Part B | 22
514 Part B Autonomous Ocean Vehicles, Subsystems and Control
22.21 R. He, A. Bachrach, N. Roy: Efficient planning under uncertainty for a target-tracking micro-aerial
vehicle, Proc. IEEE ICRA’10 (2010) pp. 1–8
22.22 A. Ghafforkha, Y. Mostifi: Path planning for networked robotic surveillance, IEEE Trans. Signal Process. 60(7), 3560–3575 (2012)
22.23 D. Koller, B. Milch: Multi-agent influence diagrams
for representing and solving games, Proc. 17th Int.
Jt. Conf. Artif. Intell. (IJCAI) (2001) pp. 1027–1034
22.24 W. Yeoh, A. Kumar, S. Zilberstein: Automated generation of interaction graphs for value-factored
decentralized POMDPs, Proc. Int. Jt. Conf. Artif. Intell. (IJCAI) (2013) pp. 411–417
22.25 S.S. Nestinger, M.A. Demetriou: Adaptive collaborative estimation of multi-agent mobile robotic
systems, Proc. IEEE ICRA’12 (2012) pp. 1856–1861
22.26 S.A. Miller, Z.A. Harris, E.K.P. Chong: A POMDP
framework for coordinated guidance of autonomous UAVs for multitarget tracking, EURASIP
J. Adv. Signal Process. 2009, 724597 (2009)
22.27 S. Seuken, S. Zilberstein: Formal models and algorithms for decentralized decision making under
uncertaintly, Auton. Agent Multi-Agent Syst. 17(2),
190–250 (2008)
22.28 S.J. Witwicki, E.H. Durfee: Flexible approximation
of structured interactions in decentralized markov
decision processes, Proc. AAMAS 2, 1251–1252 (2009)
22.29 F. Oliehoek: The multi agent decision process toolbox (2015) http://www.fransoliehoek.net/
index.php?fuseaction=software.madp
22.30 G. Gottlob, G. Greco, T. Mancini: Complexity of pure
equilibria in Bayesian games, Proc. Int. Jt. Conf. Artif. Intell. (IJCAI) (2007) pp. 1294–1299
22.31 R.R. Brooks: Sensor network self-organization using random graphs, Int. J. Distrib. Sens. Netw. 5,
201–208 (2009)
22.32 M. Zhu, R.R. Brooks: Comparison of Petri net and
finite state machine discrete event control of distributed surveillance networks, Int. J. Distrib. Sens.
Netw. 5, 480–501 (2009)
22.33 B. Lindley, L. Mier-y-Teran-Romero, I.B. Schwartz:
Randomly distributed delayed communication and
coherent swarm patterns, Proc. IEEE ICRA’12 (2012)
pp. 4260–4265
22.34 D. Koller, N. Friedman: Probabilistic Graphical
Models: Principles and Techniques (MIT, Cambridge
2009)
22.35 Y. Gal, A. Pfeffer: Networks of influence diagrams: A
formalism for representing agents beliefs and decision-making processes, J. Artif. Intell. Res. 33,
109–147 (2008)
22.36 A. Pfeffer, S. Das, D. Lawless, B. Ng: Factored reasoning for monitoring team and goal formation,
Inform. Fus. 10, 99–106 (2009)
22.37 Y. Gal, B. Grosz, S. Kraus, A. Pfeffer, S. Shieber: Agent
decision-making in open mixed networks, Artif.
Intell. 174(18), 1460–1480 (2010)
22.38 V. Indelman, P. Gurfil, E. Rivlin, H. Rotstein:
Graph-based distributed cooperative navigation
for a general multi-robot measurement model, Int.
J. Robotics Res. 31(9), 1057–1080 (2012)
22.39 F. Ehlers: Particle filter for information management in an autonomously operating activated
distributed sensor network, OCEANS 2007-Europe
(2007) pp. 1–6
22.40 P. Dames, V. Kumar: Technical report: Cooperative
multi-target localization with noisy sensors, Proc.
