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% This file was created with JabRef 2.8.1.
% Encoding: UTF-8
@ARTICLE{Elfring2014a,
author = {Elfring, J. and Van de Molengraft, R. and Steinbuch, M.},
title = {Semi-task-dependent and uncertainty-driven world model maintenance},
journal = {Autonomous Robots},
year = {2014},
volume = {38},
pages = {1--15},
number = {1},
abstract = {Nearly every task a domestic robot could potentially solve requires
a description of the robot's environment which we call a world model.
One problem underexposed in the literature is the maintenance of
world models. Rather than on creating a world model, this work focuses
on finding a strategy that determines when to update which object
in the world model. The decision whether or not to update an object
is based on the expected information gain obtained by the update,
the action cost of the update and the task the robot performs. The
proposed strategy is validated during both simulations and real world
experiments. The extended series of simulations is performed to show
both the performance gain with respect to a benchmark strategy and
the effect of the various parameters. The experiments show the proposed
approach on different set-ups and in different environments.},
address = {Eindhoven University of TechnologyEindhoven, Netherlands},
booktitle = {Autonomous Robots},
keywords = {Information gain, Task dependency, World model verification},
owner = {JLunenburg},
timestamp = {2015.02.11}
}
@INPROCEEDINGS{Coenen2014,
author = {Coenen, S.A.M. and Lunenburg, J.J.M. and van de Molengraft, M.J.G.
and Steinbuch, M.},
title = {A Representation Method Based on the Probability of Collision for
Safe Robot Navigation in Domestic Environments},
booktitle = {Proc. IEEE/RSJ Int. Conf. on Intelligent
Robots and Systems},
year = {2014},
abstract = {This paper introduces a three-dimensional volumetric representation
for safe navigation. It is based on a representation framework that
probabilistically fuses sensor measurements to represent the occupancy
probability of volumes. To achieve safe navigation in a domestic
environment this representation is extended with a model of the occupancy
probability if no sensor measurements are received and a model to
deal with unpredictably moving obstacles that can arise from behind
occlusions by always expecting obstacles to appear on the robots
path. By combining the occupancy probability of volumes with the
position uncertainty of the robot, a probability of collision is
obtained. It is shown that by relating this probability to a safe
velocity limit a robot in a real domestic environment can move close
to a certain maximum velocity but decides to attain a slower safe
velocity limit when it must, analogous to velocity limits and warning
signs in traffic.},
owner = {JLunenburg},
timestamp = {2013.12.20}
}
@INPROCEEDINGS{Janssen2013,
author = {Janssen, R. and van Meijl, E. and Di Marco, D. and Van De Molengraft,
R. and Steinbuch, M.},
title = {Integrating planning and execution for ROS enabled service robots
using hierarchical action representations},
booktitle = {16th Int. Conf. on Advanced Robotics},
year = {2013},
pages = {1--7},
abstract = {The aim of the RoboEarth project is to develop a globally accessible
database, that enables service robots to share reusable information
relevant to the execution of their daily tasks. Examples of this
information are the hierarchical task descriptions, or action recipes,
that represent typical household tasks as symbolic action sequences.
By annotating these static action representations with hierarchical
planner predicates, they can be interpreted by a Hierarchical Task
Network planner such as SHOP2 to compose optimized robot plans in
a flexible manner, based on the actual state of the environment and
the available capabilities of the robot. To subsequently execute
these plans in a household environment, the CRAM executive toolbox
is adopted, allowing a tight integration between plan execution and
the run-time inference of dynamically updated environment knowledge.
