Abstract
Probabilistic robot mapping techniques can produce high resolution, accurate maps of large indoor and outdoor environments. However, much less progress has been made towards robots using these maps to perform useful functions such as efficient navigation. This paper describes a pragmatic approach to mapping system development that considers not only the map but also the navigation functionality that the map must provide. We pursue this approach within a bio-inspired mapping context, and use results from robot experiments in indoor and outdoor environments to demonstrate its validity. The research attempts to stimulate new research directions in the field of robot mapping with a proposal for a new approach that has the potential to lead to more complete mapping and navigation systems.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Thrun, S.: Robotic Mapping: A Survey. In: Exploring Artificial Intelligence in the New Millennium, Morgan Kaufmann, San Francisco (2002)
Dissanayake, G., Durrant-Whyte, H., Bailey, T.: A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem. In: 2000 IEEE International Conference on Robotics and Automation, San Franciso, USA, IEEE, Los Alamitos (2000)
Newman, P.M., Leonard, J.J.: Consistent, Convergent, and Constant-time SLAM. In: International Joint Conference on Artificial Intelligence, Acapulco, Mexico (2003)
Thrun, S.: Probabilistic Algorithms in Robotics. AI Magazine 21, 93–109 (2000)
Montemerlo, M., Thrun, S., Koller, D., Wegbreit, B.: FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. In: AAAI National Conference on Artificial Intelligence, Edmonton, Canada (2002)
Montemerlo, M., Thrun, S., Koller, D., Wegbreit, B.: FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges. In: International Joint Conference on Artificial Intelligence, Acapulco, Mexico (2003)
Grisetti, G., Stachniss, C., Burgard, W.: Improving Grid Based SLAM with Rao Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling. In: International Conference on Robotics and Automation, Barcelona, Spain (2005)
Thrun, S., Koller, D., Ghahramani, Z., Durrant-Whyte, H., Ng., A.Y.: Simultaneous Mapping and Localization With Sparse Extended Information Filters: Theory and Initial Results. In: Fifth International Workshop on Algorithmic Foundations of Robotics, Nice, France (2002)
Yamauchi, B., Beer, R.: Spatial Learning for Navigation in Dynamic Environments. Man and Cybernetics 26, 496–505 (1996)
Thrun, S.: Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva. International Journal of Robotics Research 19, 972–999 (2000)
Stentz, A., Hebert, M.: A Complete Navigation System for Goal Acquisition in Unknown Environments. Autonomous Robots 2, 127–145 (1995)
Kuipers, B., Byun, Y.T.: A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations. Robotics and Autonomous Systems 8, 47–63 (1991)
Kuipers, B., Modayil, J., Beeson, P., MacMahon, M., Savelli, F.: Local Metrical and Global Topological Maps in the Hybrid Spatial Semantic Hierarchy. In: International Conference on Robotics and Automation, New Orleans, USA (2004)
Hmelo-Silver, C.E., Pfeffer, M.G.: Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions. Cognitive Science 28, 127–138 (2003)
Kobayashi, T., Nishijo, H., Fukuda, M., Bures, J., Ono, T.: Task-Dependent Representations in Rat Hippocampal Place Neurons. The Journal of Neurophysiology. 78, 597–613 (1997)
Bostock, E., Muller, R., Kubie, J.: Experience-dependent modifications of hippocampal place cell firing. Hippocampus 1, 193–205 (1991)
Kobayashi, T., Tran, A.H., Nishijo, H., Ono, T., Matsumoto, G.: Contribution of hippocampal place cell activity to learning and formation of goal-directed navigation in rats. Neuroscience 117, 1025–1035 (2003)
Frisch, K.v.: The Dance Language and Orientation of Bees. Harvard University Press, Cambridge (1967)
Wehner, R., Gallizzi, K., Frei, C., Vesely, M.: Calibration processes in desert ant navigation: vector courses and systematic search. Journal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology 188, 683–693 (2002)
Milford, M.J., Wyeth, G., Prasser, D.: RatSLAM: A Hippocampal Model for Simultaneous Localization and Mapping. In: International Conference on Robotics and Automation, New Orleans, USA (2004)
