Articles avec mandats d'accès public - Henrik KretzschmarEn savoir plus
Disponibles quelque part : 14
Socially compliant mobile robot navigation via inverse reinforcement learning
H Kretzschmar, M Spies, C Sprunk, W Burgard
The International Journal of Robotics Research (IJRR), 2016
Exigences : German Research Foundation
Feature-Based Prediction of Trajectories for Socially Compliant Navigation
M Kuderer, H Kretzschmar, C Sprunk, W Burgard
Robotics: Science and Systems (RSS), 2012
Exigences : German Research Foundation
Information-theoretic compression of pose graphs for laser-based SLAM
H Kretzschmar, C Stachniss
The International Journal of Robotics Research (IJRR) 31 (11), 1219-1230, 2012
Exigences : German Research Foundation
Learning to predict trajectories of cooperatively navigating agents
H Kretzschmar, M Kuderer, W Burgard
2014 IEEE international conference on robotics and automation (ICRA), 4015-4020, 2014
Exigences : German Research Foundation
Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders
H Kretzschmar, C Stachniss, G Grisetti
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011
Exigences : German Research Foundation
Learning manipulation actions from a few demonstrations
N Abdo, H Kretzschmar, L Spinello, C Stachniss
2013 IEEE International Conference on Robotics and Automation, 1268-1275, 2013
Exigences : German Research Foundation
Teaching mobile robots to cooperatively navigate in populated environments
M Kuderer, H Kretzschmar, W Burgard
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
Exigences : German Research Foundation
Online generation of homotopically distinct navigation paths
M Kuderer, C Sprunk, H Kretzschmar, W Burgard
2014 IEEE International Conference on Robotics and Automation (ICRA), 6462-6467, 2014
Exigences : German Research Foundation
Accurate human motion capture in large areas by combining IMU-and laser-based people tracking
J Ziegler, H Kretzschmar, C Stachniss, G Grisetti, W Burgard
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 86-91, 2011
Exigences : German Research Foundation
Identifying vegetation from laser data in structured outdoor environments
KM Wurm, H Kretzschmar, R Kümmerle, C Stachniss, W Burgard
Robotics and Autonomous Systems 62 (5), 675-684, 2014
Exigences : German Research Foundation
Lifelong map learning for graph-based SLAM in static environments
H Kretzschmar, G Grisetti, C Stachniss
KI-Künstliche Intelligenz 24 (3), 199-206, 2010
Exigences : German Research Foundation
Deploying artificial landmarks to foster data association in simultaneous localization and mapping
M Beinhofer, H Kretzschmar, W Burgard
2013 IEEE International Conference on Robotics and Automation, 5235-5240, 2013
Exigences : German Research Foundation
Learning to give route directions from human demonstrations
S Oßwald, H Kretzschmar, W Burgard, C Stachniss
2014 IEEE International Conference on Robotics and Automation (ICRA), 3303-3308, 2014
Exigences : German Research Foundation
Estimating landmark locations from geo-referenced photographs
H Kretzschmar, C Stachniss, C Plagemann, W Burgard
Intelligent Robots and Systems (IROS), 2008 IEEE/RSJ International …, 2008
Exigences : German Research Foundation
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