This paper presents the integration of these two planning and execution
components into one cohesive framework, tailored for the safe execution
of abstract tasks in challenging household environments. The resulting
framework is implemented on the AMIGO service robot and a basic experiment
is conducted to demonstrate the frameworks integral functionality.},
file = {:G\:\\PhD Project\\Research Papers\\Conference Papers\\Janssen_2013.pdf:PDF},
keywords = {control engineering computing, humanoid robots, path planning, service
robots, AMIGO service robot, CRAM executive toolbox, ROS, RoboEarth
project, SHOP2, cognitive robot abstract machine, globally accessible
database, hierarchical action representation, hierarchical planner
predicate, hierarchical task description, hierarchical task network
planner, household task, static action representation, symbolic action
sequences, Computer architecture, Databases, Navigation, Planning,
Process control, Service robots},
owner = {JLunenburg},
timestamp = {2015.02.12}
}
@BOOK{LAT1990,
title = {Robot motion planning},
publisher = {Springer},
year = {1990},
author = {{Jean-Claude} Latombe},
month = dec,
keywords = {Computers / Computer Graphics, Computers / Computer Vision \& Pattern
Recognition, Computers / Intelligence {(AI)} \& Semantics, robots,
Robots Motion, Robots - Motion, Technology \& Engineering / Automation,
Technology \& Engineering / Electrical, Technology \& Engineering
/ Electronics / General, Technology \& Engineering / Engineering
{(General)}, Technology \& Engineering / Robotics}
}
@ARTICLE{Blackman2004,
author = {Samuel S. Blackman},
title = {Multiple Hypothesis Tracking For Multiple Target Tracking},
journal = {IEEE Aerospace and Electronic Systems Magazine},
year = {2004},
volume = {19},
pages = {5--18},
number = {1},
month = {January},
abstract = {Multiple hypothesis tracking (MHT) is generally accepted as the preferred
method for solving the data association problem in modem multiple
target tracking (MTT) systems. This paper summarizes the motivations
for MHT, the basic principles behind
MHT and the alternative implementations in common use. It discusses
the manner in which the multiple data association hypotheses formed
by MHT can be combined with multiple filter models, such as used
by the interacting multiple model (IMM)
method. An overview of the studies that show the advantages of MHT
over the conventional single hypothesis approach is given. Important
current applications and areas of future research and development
for MHT are discussed.}
}
@ARTICLE{Coradeschi2003,
author = {Silvia Coradeschi and Alessandro Saffiotti},
title = {An Introduction to the Anchoring Problem},
journal = {Robotics and Autonomous Systems},
year = {2003},
volume = {43},
pages = {85--96},
number = {2--3}
}
@ARTICLE{Cox1996,
author = {Ingemar J. Cox and Sunita L. Hingorani},
title = {An Efficient Implementation and Evaluation of Reid's Multiple Hypothesis
Tracking Algorithm for Visual Tracking},
journal = {IEEE Transaction on Pattern Analysis and Machine Intelligence},
year = {1996},
volume = {18},
pages = {138--150},
number = {2},
month = {February},
booktitle = {IEEE Transactions on Pattern Analysis and Machine Intelligence}
}
@ARTICLE{Daoutis2012,
author = {Marios Daoutis and Silvia Coradeschi and Amy Loutfi},
title = {Cooperative Knowledge Based Perceptual Anchoring},
journal = {International Journal on Artificial Intelligence Tools},
year = {2012},
volume = {21},
pages = {1250012},
number = {03},
doi = {10.1142/S0218213012500121}
}
@ARTICLE{Elfring2013,
author = {J. Elfring and S. van den Dries and M.J.G. van de Molengraft and
M. Steinbuch},
title = {Semantic world modeling using probabilistic multiple hypothesis anchoring},
journal = {Robotics and Autonomous Systems},
year = {2013},
volume = {61},
pages = {95 - 105},
number = {2},
doi = {10.1016/j.robot.2012.11.005},
issn = {0921-8890},
keywords = {Data association}
}
@ARTICLE{Reid1979,
author = {Donald B. Reid},
