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Maximilian Beinhofer
Maximilian Beinhofer
Beinhofer Deep Tech
Verified email at beinhofer.tech
Title
Cited by
Cited by
Year
Occupancy grid models for robot mapping in changing environments
D Meyer-Delius, M Beinhofer, W Burgard
Proceedings of the AAAI conference on artificial intelligence 26 (1), 2024-2030, 2012
1682012
Effective landmark placement for accurate and reliable mobile robot navigation
M Beinhofer, J Müller, W Burgard
Robotics and Autonomous Systems 61 (10), 1060-1069, 2013
622013
Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot
D Meyer-Delius, M Beinhofer, A Kleiner, W Burgard
2011 IEEE International Conference on Robotics and Automation, 5173-5178, 2011
502011
A Probabilistic Approach to High-Confidence Cleaning Guarantees for Low-Cost Cleaning Robots
J Hess, M Beinhofer, W Burgard
IEEE International Conference on Robotics and Automation (ICRA), 2014
382014
Near-optimal landmark selection for mobile robot navigation
M Beinhofer, J Müller, W Burgard
2011 IEEE International Conference on Robotics and Automation, 4744-4749, 2011
332011
Robust Landmark Selection for Mobile Robot Navigation
M Beinhofer, J Müller, A Krause, W Burgard
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013
322013
Poisson-Driven Dirt Maps for Efficient Robot Cleaning
J Hess, M Beinhofer, D Kuhner, P Ruchti, W Burgard
IEEE International Conference on Robotics and Automation (ICRA), 2013
282013
Deploying Artificial Landmarks to Foster Data Association in Simultaneous Localization and Mapping
M Beinhofer, H Kretzschmar, W Burgard
IEEE Int. Conf. on Robotics and Automation (ICRA), 2013
232013
Lifelong localization and dynamic map estimation in changing environments
GD Tipaldi, D Meyer-Delius, M Beinhofer, W Burgard
RSS workshop on robots in clutter 80, 81, 2012
132012
Correlations in Lévy interest rate models
M Beinhofer, E Eberlein, A Janssen, M Polley
Quantitative Finance 11 (9), 1315-1327, 2011
102011
The Relative Confusion Matrix, a Tool to Assess Classifiablility in Large Scale Picking Applications
A Balasch, M Beinhofer, G Zauner
International Conference on Robotics and Automation (ICRA), 2020
72020
Landmark Placement for Accurate Mobile Robot Navigation
M Beinhofer, J Müller, W Burgard
European Conference on Mobile Robots (ECMR), 2011
62011
Grid-based models for dynamic environments
D Meyer-Delius, M Beinhofer, W Burgard
Dept. of Computer Science, University of Freiburg, Tech. Rep, 2011
62011
Robot system with motion sequences adapted to product types, and operating method therefor
M Beinhofer, H Schroepf
US Patent App. 16/978,232, 2021
52021
Landmark placement for mobile robot navigation
M Beinhofer
University of Freiburg, 2014
32014
Simultaneous Localization and Dynamic State Estimation in Reconfigurable Environments
GD Tipaldi, D Meyer-Delius, M Beinhofer, W Burgard
IEEE/RSJ IROS Workshop on Metrics and Methodologies for Autonomous Robot …, 2011
32011
Efficient Estimation of Expected Distributions for Mobile Robot Navigation
M Beinhofer, W Burgard
Austrian Robotics Workshop (ARW), 2014
22014
Optimization method for improving the reliability of goods commissioning using a robot
M Beinhofer, A Balasch, H Schroepf
US Patent App. 17/289,887, 2021
12021
Method and device for picking goods
M Beinhofer, HJ Schroepf
US Patent 11,559,899, 2023
2023
Transport and manipulation system and method for transporting load carriers
M Winkler, M Beinhofer
US Patent App. 17/636,163, 2022
2022
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