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Maximilian Beinhofer
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2020 – today
- 2023
- [j2]Florian Kagerer, Maximilian Beinhofer, Stefan Stricker, Andreas Nüchter:
BED-BPP: Benchmarking dataset for robotic bin packing problems. Int. J. Robotics Res. 42(11): 1007-1014 (2023) - 2020
- [c9]Alexander Balasch, Maximilian Beinhofer, Gerald Zauner:
The Relative Confusion Matrix, a Tool to Assess Classifiablility in Large Scale Picking Applications. ICRA 2020: 8390-8396
2010 – 2019
- 2014
- [b1]Maximilian Beinhofer:
Landmark placement for mobile robot navigation (Landmarkenplatzierung zur Optimierung der Navigation mobiler Roboter). University of Freiburg, Germany, 2014 - [c8]Jürgen Hess, Maximilian Beinhofer, Wolfram Burgard:
A probabilistic approach to high-confidence cleaning guarantees for low-cost cleaning robots. ICRA 2014: 5600-5605 - 2013
- [j1]Maximilian Beinhofer, Jörg Müller, Wolfram Burgard:
Effective landmark placement for accurate and reliable mobile robot navigation. Robotics Auton. Syst. 61(10): 1060-1069 (2013) - [c7]Jürgen Hess, Maximilian Beinhofer, Daniel Kuhner, Philipp Ruchti, Wolfram Burgard:
Poisson-driven dirt maps for efficient robot cleaning. ICRA 2013: 2245-2250 - [c6]Maximilian Beinhofer, Henrik Kretzschmar, Wolfram Burgard:
Deploying artificial landmarks to foster data association in simultaneous localization and mapping. ICRA 2013: 5235-5240 - [c5]Maximilian Beinhofer, Jörg Müller, Andreas Krause, Wolfram Burgard:
Robust landmark selection for mobile robot navigation. IROS 2013: 3637-2643 - 2012
- [c4]Daniel Meyer-Delius, Maximilian Beinhofer, Wolfram Burgard:
Occupancy Grid Models for Robot Mapping in Changing Environments. AAAI 2012: 2024-2030 - 2011
- [c3]Maximilian Beinhofer, Jörg Müller, Wolfram Burgard:
Landmark Placement for Accurate Mobile Robot Navigation. ECMR 2011: 55-60 - [c2]Maximilian Beinhofer, Jörg Müller, Wolfram Burgard:
Near-optimal landmark selection for mobile robot navigation. ICRA 2011: 4744-4749 - [c1]Daniel Meyer-Delius, Maximilian Beinhofer, Alexander Kleiner, Wolfram Burgard:
Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot. ICRA 2011: 5173-5178
Coauthor Index
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