Lukas Luft

Robot Localization and Mapping

• Lukas Luft
  Efficient Generalizations of Probabilistic Methods for Robot Localization and Mapping
  PHD Thesis, 2020
  Download BibTeX

  @phdthesis{luft20phd,
    author	= {Lukas Luft}, 
    title		= {Efficient Generalizations of Probabilistic Methods for Robot Localization and Mapping},
    school	= {University of Freiburg, Department of Computer Science},
    year		= {2020},
    month		= {July},
    doi	  	= {https://doi.org/10.6094/UNIFR/166492},
    url		= {https://freidok.uni-freiburg.de/data/166492}
  }
  

• Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher and Wolfram Burgard
  On the Bayes Filter for Shared Autonomy
  IEEE Robotics and Automation Letters (RA-L), 2019
  Download BibTeX

  @Article{	  luft19ral,
    author	= {Lukas Luft and Federico Boniardi and Alexander Schaefer
  		  and Daniel B{\"u}scher and Wolfram Burgard},
    journal	= {IEEE Robotics and Automation Letters (RA-L)},
    title		= {On the {Bayes} Filter for Shared Autonomy},
    month		= {October},
    year		= {2019},
    volume	= {4},
    number	= {4},
    doi		= {10.1109/LRA.2019.2926217},
    pages		= {3286-3293},
    url		= {https://ieeexplore.ieee.org/document/8752445}
  }
  

• Lukas Luft, Tobias Schubert, Stergios I. Roumeliotis and Wolfram Burgard
  Recursive Decentralized Localization for Multi-Robot Systems with Asynchronous Pairwise Communication
  International Journal of Robotics Research (IJRR), 2018
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  @article{luft18ijrr,
  author = {Lukas Luft and Tobias Schubert and Stergios I. Roumeliotis and Wolfram Burgard},
  title ={Recursive decentralized localization for multi-robot systems with asynchronous pairwise communication},
  journal = {The International Journal of Robotics Research},
  volume = {0},
  number = {0},
  pages = {0278364918760698},
  year = {0},
  doi = {10.1177/0278364918760698},
  URL = {https://doi.org/10.1177/0278364918760698},
  eprint = {https://doi.org/10.1177/0278364918760698},
  }
  

• Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
  Detecting Changes in the Environment Based on Full Posterior Distributions over Real-valued Grid Maps
  IEEE Robotics and Automation Letters (RA-L) Volume: 3, Issue: 2, April 2018
  Download BibTeX

  @ARTICLE{8268055,
  author={L. Luft and A. Schaefer and T. Schubert and W. Burgard},
  journal={IEEE Robotics and Automation Letters},
  title={Detecting Changes in the Environment Based on Full Posterior Distributions Over Real-Valued Grid Maps},
  year={2018},
  volume={3},
  number={2},
  pages={1299-1305},
  keywords={Closed-form solutions;Estimation;Laser beams;Laser modes;Robots;Three-dimensional displays;Time measurement;Mapping;range sensing},
  doi={10.1109/LRA.2018.2797317},
  ISSN={},
  month={April},}
  

• Alexander Schaefer, Lukas Luft, Wolfram Burgard
  DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
  IEEE Robotics and Automation Letters (RA-L) Volume: 3, Issue: 2, April 2018
  Download BibTeX

  @ARTICLE{8260843,
  author={A. Schaefer and L. Luft and W. Burgard},
  journal={IEEE Robotics and Automation Letters},
  title={DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform},
  year={2018},
  volume={3},
  number={2},
  pages={1002-1009},
  keywords={Computational modeling;Discrete cosine transforms;Frequency-domain analysis;Laser radar;Mathematical model;Robots;Sensors;Mapping;localization;occupancy mapping;range sensing},
  doi={10.1109/LRA.2018.2794602},
  ISSN={},
  month={April},}
  

• Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
  Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
  IEEE Conference on Intelligent Robots and Systems (IROS) 2017
  Download BibTeX

