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Topic: A3-Multibot
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Publications for topic "A3-Multibot"
2009
| , , and , Unsupervised Discovery of Object Classes from Range Data using Latent Dirichlet Allocation, in: Proc.~of Robotics: Science and Systems (RSS), 2009 |
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| , , and , Utilizing Reflection Properties of Surfaces to Improve Mobile Robot Localization, in: Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2009 |
| , and , Which Landmark is Useful? Learning Selection Policies for Navigation in Unknown Environments, in: Proc. of the IEEE International Conference on Robotics \& Automation (ICRA), 2009 |
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2008
| , and , Coordinated Multi-Robot Exploration using a Segmentation of the Environment, in: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2008 |
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| , , , and , Efficient Path Planning for Mobile Robots in Environments with Deformable Objects, in: Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2008 |
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| , , and , Efficiently Learning High-dimensional Observation Models for Monte-Carlo Localization using Gaussian Mixtures, in: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2008 |
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| , , and , Estimating Landmark Locations from Geo-Referenced Photographs, in: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2008 |
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| , , and , Gas Distribution Modeling using Sparse Gaussian Process Mixture Models, in: Proc. of Robotics: Science and Systems (RSS)", 2008 |
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| , , , and , How to Learn Accurate Grid Maps with a Humanoid, in: Proc. of the IEEE Int. Conf. on Robotics \& Automation (ICRA), 2008 |
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| , , , and , Learning Cost Functions for Mobile Robot Navigation in Environments with Deformable Objects, in: Workshop on Path Planning on Cost Maps at the IEEE Int. Conf. on Robotics and Automation (ICRA), 2008 |
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| , , and , Learning Visual Maps using Cameras and Inertial Sensors, in: Workshop on Robotic Perception, International Conference on Computer Vision Theory and Applications, 2008 |
| , , , and , Monocular Range Sensing: A Non-Parametric Learning Approach, in: Proc. of the IEEE Int. Conf. on Robotics \& Automation (ICRA), 2008 |
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| , , , and , Online Constraint Network Optimization for Efficient Maximum Likelihood Map Learning, in: Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2008 |
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| , , and , Socially Inspired Motion Planning for Mobile Robots in Populated Environments, in: Cognitive Systems 2008, springer, 2008 |
| , , and , Socially Inspired Motion Planning for Mobile Robots in Populated Environments, in: International Conference on Cognitive Systems (CogSys), 2008 |
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| , , , and , Using the Body in Learning to Recognize Objects, in: Proc.~of the Int.~Conf.~on Intelligent Autonomous Systems (IAS), pages 110-118, IOS Press, 2008 |
| , , and , Visual SLAM for Flying Vehicles (2008), in: IEEE Transactions on Robotics, 24:8(1088--1093) |
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2007
| , , and , A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent, in: Proc. of Robotics: Science and Systems (RSS), 2007 |
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| , , and , Autonomous Exploration for 3D Map Learning, in: Autonome Mobile Systeme, 2007 |
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| , , , and , Efficient Estimation of Accurate Maximum Likelihood Maps in 3D, in: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2007 |
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| , , and , Efficiently Learning Metric and Topological Maps with Autonomous Service Robots (2007), in: it - Information Technology, 49:4(232--238) |
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| , , and , Evaluation of Gaussian Proposal Distributions for Mapping with Rao-Blackwellized Particle Filters, in: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2007 |
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| , , , and , Fast and Accurate SLAM with Rao-Blackwellized Particle Filters (2007), in: Robots and Autonomous Systems, 55:1(30--38) |
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| , , and , Improved Simultaneous Localization and Mapping using a Dual Representation of the Environment, in: Proc. of the European Conference on Mobile Robots (ECMR), 2007 |
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| , and , Improved Techniques for Grid Mapping with Rao-Blackwellized Particle Filters (2007), in: IEEE Transactions on Robotics, 23:1(34--46) |
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