{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T04:00:01Z","timestamp":1774497601251,"version":"3.50.1"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001824","name":"Grantov\u00e1 Agentura Cesk\u00e9 Republiky","doi-asserted-by":"publisher","award":["18-18858S"],"award-info":[{"award-number":["18-18858S"]}],"id":[{"id":"10.13039\/501100001824","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001824","name":"Grantov\u00e1 Agentura Cesk\u00e9 Republiky","doi-asserted-by":"publisher","award":["19-20238S"],"award-info":[{"award-number":["19-20238S"]}],"id":[{"id":"10.13039\/501100001824","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Auton Robot"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10514-022-10075-4","type":"journal-article","created":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T17:18:26Z","timestamp":1669310306000},"page":"161-180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Autonomous exploration with online learning of traversable yet visually rigid obstacles"],"prefix":"10.1007","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8213-893X","authenticated-orcid":false,"given":"Milo\u0161","family":"Pr\u00e1gr","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1190-1085","authenticated-orcid":false,"given":"Jan","family":"Bayer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6193-0792","authenticated-orcid":false,"given":"Jan","family":"Faigl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,24]]},"reference":[{"issue":"3\u20134","key":"10075_CR1","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1007\/s10846-015-0184-4","volume":"80","author":"J Baleia","year":"2015","unstructured":"Baleia, J., Santana, P., & Barata, J. (2015). On exploiting haptic cues for self-supervised learning of depth-based robot navigation affordances. Journal of Intelligent & Robotic Systems, 80(3\u20134), 455\u2013474. https:\/\/doi.org\/10.1007\/s10846-015-0184-4.","journal-title":"Journal of Intelligent & Robotic Systems"},{"key":"10075_CR2","doi-asserted-by":"publisher","unstructured":"Bayer, J., & Faigl, J. (2019). On autonomous spatial exploration with small hexapod walking robot using tracking camera intel realsense T265. In European conference on mobile robots (ECMR) (pp. 1\u20136). https:\/\/doi.org\/10.1109\/ECMR.2019.8870968","DOI":"10.1109\/ECMR.2019.8870968"},{"key":"10075_CR3","doi-asserted-by":"publisher","unstructured":"Bayer, J., & Faigl, J. (2020). Speeded up elevation map for exploration of large-scale subterranean environments. In 2019 modelling and simulation for autonomous systems (MESAS) (pp. 190\u2013202). https:\/\/doi.org\/10.1007\/978-3-030-43890-6_15","DOI":"10.1007\/978-3-030-43890-6_15"},{"issue":"3","key":"10075_CR4","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1007\/s10846-018-0865-x","volume":"93","author":"D Belter","year":"2019","unstructured":"Belter, D., Wietrzykowski, J., & Skrzypczy\u0144ski, P. (2019). Employing natural terrain semantics in motion planning for a multi-legged robot. Journal of Intelligent & Robotic Systems, 93(3), 723\u2013743. https:\/\/doi.org\/10.1007\/s10846-018-0865-x.","journal-title":"Journal of Intelligent & Robotic Systems"},{"key":"10075_CR5","doi-asserted-by":"publisher","unstructured":"Biber, P., & Duckett, T. (2005). Dynamic maps for long-term operation of mobile service robots. In Robotics: Science and systems (RSS). https:\/\/doi.org\/10.15607\/RSS.2005.I.003","DOI":"10.15607\/RSS.2005.I.003"},{"key":"10075_CR6","doi-asserted-by":"publisher","unstructured":"Bourgault, F., Makarenko, A. A., Williams, S. B., Grocholsky, B., & Durrant-Whyte, H. F. (2002). Information