IEEE ICRA’13 (2013) pp. 1877–1883
22.41 N. Kantas, S.S. Singh, A. Doucet: Distributed maximum likelihood for simultaneous self-localization
and tracking in sensor networks, IEEE Trans. Signal
Process. 60, 5038–5047 (2012)
22.42 C. Reinl: Trajektorien- und Aufgabenplanung
kooperierender Fahrzeuge: Diskret-kontinuierliche
Modellierung und Optimierung, Ph.D. Thesis (TU
Darmstadt, Darmstadt 2010)
22.43 D.J. Molinares: A Data Link Layer in Support of
Swarming of Autonomous Underwater Vehicles,
Ph.D. Thesis (University of South Florida, Tampa
2009)
22.44 P. Dames, M. Schwager, V. Kumar, D. Rus: A decentralized control policy for adaptive information
gathering in hazardous environments, Proc. 51st
CDC (2012) pp. 2807–2813
22.45 B.J. Julian, M. Angermann, M. Schwager, D. Rus:
A scalable information theoretic approach to distributed robot coordination, Proc. IROS’11 (2011)
pp. 5187–5194
22.46 W. Ren, R.W. Beard: Distributed Consensus in Multivehicle Cooperative Control, Communications and
Control Engineering Series (Springer, London 2008)
22.47 L. Kester: Interactive collaborative information systems, Method for designing networking adaptive
interactive hybrid systems, Stud. Comput. Intell.
281, 401–421 (2010)
22.48 T.H. Chung, G.A. Hollinger, V. Isler: Search and pursuit-evasion in mobile robotics. A survey, Auton.
Robots 31(4), 299–316 (2011)
22.49 B. Schmidt, L. Newman: MOOS nested autonomy for
unmanned marine vehicles with MOOS-IvP, J. Field
Robotics, J. Field Robotics 27(6), 834–875 (2010)
22.50 A. Kimmel, A. Dobson, Z. Littlefield, A. Krontiris,
J.D. Marble, K.E. Bekris: Pracsys: An extensible architecture for composing motion controllers and
planners, Lect. Notes. Comput. Sci. 7628, 137–148
(2012)
22.51 D.T. Cole: A Cooperative UAS Architecture for
Information-Theoretic Search and Track, Ph.D. Thesis (University of Sydney, Sydney 2009)
22.52 B. Jung: Cooperative Target Tracking Using Mobile
Robots, Ph.D. Thesis (University of Southern California, Los Angeles 2005)
22.53 J. Fuemmeler, V.V. Veeravalli: Smart sleeping policies for energy-efficient tracking in sensor networks. In: Networked Sensing Information and
Control, ed. by V. Saligrama (Springer, New York
2008) pp. 267–287
22.54 S. Coraluppi: Multistatic Sonar Localization, IEEE JOE
31(4), 964–974 (2006)
22.55 S. Coraluppi, C. Carthel: Distributed tracking in
multistatic sonar, IEEE Trans. Aerosp. Electron. Syst.
41(3), 1138–1147 (2005)
514 Part B Autonomous Ocean Vehicles, Subsystems and Control
22.21 R. He, A. Bachrach, N. Roy: Efficient planning under uncertainty for a target-tracking micro-aerial
vehicle, Proc. IEEE ICRA’10 (2010) pp. 1–8
22.22 A. Ghafforkha, Y. Mostifi: Path planning for networked robotic surveillance, IEEE Trans. Signal Process. 60(7), 3560–3575 (2012)
22.23 D. Koller, B. Milch: Multi-agent influence diagrams
for representing and solving games, Proc. 17th Int.
Jt. Conf. Artif. Intell. (IJCAI) (2001) pp. 1027–1034
22.24 W. Yeoh, A. Kumar, S. Zilberstein: Automated generation of interaction graphs for value-factored
decentralized POMDPs, Proc. Int. Jt. Conf. Artif. Intell. (IJCAI) (2013) pp. 411–417
22.25 S.S. Nestinger, M.A. Demetriou: Adaptive collaborative estimation of multi-agent mobile robotic
systems, Proc. IEEE ICRA’12 (2012) pp. 1856–1861
22.26 S.A. Miller, Z.A. Harris, E.K.P. Chong: A POMDP
framework for coordinated guidance of autonomous UAVs for multitarget tracking, EURASIP
J. Adv. Signal Process. 2009, 724597 (2009)
22.27 S. Seuken, S. Zilberstein: Formal models and algorithms for decentralized decision making under
uncertaintly, Auton. Agent Multi-Agent Syst. 17(2),
190–250 (2008)
22.28 S.J. Witwicki, E.H. Durfee: Flexible approximation
of structured interactions in decentralized markov
decision processes, Proc. AAMAS 2, 1251–1252 (2009)
22.29 F. Oliehoek: The multi agent decision process toolbox (2015) http://www.fransoliehoek.net/
index.php?fuseaction=software.madp
22.30 G. Gottlob, G. Greco, T. Mancini: Complexity of pure
equilibria in Bayesian games, Proc. Int. Jt. Conf. Artif. Intell. (IJCAI) (2007) pp. 1294–1299
22.31 R.R. Brooks: Sensor network self-organization using random graphs, Int. J. Distrib. Sens. Netw. 5,
201–208 (2009)
22.32 M. Zhu, R.R. Brooks: Comparison of Petri net and
finite state machine discrete event control of distributed surveillance networks, Int. J. Distrib. Sens.
