/940/Deep-Learning-for-Category-Free-Grounded-Language-Acquisition</link>
  <description><![CDATA[We propose a learning system in which language is grounded in visual percepts without pre-defined category constraints. We present a unified generative method to acquire a shared semantic/visual embedding that enables a more general language grounding acquisition system. We evaluate the efficacy of this learning by predicting the semantics of ground truth objects and comparing the performance with each of a predefined category classifier and a simple logistic regression classifier. Our prelim...]]></description>
  <dc:date>2019-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/525/Real-Time-Path-Planning-for-a-Robotic-Arm">
  <title><![CDATA[Real-Time Path Planning for a Robotic Arm]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/525/Real-Time-Path-Planning-for-a-Robotic-Arm</link>
  <description><![CDATA[With robotics technology, services can be provided to care
for individuals with disabilities. This paper describes an
effort to improve path planning performance for a robotic
arm, resulting in faster user response in real-time. For a
robotic arm, particularly with multiple degrees of freedom,
path planning is computationally expensive. We propose
that it is possible to achieve rapid response times with an
assistive robotic arm by caching frequent arm trajectories
and creating a "roa...]]></description>
  <dc:date>2011-05-25</dc:date>
 </item>
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