based adaptive robotic exploration. In IEEE\/RSJ international conference on intelligent robots and systems (IROS) (pp. 540\u2013545). https:\/\/doi.org\/10.1109\/IRDS.2002.1041446","DOI":"10.1109\/IRDS.2002.1041446"},{"key":"10075_CR7","doi-asserted-by":"publisher","unstructured":"Bradley, D. M., Chang, J. K., Silver, D., Powers, M., Herman, H., Rander, P., & Stentz, A. (2015). Scene understanding for a high-mobility walking robot. In IEEE\/RSJ international conference on intelligent robots and systems (IROS) (pp. 1144\u20131151). https:\/\/doi.org\/10.1109\/IROS.2015.7353514","DOI":"10.1109\/IROS.2015.7353514"},{"key":"10075_CR8","unstructured":"Brown, D., & Webster, G. (2010). Now a stationary research platform, nasa\u2019s mars rover spirit starts a new chapter in red planet scientific studies. NASA Press Release"},{"key":"10075_CR9","doi-asserted-by":"publisher","unstructured":"Brunner, M., Br\u00fcggemann, B., & Schulz, D. (2013). Rough terrain motion planning for actuated, tracked robots. In International conference on agents and artificial intelligence (ICAART) (pp. 40\u201361). Springer. https:\/\/doi.org\/10.1007\/978-3-662-44440-5_3","DOI":"10.1007\/978-3-662-44440-5_3"},{"issue":"1","key":"10075_CR10","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0004-3702(99)00070-3","volume":"114","author":"W Burgard","year":"1999","unstructured":"Burgard, W., Cremers, A. B., Fox, D., H\u00e4hnel, D., Lakemeyer, G., Schulz, D., et al. (1999). Experiences with an interactive museum tour-guide robot. Artificial Intelligence, 114(1), 3\u201355. https:\/\/doi.org\/10.1016\/S0004-3702(99)00070-3.","journal-title":"Artificial Intelligence"},{"issue":"2","key":"10075_CR11","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s10514-017-9662-9","volume":"42","author":"H Carrillo","year":"2018","unstructured":"Carrillo, H., Dames, P., Kumar, V., & Castellanos, J. A. (2018). Autonomous robotic exploration using a utility function based on R\u00e9nyi\u2019s general theory of entropy. Autonomous Robots, 42(2), 235\u2013256. https:\/\/doi.org\/10.1007\/s10514-017-9662-9.","journal-title":"Autonomous Robots"},{"issue":"2","key":"10075_CR12","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/s10514-018-9796-4","volume":"43","author":"C Cunningham","year":"2019","unstructured":"Cunningham, C., Nesnas, I. A., & Whittaker, W. L. (2019). Improving slip prediction on Mars using thermal inertia measurements. Autonomous Robots, 43(2), 503\u2013521. https:\/\/doi.org\/10.1007\/s10514-018-9796-4.","journal-title":"Autonomous Robots"},{"key":"10075_CR13","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.robot.2019.03.008","volume":"116","author":"J Faigl","year":"2019","unstructured":"Faigl, J., & \u010c\u00ed\u017eek, P. (2019). Adaptive locomotion control of hexapod walking robot for traversing rough terrains with position feedback only. Robotics and Autonomous Systems, 116, 136\u2013147. https:\/\/doi.org\/10.1016\/j.robot.2019.03.008.","journal-title":"Robotics and Autonomous Systems"},{"key":"10075_CR14","doi-asserted-by":"publisher","unstructured":"Faigl, J., & Kulich, M. (2013). On determination of goal candidates in frontier-based multi-robot exploration. In European conference on mobile robots (ECMR) (pp. 210\u2013215). https:\/\/doi.org\/10.1109\/ECMR.2013.6698844","DOI":"10.1109\/ECMR.2013.6698844"},{"key":"10075_CR15","doi-asserted-by":"publisher","unstructured":"Faigl, J., & Kulich, M. (2015). On benchmarking of frontier-based multi-robot exploration