Cited by 94Robotics and Sensor-Based LocalizationReinforcement Learning in RoboticsTarget Tracking and Data Fusion in Sensor Networks

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Active SLAM and Exploration with Particle Filters Using Kullback-Leibler Divergence

Carlone, Luca, Du, Jingjing, Kaouk Ng, Miguel, Bona, Basilio, Indri, Marina·2014·Journal of Intelligent & Robotic Systems

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Research works printed but not linked: 27

  1. Durrant-Whyte, H., Bailey, T.: Simultaneous localisation and mapping (SLAM): part I. The essential algorithms. Robot. Autom. Mag. 13, 99–110 (2006) · DOI · Paper page
  2. Durrant-Whyte, H., Bailey, T.: Simultaneous localisation and mapping (SLAM): part II. State of the art. Robot. Autom. Mag. 13, 108–117 (2006) · DOI · Paper page
  3. Castellanos, J.A., Martinez-Cantin, R., Tardós, J.D., Neira, J.: Robocentric map joining: improving the consistency of EKF-SLAM. Robot. Auton. Syst. 55(1), 21–29 (2007) · DOI
  4. Doucet, A., de Freitas, J., Murphy, K., Russel, S.: Rao-Blackwellized particle filtering for dynamic bayesian networks. In: Proc. of the Conference on Uncertainty in Artificial Intelligence, pp. 176–183 (2000)
  5. Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press (2005)
  6. Martinez-Cantin, R., De Freitas, N., Castellanos, J.: Analysis of particle methods for simultaneous robot localization and mapping and a new algorithm: marginal-SLAM. In: Proc. of the IEEE lnternational Conf. on Robotics and Automation (2007) · DOI
  7. Martinez-Cantin, R., De Freitas, N., Doucet, A., Castellanos, J.A.: Active policy learning for robot planning and exploration under uncertainty. In: Proc. of Robotics: Science and Systems (2007) · DOI
  8. Sim, R., Roy, N.: Global A-optimal robot exploration in SLAM. In: Proc. of the IEEE Int. Conf. on Robotics and Automation, pp. 661–666 (2005) · DOI
  9. Valencia, R., Andrade-Cetto, J., Porta, J.M.: Path planning in belief space with pose SLAM. In: Proc. of the IEEE Int. Conf. on Robotics and Automation, pp. 78–83 (2011) · DOI
  10. Valencia, R., Valls Miró, J., Dissanayake, G., Andrade-Cetto, J.: Active pose SLAM. In: Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems, pp. 1885–1891 (2012) · DOI
  11. Blanco, J.L., Fernandez-Madrigal, J.A., Gonzalez, J.: A novel measure of uncertainty for mobile robot SLAM with Rao-Blackwellized Particle Filters. Int. J. Robot. Res. 27(1), 73–89 (2008) · DOI
  12. Carlone, L., Du, J., Kaouk Ng, M., Bona, B., Indri, M.: An application of Kullback-Leibler divergence to active SLAM and exploration with particle filters. In: Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems, pp. 287–293 (2010) · DOI
  13. Carlone, L., Kaouk Ng, M., Du, J., Bona, B., Indri, M.: Reverse KLD-sampling for measuring uncertainty in Rao-Blackwellized Particle Filters SLAM. In: Proc. of the Workshop on Performance Evaluation and Benchmarking for Next Intelligent Robots and Systems. IEEE-RSJ Int. Conf. on Intelligent Robots and Systems (2009)
  14. Du, J., Carlone, L., Kaouk Ng, M., Bona, B., Indri, M.: A comparative study on active SLAM and autonomous exploration with particle filters. In: Proc. of the IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, pp. 916–923 (2011) · DOI
  15. Kullback, S., Leibler, A.: On information and sufficiency. Ann. Math. Stat. 22, 79–86 (1951) · DOI · Paper page
  16. Stachniss, C., Grisetti, G., Burgard, W.: Information gain-based exploration using Rao-Blackwellized Particle Filters. In: Proc. of Robotics: Science and Systems (2005) · DOI · Paper page
  17. Moravec, H.P.: Sensor fusion in certainty grids for mobile robots. AI Mag. 9(2), 61–74 (1988)
  18. Fox, D., Ko, J., Konolige, K., Limketkai, B., Schulz, D., Stewart, B.: Distributed multirobot exploration and mapping. Proc. IEEE 94(7), 1325–1339 (2006) · DOI · Paper page
  19. Moorehead, S.J., Simmons, R., Whitaker, W.L.: Autonomous exploration using multiple sources of information. In: Proc. of the IEEE Int. Conf. on Robotics and Automation, pp. 3098–3103 (2001) · DOI
  20. Stachniss, C., Hahnel, D., Burgard, W.: Exploration with active loop-closing for FastSLAM. In: Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, pp. 1505–1510 (2004) · DOI
  21. Ko, J., Stewart, B., Fox, D., Konolige, K., Limketkai, B.: A practical decision-theoretic approach to multirobot mapping and exploration. In: Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robotics and Systems, pp. 3232–3238 (2003) · DOI
  22. Stachniss, C., Grisetti, G., Burgard, W.: Analyzing Gaussian proposal distributions for mapping with Rao-Blackwellized Particle Filters. In: Proc. of Int. Conf. on Intelligent Robots and Systems, pp. 3485–3490 (2007) · DOI
  23. Arulampalam, S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filter for on-line nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 2(50), 174–188 (2002) · DOI
  24. Fox, D.: Adapting the sample size in particle filters through KLD-sampling. Int. J. Robot. Res. 22(12), 985–1003 (2003) · DOI
  25. Carpin, S.: Fast and accurate map merging for multi-robot systems. Auton. Robot. 25(3), 305–316 (2008) · DOI
  26. Howard, A.: Multi-robot simultaneous localization and mapping using particle filters. In: Proc. of Robotics: Science and Systems, pp. 201–208 (2006) · DOI
  27. Roy, N., Burgard, W., Fox, D., Thrun, S.: Coastal navigation: mobile robot navigation with uncertainty in dynamic environments. In: Proc. of Int. Conf. on Robotics and Automation, pp. 35–40 (1999) · DOI

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Metadata

Authors
Carlone, L., Du, J., Kaouk Ng, M., Bona, B., & Indri, M.
Affiliations
Politecnico di Torino (IT)
Corresponding author
Carlone, Luca
Venue
Journal of Intelligent & Robotic Systems
Published
2013-10-13
Volume
75
Issue
2
Pages
291-311
ISSN
  • 0921-0296 (ISSN-L)
  • 1573-0409
OpenAlex
W1972624884
Cited by
94
References
4
Citations by year
2026: 2 · 2025: 6 · 2024: 8 · 2023: 13 · 2022: 9 · 2021: 14 · 2020: 9 · 2019: 6 · 2018: 10 · 2017: 5 · 2016: 4 · 2015: 7 · 2014: 1
FWCI
6.43
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Intelligent & Robotic Systems (publishedVersion)
  • PORTO@Iris (submittedVersion)
  • PORTO Publications Open Repository TOrino (Politecnico di Torino) (submittedVersion)
Funders
  • Else Kröner-Fresenius-Stiftung
  • Ministero dell'Università e della Ricerca
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
  • Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
Keywords
active SLAM, robot exploration, Rao-Blackwellized particle filter, Kullback-Leibler divergence, expected information gain, loop closure, autonomous navigation, mobile robots, indoor environment

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