- Giorgio Grisetti and Cyrill Stachniss University of Freiburg, Germany
- Learning Kinematic Models for Articulated Objects Jurgen Sturm1, Cyrill Stachniss1, Vijay Pradeep2, Christian Plagemann3,
- A Tutorial on Graph-Based SLAM Giorgio Grisetti Rainer Kummerle Cyrill Stachniss Wolfram Burgard
- Learning Deformable Object Models for Mobile Robot Navigation
- A Nonparametric Learning Approach to Range Sensing from Omnidirectional Vision
- Hierarchical Optimization on Manifolds for Online 2D and 3D Mapping Giorgio Grisetti Rainer Kummerle Cyrill Stachniss Udo Frese Christoph Hertzberg
- Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
- Learning Cost Functions for Mobile Robot Navigation in Environments with Deformable Objects
- Autonomous Exploration for 3D Map Learning Dominik Joho, Cyrill Stachniss, Patrick Pfaff, and Wolfram Burgard
- Using AdaBoost for Place Labeling and Topological Map Building
- Autonomous Driving in Dynamic Environments Sascha Kolski, Dave Ferguson, Cyrill Stachniss, and Roland Siegwart
- 16 2006 The Authors Journal compilation 2006 Australian Society of Endodontology
- Dissertation zur Erlangung des Doktorgrades der Fakultt fr Angewandte Wissenschaften der
- Speeding Up Multi-Robot Exploration by Considering Semantic Place Information
- Metric Localization with Scale-Invariant Visual Features using a Single Perspective Camera
- Exploring Unknown Environments with Mobile Robots using Coverage Maps Cyrill Stachniss Wolfram Burgard
- ALBERT-LUDWIGS-UNIVERSITAT INSTITUT FUR INFORMATIK
- Learning the Elasticity Parameters of Deformable Objects with a Manipulation Robot
- COOPERATIVE EXPLORATION WITH MULTIPLE ROBOTS USING LOW BANDWIDTH COMMUNICATION
- Learning Landmark Selection Policies for Mapping Unknown Environments
- Efficient Path Planning for Mobile Robots in Environments with Deformable Objects
- A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent
- Which Landmark is Useful? Learning Selection Policies for Navigation in Unknown Environments
- KI Kunstliche Intelligenz manuscript No. (will be inserted by the editor)
- Gaussian Process Regression Model all ranges as jointly Gaussian distributed
- Using Coverage Maps to Represent the Environment of Mobile Robots Cyrill Stachniss Wolfram Burgard
- Kumulative Habilitation eingereicht an der Technischen Fakultat der
- ALBERT-LUDWIGS-UNIVERSITT INSTITUT FR INFORMATIK
- Efficiently Learning High-dimensional Observation Models for Monte-Carlo Localization using Gaussian Mixtures
- Efficient Exploration of Unknown Indoor Environments using a Team of Mobile Robots
- Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters
- Mobile Robot Map Learning from Range Data in Dynamic Environments
- Navigation in Combined Outdoor and Indoor Environments using Multi-Level Surface Maps
- Vision-based Detection for Learning Articulation Models of Cabinet Doors and Drawers in Household Environments
- 3D Pose Estimation, Tracking and Model Learning of Articulated Objects from Dense Depth Video using Projected Texture Stereo
- UNIVERSITY OF FREIBURG COMPUTER SCIENCE
- Towards Mapping of Cities Patrick Pfaff Rudolph Triebel Cyrill Stachniss Pierre Lamon Wolfram Burgard Roland Siegwart
- Non-linear Constraint Network Optimization for Efficient Map Learning
- Autonomous Robots manuscript No. (will be inserted by the editor)
- Visual Bearing-Only Simultaneous Localization and Mapping with Improved Feature Matching
- Real-world Robot Navigation amongst Deformable Obstacles Barbara Frank Cyrill Stachniss Rudiger Schmedding Matthias Teschner Wolfram Burgard
- COORDINATING MULTIPLE ROBOTS DURING EXPLORATION UNDER COMMUNICATION WITH LIMITED BANDWIDTH
- Object Identification with Tactile Sensors using Bag-of-Features Alexander Schneider Jurgen Sturm Cyrill Stachniss
- Hierarchies of Octrees for Efficient 3D Mapping Kai M. Wurm Daniel Hennes Dirk Holz Radu B. Rusu Cyrill Stachniss Kurt Konolige Wolfram Burgard
