Richard Hanten

Background

Since December 2013
Research assistant at the Department of Cognitive Systems, University of Tübingen

2011 - 2013
Master of Science in Computer Science at the University of Tübingen

2008 - 2011
Bachelor of Science in Computer Science at the University of Tübingen

Research Interests

  • Robot Vision
  • Machine Learing
  • Mobile Robots
  • Mapping and Localization

Teaching

Theses

Luftbildbasierte Navigation eines Quadrocopters
Master's thesis, University of Tübingen, November 2013

Fusion von 3D-Laserscanner-Daten mit 2D-Bilddaten
Bachelor's thesis, University of Tübingen, August 2011

Publications

[1] Cornelia Schulz, Richard Hanten,  Matthias Reisenauer, and Andreas Zell. Collaborative Mapping with Pose Uncertainties using different Radio Frequencies and Communication Modules. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 2019. (Accepted for publication).
[2] Richard Hanten, Cornelia Schulz, Adrian Zwiener, and Andreas Zell. MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 2019. (Accepted for publication).
[3] Adrian Zwiener, Richard Hanten, Cornelia Schulz, and Andreas Zell. ARMCL: ARM Contact point Localization via Monte Carlo Localization. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 2019. (Accepted for publication).
[4] Cornelia Schulz, Richard Hanten, Matthias Reisenauer, and Andreas Zell. Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication. In 2019 Third IEEE International Conference on Robotic Computing (IRC), pages 413--414, Naples, Italy, February 2019.
[5] Cornelia Schulz, Richard Hanten, and Andreas Zell. Efficient Map Representations for Multi-Dimensional Normal Distributions Transforms. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2679--2686, Madrid, Spain, October 2018.
[6] Richard Hanten, Philipp Kuhlmann, Sebastian Otte, and Andreas Zell. Robust real-time 3d person detection for indoor and outdoor applications. In IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018. (Accepted for publication). [ details ]
[7] Adrian Zwiener, Sebastian Otte, Richard Hanten, and Andreas Zell. Configuration depending crosstalk torque calibration for robotic manipulators with deep neural regression models. In Intelligent Autonomous Systems (IAS), The 15th International Conference on, Baden-Baden, Germany, 2018. (Accepted for publication). [ details ]
[8] Sebastian Buck, Richard Hanten, Karsten Bohlmann, and Andreas Zell. Multi-sensor payload detection and acquisition for truck-trailer agvs. In Robotics and Automation (ICRA), 2017 IEEE International Conference on, Singapore, 2017. [ details ]
[9] Sebastian Buck, Richard Hanten, Karsten Bohlmann, and Andreas Zell. Generic 3d obstacle detection for agvs using time-of-flight cameras. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, pages 4119 -- 4124, Daejeon, Korea, October 2016. [ DOI | details ]
[10] Sebastian Otte, Zwiener Adrian, Richard Hanten, and Andreas Zell. Inverse Recurrent Models -- An Application Scenario for Many-Joint Robot Arm Control. In International Conference on Artificial Neural Networks (ICANN), pages 149--157, Barcelona, Spain, September 2016. Springer.
[11] Richard Hanten, Sebastian Buck, Sebastian Otte, and Andreas Zell. Vector-amcl: Vector based adaptive monte carlo localization for indoor maps. In Intelligent Autonomous Systems (IAS), The 14th International Conference on, Shanghai, CN, July 2016. [ details ]
[12] Sebastian Buck, Richard Hanten, C. Robert Pech, and Andreas Zell. Synchronous dataflow and visual programming for prototyping robotic algorithms. In Intelligent Autonomous Systems (IAS), The 14th International Conference on, pages 911--923, Shanghai, CN, July 2016. [ DOI | details | pdf ]
[13] Sebastian Buck, Richard Hanten, Goran Huskić, Gerald Rauscher, Alina Kloss, Jan Leininger, Eugen Ruff, Felix Widmaier, and Andreas Zell. Conclusions from an object-delivery robotic competition: Sick robot day 2014. In Advanced Robotics (ICAR), The 17th International Conference on, pages 137--143, Istanbul, TR, July 2015. [ DOI | details | link | pdf ]
[14] Sebastian Otte, Stefan Laible, Richard Hanten, Marcus Liwicki, and Andreas Zell. Robust Visual Terrain Classification with Recurrent Neural Networks. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 451--456, Bruges, Belgium, April 2015.
[15] Andreas Masselli, Richard Hanten, and Andreas Zell. Localization of unmanned aerial vehicles using terrain classification from aerial images. In 2014 International Conference on Intelligent Autonomous Systems (IAS-13), Padova, Italy, July 2014. [ details ]
[16] Andreas Masselli, Richard Hanten, and Andreas Zell. Robust Real-Time Detection of Multiple Balls on a Mobile Robot. In European Conference on Mobile Robots (ECMR 2013), Barcelona, Catalonia, Spain, September 2013. [ details | pdf ]