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Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics.

, , and . ICRA, page 1950-1957. IEEE, (2021)

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Incorporating ego-motion uncertainty estimates in range data registration., , , , and . IROS, page 1389-1395. IEEE, (2017)Object-RPE: Dense 3D reconstruction and pose estimation with convolutional neural networks., , and . Robotics Auton. Syst., (2020)Normal Distributions Transform Occupancy Map fusion: Simultaneous mapping and tracking in large scale dynamic environments., , , and . IROS, page 4702-4708. IEEE, (2013)Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics., , and . ICRA, page 1950-1957. IEEE, (2021)Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots., , and . ECMR, page 1-6. IEEE, (2019)Maximum likelihood point cloud acquisition from a mobile platform., and . ICAR, page 1-6. IEEE, (2009)Assisted Telemanipulation: A Stack-Of-Tasks Approach to Remote Manipulator Control., , , , and . IROS, page 1-9. IEEE, (2018)Comparative Evaluation of the Consistency of Three-dimensional Spatial Representations used in Autonomous Robot Navigation., , and . J. Field Robotics, 30 (2): 216-236 (2013)Towards Cooperative and Decentralized Mapping in the Jacobs Virtual Rescue Team., , , , , and . RoboCup, volume 5399 of Lecture Notes in Computer Science, page 225-234. Springer, (2008)Improved local shape feature stability through dense model tracking., , and . IROS, page 3203-3209. IEEE, (2013)