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Scene recognition for mobile robots by relational object search using Next-Best-View estimates from hierarchical Implicit Shape Models.

, , , , and . IROS, page 137-144. IEEE, (2016)

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Indoor scene recognition by 3-D object search: for robot programming by demonstration. Karlsruhe University, Germany, (2020)base-search.net (ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000100536).GSMR-CNN: An End-to-End Trainable Architecture for Grasping Target Objects from Multi-Object Scenes., , and . ICRA, page 3808-3814. IEEE, (2023)Self-supervised Learning for Precise Pick-and-place without Object Model., , and . CoRR, (2020)Robot Learning of Shifting Objects for Grasping in Cluttered Environments., , and . IROS, page 612-618. IEEE, (2019)Implicit Shape Model Trees: Recognition of 3-D Indoor Scenes and Prediction of Object Poses for Mobile Robots., and . Robotics, 12 (6): 158 (October 2023)TrueAdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space., , , and . CoRR, (2020)Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation., , and . IROS, page 4670-4677. IEEE, (2021)TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space., , and . ICRA, page 4225-4231. IEEE, (2020)Metric-based evaluation of fiducial markers for medical procedures., , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109512O. SPIE, (2019)One-Shot Learning for Task-Oriented Grasping., , , and . IEEE Robotics Autom. Lett., 8 (12): 8232-8238 (December 2023)