title = {An Algorithm for Tracking Multiple Targets},
journal = {IEEE Transactions on Automatic Control},
year = {1979},
volume = {AC-24},
pages = {843--854},
number = {6},
month = {December}
}
@INPROCEEDINGS{Rusu2010,
author = {Radu Bogdan Rusu and Gary Bradski and Romain Thibaux and John Hsu},
title = {Fast 3D Recognition and Pose Using the Viewpoint Feature Histogram},
booktitle = {Proceedings of the 23rd IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS)},
year = {2010},
pages = {2155--2162}
}
@inproceedings{Pangercic2011,
author = {Dejan Pangercic and Vladimir Haltakov and Michael Beetz},
title = {Fast and Robust Object Detection in Household Environments Using Vocabulary Trees with SIFT Descriptors},
booktitle = {IEEE/RSJ Int. Conf. on Intelligent Robots and Systems},
notes = {Workshop on Active Semantic Perception and Object Search in the Real World},
month = {September, 25--30},
year = {2011},
address = {San Francisco, CA, USA},
bib2html_pubtype = {Workshop Paper},
bib2html_groups = {CoP},
bib2html_funding = {CoTeSys},
bib2html_rescat = {Perception},
bib2html_domain = {Assistive Household},
}
@inproceedings{mozos2009,
title = {Multi-Layer People Detection Using {2D} Range Data},
author = {Oscar Martinez Mozos and Ryo Kurazume and Tsutomu Hasegawa},
booktitle = {Proceedings of the ICRA 2009 Workshop: People Detection and Tracking},
year = {2009},
month = {May},
address = {Kobe, Japan}
}
@INPROCEEDINGS{Hinterstoisser2011,
author={Hinterstoisser, S. and Holzer, S. and Cagniart, C. and Ilic, S. and Konolige, K. and Navab, N. and Lepetit, V.},
booktitle={Computer Vision (ICCV), 2011 IEEE International Conference on}, title={Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes},
year={2011},
month={nov.},
volume={},
number={},
pages={858 -865},
keywords={Robustness;computer graphics;object detection;real-time systems;3D object detection;cluttered scenes;complementary object information;dense depth map;multimodal templates;multimodalities;real-time detection;texture-less objects;},
doi={10.1109/ICCV.2011.6126326},
ISSN={1550-5499}
}
@article{TDP2013,
author={Lunenburg, J.J.M. and Coenen, S.A.M. and van den Dries, S. and Elfring, J. and Janssen, R.J.M. and Sandee, J.H. and van de Molengraft, M.J.G.},
title={Tech {U}nited {E}indhoven Team Description},
JOURNAL = {RoboCup 2013},
year = {2013}
}
@article{TDP2014,
author={Lunenburg, J.J.M. and Coenen, S.A.M. and Derksen, T.T.J. and van den Dries, S. and Elfring, J. and van de Molengraft, M.J.G.},
title={Tech {U}nited {E}indhoven Team Description},
JOURNAL = {RoboCup 2014},
year = {2014}
}
@article{HOR2013,
title={OctoMap: an efficient probabilistic 3D mapping framework based on octrees},
author={Hornung, A. and Wurm, K.M. and Bennewitz, M. and Stachniss, C. and Burgard, W.},
Journal={Autonomous Robots},
pages={1--18},
year={2013},
publisher={Springer}
}
@inproceedings{ALA2002,
title={On the influence of sensor capacities and environment dynamics onto collision-free motion plans},
author={Alami, Rachid and Sim{\'e}on, Thierry and Madhava Krishna, K},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
volume={3},
pages={2395--2400},
year={2002},
organization={IEEE}
}
@MASTERSTHESIS{Alaerds2010,
author = {Alaerds, R.J.G.},
title = {Mechanical Design Of The Next Generation \mbox{Tech United} \mbox{TURTLE}},
school = {Eindhoven University of Technology},
year = {2010},
file = {:G\:\\PhD Project\\Research Papers\\Master Theses\\Alaerds_2010.pdf:PDF},
owner = {JLunenburg},
timestamp = {2010.11.05}
}
@article {Behnisch10,
title = {Task Space Motion Planning Using Reactive Control},
journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2010},
keywords = {CoR-Lab Publication},
author = {M. Behnisch and R. Haschke and M. Gienger}
}
@INPROCEEDINGS{Bruyninckx2001,
author = {Bruyninckx, H.},
title = {Open Robot Control Software: the OROCOS project},
booktitle = {Proceedings of the 2001 IEEE International Conference on Robotics
\& Automation},
year = {2001},