  @inproceedings{luft17iros,
    author = {Lukas Luft and Alexander Schaefer and Tobias Schubert and Wolfram Burgard},
    title = {Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors},
    booktitle = {Proc.~of the IEEE Int.~Conf.~on Intelligent Robots and Systems (IROS)},
    year = 2017,
    url = {http://ais.informatik.uni-freiburg.de/publications/papers/luft17iros.pdf},
    address = {Vancouver, BC, Canada}}
  

• Alexander Schaefer, Lukas Luft, Wolfram Burgard
  An Analytical Lidar Sensor Model Based on Ray Path Information
  IEEE Robotics and Automation Letters (RA-L) Volume: 2, Issue: 3, July 2017
  Download BibTeX

  @ARTICLE{7857032,
  author={A. Schaefer and L. Luft and W. Burgard},
  journal={IEEE Robotics and Automation Letters},
  title={An Analytical Lidar Sensor Model Based on Ray Path Information},
  year={2017},
  volume={2},
  number={3},
  pages={1405-1412},
  keywords={mobile robots;optical radar;optimisation;radar receivers;state estimation;analytical lidar sensor model;consistent physical model;data likelihood maximization;mobile robot;out-of-range measurement;probabilistic state estimation approach;ray path information;ray reflections;well-established reflection model;Computational modeling;Laser modes;Laser radar;Measurement by laser beam;Probabilistic logic;Robot sensing systems;Space exploration;Localization;mapping;range sensing},
  doi={10.1109/LRA.2017.2669376},
  ISSN={2377-3766},
  month={July},}
  

• Lukas Luft, Tobias Schubert, Stergios Roumeliotis, Wolfram Burgard
  Recursive Decentralized Collaborative Localization for Sparsely Communicating Robots
  Proceedings of Robotics : Science and Systems (RSS), Ann Arbor (USA), 2016
  Download BibTeX

  @INPROCEEDINGS{Luft-RSS-16, 
      AUTHOR    = {Lukas Luft AND Tobias Schubert AND Stergios I. Roumeliotis AND Wolfram Burgard}, 
      TITLE     = {Recursive Decentralized Collaborative Localization for Sparsely Communicating Robots}, 
      BOOKTITLE = {Proceedings of Robotics: Science and Systems}, 
      YEAR      = {2016}, 
      ADDRESS   = {AnnArbor, Michigan}, 
      MONTH     = {June}, 
      DOI       = {10.15607/RSS.2016.XII.016}}
  

Causality and Foundations of Quantum Physics

• Rafael Chaves, Lukas Luft, Thiago Maciel, David Gross, Dominik Janzing, Bernhard Schölkopf
  Inferring latent structures via information inequalities
  Conference on Uncertainty in Artificial Intelligence (UAI), Quebec City (Canada), 2014
  Download BibTeX

  @inproceedings{ChavesLMGJS2014,
    title = {Inferring latent structures via information inequalities},
    author = {Chaves, R. and Luft, L. and Maciel, T. and Gross, D. and Janzing, D. and Sch{\"o}lkopf, B.},
    booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence},
    address = {Corvallis, Oregon},
    editor = {Zhang, NL and Tian, J},
    publisher = {AUAI Press},
    month = {},
    pages = {112-121},
    year = {2014},
    url = {http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2014/Janzing_UAI2014.pdf},
    department = {Department Sch{\"o}lkopf},
    web_url = {http://auai.org/uai2014/proceedings/individuals/176.pdf},
    event_name = {UAI 2014},
    event_place = {Quebec City, Canada}
  }

• Rafael Chaves, Lukas Luft, David Gross
  Causal structures from entropic information: geometry and novel scenarios
  New Journal of Physics (NJP), 2014
  Download BibTeX

  @article{1367-2630-16-4-043001,
    author={Rafael Chaves and Lukas Luft and David Gross},
    title={Causal structures from entropic information: geometry and novel scenarios},
    journal={New Journal of Physics},
    volume={16},
    number={4},
    pages={043001},
    url={http://stacks.iop.org/1367-2630/16/i=4/a=043001},
    year={2014},
  }