Netw. 5, 480–501 (2009)
22.33 B. Lindley, L. Mier-y-Teran-Romero, I.B. Schwartz:
Randomly distributed delayed communication and
coherent swarm patterns, Proc. IEEE ICRA’12 (2012)
pp. 4260–4265
22.34 D. Koller, N. Friedman: Probabilistic Graphical
Models: Principles and Techniques (MIT, Cambridge
2009)
22.35 Y. Gal, A. Pfeffer: Networks of influence diagrams: A
formalism for representing agents beliefs and decision-making processes, J. Artif. Intell. Res. 33,
109–147 (2008)
22.36 A. Pfeffer, S. Das, D. Lawless, B. Ng: Factored reasoning for monitoring team and goal formation,
Inform. Fus. 10, 99–106 (2009)
22.37 Y. Gal, B. Grosz, S. Kraus, A. Pfeffer, S. Shieber: Agent
decision-making in open mixed networks, Artif.
Intell. 174(18), 1460–1480 (2010)
22.38 V. Indelman, P. Gurfil, E. Rivlin, H. Rotstein:
Graph-based distributed cooperative navigation
for a general multi-robot measurement model, Int.
J. Robotics Res. 31(9), 1057–1080 (2012)
22.39 F. Ehlers: Particle filter for information management in an autonomously operating activated
distributed sensor network, OCEANS 2007-Europe
(2007) pp. 1–6
22.40 P. Dames, V. Kumar: Technical report: Cooperative
multi-target localization with noisy sensors, Proc.
IEEE ICRA’13 (2013) pp. 1877–1883
22.41 N. Kantas, S.S. Singh, A. Doucet: Distributed maximum likelihood for simultaneous self-localization
and tracking in sensor networks, IEEE Trans. Signal
Process. 60, 5038–5047 (2012)
22.42 C. Reinl: Trajektorien- und Aufgabenplanung
kooperierender Fahrzeuge: Diskret-kontinuierliche
Modellierung und Optimierung, Ph.D. Thesis (TU
Darmstadt, Darmstadt 2010)
22.43 D.J. Molinares: A Data Link Layer in Support of
Swarming of Autonomous Underwater Vehicles,
Ph.D. Thesis (University of South Florida, Tampa
2009)
22.44 P. Dames, M. Schwager, V. Kumar, D. Rus: A decentralized control policy for adaptive information
gathering in hazardous environments, Proc. 51st
CDC (2012) pp. 2807–2813
22.45 B.J. Julian, M. Angermann, M. Schwager, D. Rus:
A scalable information theoretic approach to distributed robot coordination, Proc. IROS’11 (2011)
pp. 5187–5194
22.46 W. Ren, R.W. Beard: Distributed Consensus in Multivehicle Cooperative Control, Communications and
Control Engineering Series (Springer, London 2008)
22.47 L. Kester: Interactive collaborative information systems, Method for designing networking adaptive
interactive hybrid systems, Stud. Comput. Intell.
281, 401–421 (2010)
22.48 T.H. Chung, G.A. Hollinger, V. Isler: Search and pursuit-evasion in mobile robotics. A survey, Auton.
Robots 31(4), 299–316 (2011)
22.49 B. Schmidt, L. Newman: MOOS nested autonomy for
unmanned marine vehicles with MOOS-IvP, J. Field
Robotics, J. Field Robotics 27(6), 834–875 (2010)
22.50 A. Kimmel, A. Dobson, Z. Littlefield, A. Krontiris,
J.D. Marble, K.E. Bekris: Pracsys: An extensible architecture for composing motion controllers and
planners, Lect. Notes. Comput. Sci. 7628, 137–148
(2012)
22.51 D.T. Cole: A Cooperative UAS Architecture for
Information-Theoretic Search and Track, Ph.D. Thesis (University of Sydney, Sydney 2009)
22.52 B. Jung: Cooperative Target Tracking Using Mobile
Robots, Ph.D. Thesis (University of Southern California, Los Angeles 2005)
22.53 J. Fuemmeler, V.V. Veeravalli: Smart sleeping policies for energy-efficient tracking in sensor networks. In: Networked Sensing Information and
Control, ed. by V. Saligrama (Springer, New York
2008) pp. 267–287
22.54 S. Coraluppi: Multistatic Sonar Localization, IEEE JOE
31(4), 964–974 (2006)
22.55 S. Coraluppi, C. Carthel: Distributed tracking in
multistatic sonar, IEEE Trans. Aerosp. Electron. Syst.
41(3), 1138–1147 (2005)