file = {:G\:\\PhD Project\\Research Papers\\Conference Papers\\Bruyninckx_2001.pdf:PDF},
owner = {JLunenburg},
timestamp = {2011.02.04}
}
@ARTICLE{Fox1997,
author = {Fox, D. and Burgard, W. and Thrun, S.},
title = {The dynamic window approach to collision avoidance},
journal = {IEEE Magazine on Robotics \& Automation},
year = {1997},
volume = {4},
pages = {23--33},
number = {1},
abstract = {This approach, designed for mobile robots equipped with synchro-drives,
is derived directly from the motion dynamics of the robot. In experiments,
the dynamic window approach safely controlled the mobile robot RHINO
at speeds of up to 95 cm/sec, in populated and dynamic environments},
booktitle = {Robotics \& Automation Magazine, IEEE},
file = {:G\:\\PhD Project\\Research Papers\\Journal Articles\\Fox_1997.pdf:PDF},
issn = {1070-9932},
keywords = {mobile robots, position control, synchros, 0.95 m/s, RHINO, collision
avoidance, dynamic window approach, mobile robots, motion dynamics,
synchro-drives},
owner = {JLunenburg},
timestamp = {2011.02.08}
}
@ARTICLE{Fox2003,
author = {Fox, D.},
title = {Adapting the sample size in particle filters through KLD-sampling},
journal = {The International Journal of Robotics Research},
year = {2003},
volume = {22},
pages = {985--1003},
number = {12}
}
@book{CLH05,
author = "H. Choset and K.M. Lynch and S. Hutchinson and G.A. Kantor and W. Burgard and L.E. Kavraki and S. Thrun",
title = "Principles of Robot Motion: Theory, Algorithms, and Implementations",
booktitle = "Principles of Robot Motion: Theory, Algorithms, and Implementations",
publisher = "MIT Press",
address = "Cambridge, MA",
month = "June",
year = "2005",
Notes = "ISBN 0-262-03327-5"
}
@article{Dietrich12,
author = {A. Dietrich and
T. Wimb{\"o}ck and
A. Albu-Sch{\"a}ffer and
G. Hirzinger},
title = {Reactive Whole-Body Control: Dynamic Mobile Manipulation
Using a Large Number of Actuated Degrees of Freedom},
journal = {IEEE Robotics Automation Magazine},
volume = {19},
number = {2},
year = {2012},
pages = {20-33},
ee = {http://dx.doi.org/10.1109/MRA.2012.2191432},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@article{Simeon00,
author = {J-P. Laumond and C. Nissoux},
title = {Visibility-based probabilistic roadmaps for motion planning},
journal = {Journal of Advanced Robotics},
year = {2000},
volume = {14},
pages = {2000}
}
@INPROCEEDINGS{Quigley2009,
author = {Morgan Quigley and Ken Conley and Brian P. Gerkey and Josh Faust
and Tully Foote and Jeremy Leibs and Rob Wheeler and Andrew Y. Ng},
title = {\mbox{ROS}: an open-source Robot Operating System},
booktitle = {ICRA Workshop on Open Source Software},
year = {2009},
file = {:G\:\\PhD Project\\Research Papers\\Conference Papers\\Quigley_2009.pdf:PDF},
owner = {JLunenburg},
timestamp = {2011.02.02}
}
@inproceedings{Toussaint07,
author = {M. Toussaint and
M. Gienger and
C. Goerick},
title = {Optimization of sequential attractor-based movement for
compact behaviour generation},
booktitle = {Humanoids},
year = {2007},
pages = {122-129},
ee = {http://dx.doi.org/10.1109/ICHR.2007.4813858},
crossref = {DBLP:conf/humanoids/2007},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@article{Brock10,
Title = {Elastic roadmaps - motion generation for autonomous mobile manipulation},
Author = {Y. Yang and O. Brock},
journal = {Autonomous Robots},
Pages = {113-130},
Year = {2010},
Issn = {0929-5593(Print) 1573-7527 (Online)},
Doi = {10.1007/s10514-009-9151-x},
Volume = {28},
Number = {1},
Month = {Januar}
}
@MASTERSTHESIS{DeJager2013,
author = {De Jager, T.L.},
title = {Robust object detection for service robotics},
school = {Utrecht University},
year = {2013},
owner = {JLunenburg},
timestamp = {2014.01.07},
}
@ARTICLE{Elfring201395,
author={Elfring, J. and Van Den Dries, S. and Van De Molengraft, M.J.G. and Steinbuch, M.},
title={Semantic world modeling using probabilistic multiple hypothesis anchoring},
journal={Robotics and Autonomous Systems},
year={2013},
volume={61},
number={2},
pages={95-105},
document_type={Article},
source={Scopus},
}