strategies. In European conference on mobile robots (ECMR) (pp. 1\u20138). https:\/\/doi.org\/10.1109\/ECMR.2015.7324183","DOI":"10.1109\/ECMR.2015.7324183"},{"key":"10075_CR16","doi-asserted-by":"publisher","unstructured":"Giguere, P., & Dudek, G. (2008). Clustering sensor data for terrain identification using a windowless algorithm. In Robotics: Science and systems (RSS). https:\/\/doi.org\/10.15607\/RSS.2008.IV.004","DOI":"10.15607\/RSS.2008.IV.004"},{"key":"10075_CR17","doi-asserted-by":"publisher","DOI":"10.5772\/6233","author":"J Gu","year":"2008","unstructured":"Gu, J., Cao, Q., & Huang, Y. (2008). Rapid traversability assesment in 2.5 d grid based map on rough terrain. International Journal of Advanced Robotic Systems. https:\/\/doi.org\/10.5772\/6233.","journal-title":"International Journal of Advanced Robotic Systems"},{"key":"10075_CR18","doi-asserted-by":"publisher","unstructured":"Halodov\u00e1, L., Dvo\u0159\u00e1kov\u00e1, E., Majer, F., Vintr, T., Mozos, O. M., Dayoub, F., & Krajn\u00edk, T. (2019). Predictive and adaptive maps for long-term visual navigation in changing environments. In IEEE\/RSJ international conference on intelligent robots and systems (IROS) (pp. 7033\u20137039). https:\/\/doi.org\/10.1109\/IROS40897.2019.8967994","DOI":"10.1109\/IROS40897.2019.8967994"},{"key":"10075_CR19","doi-asserted-by":"publisher","unstructured":"Homberger, T., Bjelonic, M., Kottege, N., & Borges, P. V. K. (2016). Terrain-dependant control of hexapod robots using vision. In International symposium on experimental robotics (ISER) (pp. 92\u2013102). Springer. https:\/\/doi.org\/10.1007\/978-3-319-50115-4_9","DOI":"10.1007\/978-3-319-50115-4_9"},{"key":"10075_CR20","doi-asserted-by":"publisher","unstructured":"Homberger, T., Wellhausen, L., Fankhauser, P., & Hutter, M. (2019). Support surface estimation for legged robots. In IEEE international conference on robotics and automation (ICRA) (pp. 8470\u20138476). https:\/\/doi.org\/10.1109\/ICRA.2019.8793646","DOI":"10.1109\/ICRA.2019.8793646"},{"issue":"2","key":"10075_CR21","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s10514-017-9668-3","volume":"42","author":"MG Jadidi","year":"2018","unstructured":"Jadidi, M. G., Miro, J. V., & Dissanayake, G. (2018). Gaussian processes autonomous mapping and exploration for range-sensing mobile robots. Autonomous Robots, 42(2), 273\u2013290. https:\/\/doi.org\/10.1007\/s10514-017-9668-3.","journal-title":"Autonomous Robots"},{"issue":"2","key":"10075_CR22","doi-asserted-by":"publisher","first-page":"1312","DOI":"10.1109\/LRA.2021.3057023","volume":"6","author":"G Kahn","year":"2021","unstructured":"Kahn, G., Abbeel, P., & Levine, S. (2021). BADGR: An autonomous self-supervised learning-based navigation system. Robotics and Automation Letters, 6(2), 1312\u20131319. https:\/\/doi.org\/10.1109\/LRA.2021.3057023.","journal-title":"Robotics and Automation Letters"},{"issue":"13","key":"10075_CR23","doi-asserted-by":"publisher","first-page":"3663","DOI":"10.3390\/s20133663","volume":"20","author":"V Karolj","year":"2020","unstructured":"Karolj, V., Viseras, A., Merino, L., & Shutin, D. (2020). An integrated strategy for autonomous exploration of spatial processes in unknown environments. Sensors, 20(13), 3663.","journal-title":"Sensors"},{"key":"10075_CR24","doi-asserted-by":"publisher","unstructured":"Kottege, N., Parkinson, C., Moghadam, P., Elfes, A., & Singh, S. P. N. (2015). Energetics-informed hexapod gait transitions across terrains. In IEEE international conference on robotics and automation (ICRA) (pp. 