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Information-based Reduced Landmark SLAM
(Georgia Institute of Technology, 2015-05)
In this paper, we present an information-based
approach to select a reduced number of landmarks and poses
for a robot to localize itself and simultaneously build an
accurate map. We develop an information theoretic ...
Efficient Hierarchical Graph-Based Segmentation of RGBD Videos
(Georgia Institute of Technology, 2014-06)
We present an efficient and scalable algorithm for segmenting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical
graph-based approach. Our algorithm processes a moving ...
Bringing Together Human and Robotic Environment Representations – A Pilot Study
(Georgia Institute of Technology, 2006-10)
Human interaction with a service robot requires a
shared representation of the environment for spoken dialogue
and task specification where names used for particular locations
are depending on personal preferences. A ...
Adding diagnostics to intelligent service robots
(Georgia Institute of Technology, 2009-10)
Robot systems are increasing in complexity. Trying
to diagnose a robot that is non-functional or exhibiting suboptimal
performance can be a major challenge. A framework
for plug-n-play addition of diagnostics to modules ...
Slam with expectation maximization for moveable object tracking
(Georgia Institute of Technology, 2010-10)
The goal of simultaneous localization and mapping (SLAM) is to compute the posterior distribution over landmark poses. Typically, this is made possible through the static world assumption - the landmarks remain in the same ...
Feature-based mapping with grounded landmark and place labels
(Georgia Institute of Technology, 2011-06)
Service robots can benefit from maps that support their tasks and facilitate communication with humans. For efficient interaction, it is practical to be able to reference structures and objects in the environment, e.g. ...
Effects of sensory precision on mobile robot localization and mapping
(Georgia Institute of Technology, 2010-12)
This paper will explore the relationship between sensory accuracy and Simultaneous Localization and Mapping (SLAM) performance. As inexpensive robots are developed with commodity components, the relationship between ...
Graphical SLAM for Outdoor Applications
(Georgia Institute of Technology, 2007-02)
Application of SLAM outdoors is challenged by complexity, handling of non-linearities and flexible integration of a diverse set of features. A graphical approach to SLAM is introduced that enables flexible data-association. ...
Predicting Daily Activities From Egocentric Images Using Deep Learning
(Georgia Institute of Technology, 2015)
We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict everyday activities of an individual. We ...
The Confluence of Robotics and Automation for Next Generation Manufacturing
(2014-09-24)
In this presentation we will discuss how hard automation in many cases is getting replaced by flexible automation. The ideal factory is no longer a sequence of fixed processing stations, but a swarm of heterogenous stationary ...