| [1] | 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). |
| [2] | 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). |
| [3] | Adrian Zwiener, Christian Geckeler, and Andreas Zell. Contact point localization for articulated manipulators with proprioceptive sensors and machine learning. In 2018 IEEE International Conference on Robotics and Automation (ICRA), pages 323--329, May 2018. [ DOI ] |
| [4] | 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 ] |
| [5] | Sebastian Otte, Adrian Zwiener, and Martin V Butz. Inherently constraint-aware control of many-joint robot arms with inverse recurrent models. In International Conference on Artificial Neural Networks, pages 262--270. Springer, 2017. |
| [6] | 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. |