5140\u20135147). https:\/\/doi.org\/10.1109\/ICRA.2015.7139915","DOI":"10.1109\/ICRA.2015.7139915"},{"key":"10075_CR25","doi-asserted-by":"publisher","unstructured":"Kragh, M., J\u00f8rgensen, R. N., & Pedersen, H. (2015). Object detection and terrain classification in agricultural fields using 3D lidar data. In International conference on computer vision systems (ICVS) (pp. 188\u2013197). https:\/\/doi.org\/10.1007\/978-3-319-20904-3_18","DOI":"10.1007\/978-3-319-20904-3_18"},{"issue":"5","key":"10075_CR26","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1002\/rob.21700","volume":"34","author":"P Kr\u00fcsi","year":"2016","unstructured":"Kr\u00fcsi, P., Bosse, M., & Siegwart, R. (2016). Driving on point clouds: Motion planning, trajectory optimization, and terrain assessment in generic nonplanar environments. Journal of Field Robotics, 34(5), 940\u2013984. https:\/\/doi.org\/10.1002\/rob.21700.","journal-title":"Journal of Field Robotics"},{"issue":"10","key":"10075_CR27","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1002\/rob.20134","volume":"23","author":"JF Lalonde","year":"2006","unstructured":"Lalonde, J. F., Vandapel, N., Huber, D. F., & Hebert, M. (2006). Natural terrain classification using three-dimensional ladar data for ground robot mobility. Journal of Field Robotics, 23(10), 839\u2013861. https:\/\/doi.org\/10.1002\/rob.20134.","journal-title":"Journal of Field Robotics"},{"key":"10075_CR28","doi-asserted-by":"publisher","unstructured":"Luo, W., & Sycara, K. (2018). Adaptive sampling and online learning in multi-robot sensor coverage with mixture of Gaussian processes. In IEEE international conference on robotics and automation (ICRA) (pp. 6359\u20136364). https:\/\/doi.org\/10.1109\/ICRA.2018.8460473","DOI":"10.1109\/ICRA.2018.8460473"},{"key":"10075_CR29","doi-asserted-by":"publisher","unstructured":"Makarenko, A. A., Williams, S. B., Bourgault, F., & Durrant-Whyte, H. F. (2002). An experiment in integrated exploration. In IEEE\/RSJ international conference on intelligent robots and systems (IROS) (vol.\u00a01, pp. 534\u2013539). https:\/\/doi.org\/10.1109\/IRDS.2002.1041445","DOI":"10.1109\/IRDS.2002.1041445"},{"key":"10075_CR30","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/0025-5564(68)90090-4","volume":"3","author":"RB McGhee","year":"1968","unstructured":"McGhee, R. B., & Frank, A. A. (1968). On the stability properties of quadruped creeping gaits. Mathematical Biosciences, 3, 331\u2013351. https:\/\/doi.org\/10.1016\/0025-5564(68)90090-4.","journal-title":"Mathematical Biosciences"},{"key":"10075_CR31","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/ROBOT.1985.1087316","volume":"2","author":"H Moravec","year":"1985","unstructured":"Moravec, H., & Elfes, A. (1985). High resolution maps from wide angle sonar. IEEE International Conference on Robotics and Automation (ICRA), 2, 116\u2013121. https:\/\/doi.org\/10.1109\/ROBOT.1985.1087316.","journal-title":"IEEE International Conference on Robotics and Automation (ICRA)"},{"issue":"2","key":"10075_CR32","doi-asserted-by":"publisher","first-page":"2015","DOI":"10.1109\/LRA.2018.2889348","volume":"4","author":"C O\u2019Meadhra","year":"2019","unstructured":"O\u2019Meadhra, C., Tabib, W., & Michael, N. (2019). Variable resolution occupancy mapping using gaussian mixture models. Robotics and Automation Letters, 4(2), 2015\u20132022. https:\/\/doi.org\/10.1109\/LRA.2018.2889348.","journal-title":"Robotics and Automation Letters"},{"issue":"2","key":"10075_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LRA.2016.2525040","volume":"1","author":"K