Prasser, D., Milford, M., Wyeth, G.: Outdoor Simultaneous Localisation and Mapping using RatSLAM. In: International Conference on Field and Service Robotics, Port Douglas, Australia (2005)
Milford, M.J., Wyeth, G.F., Prasser, D.P.: RatSLAM on the Edge: Revealing a Coherent Representation from an Overloaded Rat Brain. In: International Conference on Robots and Intelligent Systems, Beijing, China (2006)
Milford, M., Schulz, R., Prasser, D., Wyeth, G., Wiles, J.: Learning Spatial Concepts from RatSLAM Representations. Robots and Autonomous Systems (2006)
Muller, R.U., Kubie, J.L.: The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells. The Journal of Neuroscience 7, 1951–1968 (1987)
Tews, A., Robert, J., Roberts, J., Usher, K.: Is the Sun Too Bright in Queensland? An Approach to Robust Outdoor Colour Beacon Detection. In: Australasian Conference on Robotics and Automation, Sydney, Australia (2005)
Recce, M., Harris, K.D.: Memory for places: A navigational model in support of Marr’s theory of hippocampal function. Hippocampus 6, 735–748 (1998)
Gaussier, P., Zrehen, S.: Navigating With an Animal Brain: A Neural Network for Landmark Identification and Navigation. In: Intelligent Vehicles, 399–404 (1994)
Franz, M.O., Mallot, H.A.: Biomimetic robot navigation. Robotics and Autonomous Systems, 133–153 (2000)
Crane III, C., Armstrong Jr., D., Torrie, M., Gray, S.: Autonomous Ground Vehicle Technologies Applied to the DARPA Grand Challenge. In: International Conference on Control, Automation, and Systems, Bangkok, Thailand (2004)
Ozguner, U., Redmill, K.A., Broggi, A.: Team TerraMax and the DARPA grand challenge: a general overview. In: Intelligent Vehicles Symposium, Parma, Italy (2004)
Browning, B.: Biologically Plausible Spatial Navigation for a Mobile Robot. PhD, Computer Science and Electrical Engineering, University of Queensland, Brisbane (2000)
Arleo, A.: Spatial Learning and Navigation in Neuro-mimetic Systems: Modeling the Rat Hippocampus. PhD, Department of Computer Science, Swiss Federal Institute of Technology, Lausanne (2000)
Milford, M.J., Wyeth, G.: Hippocampal Models for Simultaneous Localisation and Mapping on an Autonomous Robot. In: Australasian Conference on Robotics and Automation, Brisbane, Australia (2003)
Redish, D.: Beyond the Cognitive Map. Massachusetts Institute of Technology, Massachusetts (1999)
Milford, M.J., Wyeth, G., Prasser, D.: Simultaneous Localization and Mapping from Natural Landmarks using RatSLAM. In: Australasian Conference on Robotics and Automation, Canberra, Australia (2004)
Nieto, J., Guivant, J., Nebot, E.: Real Time Data Association for FastSLAM. In: International Conference on Robotics & Automation, Taipei, Taiwan (2003)
Milford, M.J., Prasser, D., Wyeth, G.: Experience Mapping: Producing Spatially Continuous Environment Representations using RatSLAM. In: Australasian Conference on Robotics and Automation, Sydney, Australia (2005)
Stachniss, C., Burgard, W.: Mapping and Exploration with Mobile Robots using Coverage Maps. In: International Conference on Intelligent Robots and Systems, Las Vegas, USA (2003)
Yamauchi, B.: A Frontier Based Approach for Autonomous Exploration. In: International Symposium on Computational Intelligence in Robotics and Automation, Monterey, USA (1997)
Fyhn, M., Molden, S., Witter, M.P., Moser, E.I., Moser, M.-B.: Spatial Representation in the Entorhinal Cortex. Science 27, 1258–1264 (2004)
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., Moser, E.I.: Microstructure of a spatial map in the entorhinal cortex. Nature Neuroscience 11, 801–806 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Milford, M., Wyeth, G. (2007). Spatial Mapping and Map Exploitation: A Bio-inspired Engineering Perspective. In: Winter, S., Duckham, M., Kulik, L., Kuipers, B. (eds) Spatial Information Theory. COSIT 2007. Lecture Notes in Computer Science, vol 4736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74788-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-74788-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74786-4
Online ISBN: 978-3-540-74788-8
eBook Packages: Computer ScienceComputer Science (R0)