Otsu","year":"2016","unstructured":"Otsu, K., Ono, M., Fuchs, T. J., Baldwin, I., & Kubota, T. (2016). Autonomous terrain classification with co- and self-training approach. Robotics and Automation Letters, 1(2), 1\u20136. https:\/\/doi.org\/10.1109\/LRA.2016.2525040.","journal-title":"Robotics and Automation Letters"},{"issue":"4","key":"10075_CR34","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1016\/j.engappai.2013.01.006","volume":"26","author":"P Papadakis","year":"2013","unstructured":"Papadakis, P. (2013). Terrain traversability analysis methods for unmanned ground vehicles: A survey. Engineering Applications of Artificial Intelligence, 26(4), 1373\u20131385. https:\/\/doi.org\/10.1016\/j.engappai.2013.01.006.","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10075_CR35","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2021.732023","author":"MJ Pearson","year":"2021","unstructured":"Pearson, M. J., Dora, S., Struckmeier, O., Knowles, T. C., Mitchinson, B., Tiwari, K., et al. (2021). Multimodal representation learning for place recognition using deep Hebbian predictive coding. Frontiers in Robotics and AI. https:\/\/doi.org\/10.3389\/frobt.2021.732023.","journal-title":"Frontiers in Robotics and AI"},{"issue":"4","key":"10075_CR36","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.1109\/JSTARS.2015.2409131","volume":"8","author":"Z Petrou","year":"2015","unstructured":"Petrou, Z., Manakos, I., Stathaki, T., M\u00fccher, C., & Adamo, M. (2015). Discrimination of vegetation height categories with passive satellite sensor imagery using texture analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(4), 1442\u20131455. https:\/\/doi.org\/10.1109\/JSTARS.2015.2409131.","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"10075_CR37","doi-asserted-by":"publisher","unstructured":"Pr\u00e1gr, M., \u010c\u00ed\u017eek, P., & Faigl, J. (2018a). Incremental learning of traversability cost for aerial reconnaissance support to ground units. In Modelling and simulation for autonomous systems (MESAS). Springer. https:\/\/doi.org\/10.1007\/978-3-030-14984-0_30","DOI":"10.1007\/978-3-030-14984-0_30"},{"key":"10075_CR38","doi-asserted-by":"publisher","unstructured":"Pr\u00e1gr, M., \u010c\u00ed\u017eek, P., & Faigl, J. (2018b). Cost of transport estimation for legged robot based on terrain features inference from aerial scan. In IEEE\/RSJ international conference on intelligent robots and systems (IROS) (pp. 1745\u20131750). https:\/\/doi.org\/10.1109\/IROS.2018.8593374","DOI":"10.1109\/IROS.2018.8593374"},{"key":"10075_CR39","doi-asserted-by":"publisher","unstructured":"Pr\u00e1gr, M., \u010c\u00ed\u017eek, P., Bayer, J., & Faigl, J. (2019). Online incremental learning of the terrain traversal cost in autonomous exploration. In Robotics: Science and systems (RSS). https:\/\/doi.org\/10.15607\/RSS.2019.XV.040","DOI":"10.15607\/RSS.2019.XV.040"},{"key":"10075_CR40","doi-asserted-by":"publisher","unstructured":"Pr\u00e1gr, M., & Faigl, J. (2019). Benchmarking incremental regressors in traversal cost assessment. In International conference on artificial neural networks (ICANN) (pp. 685\u2013697). https:\/\/doi.org\/10.1007\/978-3-030-30487-4_52","DOI":"10.1007\/978-3-030-30487-4_52"},{"key":"10075_CR41","doi-asserted-by":"publisher","unstructured":"Pr\u00e1gr, M., V\u00e1\u0148a, P., & Faigl, J. (2020). Aerial reconnaissance and ground robot terrain learning in traversal cost assessment. In 2019 modelling and simulation for autonomous systems (MESAS) (pp. 3\u201310). https:\/\/doi.org\/10.1007\/978-3-030-43890-6_1","DOI":"10.1007\/978-3-030-43890-6_1"},{"key":"10075_CR42","unstructured":"Quigley, M., Conley, K., Gerkey, B. P., Faust, J., Foote, T., Leibs, J., Wheeler, R., & Ng, A. Y. (2009). ROS: An open-source robot operating system. In ICRA workshop on open source software (pp. 1\u20136)"},{"issue":"14","key":"10075_CR43","doi-asserted-by":"publisher","first-page":"1717","DOI":"10.1177\/0278364916684382","volume":"35","author":"F Ramos","year":"2016","unstructured":"Ramos, F., & Ott, L. (2016). Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent. International Journal of Robotics Research, 35(14), 1717\u20131730. https:\/\/doi.org\/10.1177\/0278364916684382.","journal-title":"International Journal of Robotics Research"},{"key":"10075_CR44","doi-asserted-by":"crossref","unstructured":"Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian processes for machine learning: Adaptive computation and machine learning. MIT Press.","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"10075_CR45","unstructured":"R\u00e9nyi, A. (1961). On measures of entropy and information. In Berkeley symposium on mathematical statistics and probability (vol.\u00a01, pp. 547\u2013561). https:\/\/projecteuclid.org\/euclid.bsmsp\/1200512181"},{"key":"10075_CR46","doi-asserted-by":"publisher","unstructured":"Rothrock, B., Kennedy, R., Cunningham, C., Papon, J., Heverly, M., & Ono, M. (2016). SPOC: Deep learning-based terrain classification for mars rover missions. In AIAA SPACE 2016, American Institute of aeronautics and astronautics. https:\/\/doi.org\/10.2514\/6.2016-5539","DOI":"10.2514\/6.2016-5539"},{"key":"10075_CR47","doi-asserted-by":"publisher","unstructured":"Ruiz, A. V., & Olariu, C. (2015). A general algorithm for exploration with Gaussian processes in complex, unknown environments. In IEEE international conference on robotics and automation (ICRA) (pp. 3388\u20133393). https:\/\/doi.org\/10.1109\/ICRA.2015.7139667","DOI":"10.1109\/ICRA.2015.7139667"},{"key":"10075_CR48","doi-asserted-by":"publisher","unstructured":"Singh, A., Krause, A., Guestrin, C., Kaiser, W., & Batalin, M. (2007). Efficient planning of informative paths for multiple robots. In International joint conference on artifical intelligence (pp. 2204\u20132211). https:\/\/doi.org\/10.5555\/1625275.1625631","DOI":"10.5555\/1625275.1625631"},{"issue":"11\u201312","key":"10075_CR49","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1002\/rob.20169","volume":"23","author":"B Sofman","year":"2006","unstructured":"Sofman, B., Lin, E., Bagnell, J. A., Cole, J., Vandapel, N., & Stentz, A. (2006). Improving robot navigation through self-supervised online learning. Journal of Field Robotics, 23(11\u201312), 1059\u20131075. https:\/\/doi.org\/10.1002\/rob.20169.","journal-title":"Journal of Field Robotics"},{"key":"10075_CR50","unstructured":"Srinivas, N., Krause, A., Kakade, S., & Seeger, M. (2010). Gaussian process optimization in the bandit setting: no regret and experimental design. In Intl. Conf. international conference on machine learning (ICML). Haifa, Israel (pp. 1015\u20131022). https:\/\/icml.cc\/conferences\/2010\/papers\/422.pdf"},{"key":"10075_CR51","doi-asserted-by":"publisher","unstructured":"Stachniss, C., Grisetti, G., & Burgard, W. (2005). Information gain-based exploration using rao-blackwellized particle filters. In Robotics: Science and systems (RSS), Robotics: Science and systems foundation. https:\/\/doi.org\/10.15607\/RSS.2005.I.009","DOI":"10.15607\/RSS.2005.I.009"},{"issue":"4","key":"10075_CR52","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1177\/0278364911435161","volume":"31","author":"A Stelzer","year":"2012","unstructured":"Stelzer, A., Hirschm\u00fcller, H., & G\u00f6rner, M. (2012). Stereo-vision-based navigation of a six-legged walking robot in unknown rough terrain. International Journal of Robotics Research, 31(4), 381\u2013402. https:\/\/doi.org\/10.1177\/0278364911435161.","journal-title":"International Journal of Robotics Research"},{"key":"10075_CR53","doi-asserted-by":"publisher","unstructured":"Tabib, W., Goel, K., Yao, J., Dabhi, M., Boirum, C., & Michael, N. (2019). Real-time information-theoretic exploration with Gaussian mixture model maps. In Robotics: Science and systems (RSS) (vol.\u00a015). https:\/\/doi.org\/10.15607\/RSS.2019.XV.061","DOI":"10.15607\/RSS.2019.XV.061"},{"key":"10075_CR54","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.mechatronics.2018.12.006","volume":"57","author":"K Tiwari","year":"2019","unstructured":"Tiwari, K., Xiao, X., Malik, A., & Chong, N. Y. (2019). A unified framework for operational range estimation of mobile robots operating on a single discharge to avoid complete immobilization. Mechatronics, 57, 173\u2013187. https:\/\/doi.org\/10.1016\/j.mechatronics.2018.12.006.","journal-title":"Mechatronics"},{"issue":"4","key":"10075_CR55","first-page":"413","volume":"63","author":"VA Tucker","year":"1975","unstructured":"Tucker, V. A. (1975). The energetic cost of moving about: Walking and running are extremely inefficient forms of locomotion: Much greater efficiency is achieved by birds, fish-and bicyclists. American Scientist, 63(4), 413\u2013419.","journal-title":"American Scientist"},{"issue":"7","key":"10075_CR56","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1109\/TGRS.2004.826787","volume":"42","author":"C \u00dcnsalan","year":"2004","unstructured":"\u00dcnsalan, C., & Boyer, K. L. (2004). Linearized vegetation indices based on a formal statistical framework. Transactions on Geoscience and Remote Sensing, 42(7), 1575\u20131585. https:\/\/doi.org\/10.1109\/TGRS.2004.826787.","journal-title":"Transactions on Geoscience and Remote Sensing"},{"key":"10075_CR57","doi-asserted-by":"publisher","unstructured":"Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H., & Blair, A. (2009). Gaussian Process modeling of large scale terrain. In IEEE international conference on robotics and automation (ICRA) (pp. 1047\u20131053). IEEE. https:\/\/doi.org\/10.1002\/rob.20309","DOI":"10.1002\/rob.20309"},{"key":"10075_CR58","doi-asserted-by":"publisher","unstructured":"Yamauchi, B. (1997). A frontier-based approach for autonomous exploration. In CIRA (pp. 146\u2013151). IEEE. https:\/\/doi.org\/10.1109\/CIRA.1997.613851","DOI":"10.1109\/CIRA.1997.613851"}],"container-title":["Autonomous Robots"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-022-10075-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10514-022-10075-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-022-10075-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T09:06:12Z","timestamp":1674205572000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10514-022-10075-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,24]]},"references-count":58,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["10075"],"URL":"https:\/\/doi.org\/10.1007\/s10514-022-10075-4","relation":{},"ISSN":["0929-5593","1573-7527"],"issn-type":[{"value":"0929-5593","type":"print"},{"value":"1573-7527","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,24]]},"assertion":[{"value":"27 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}