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Efficient Robotic Grasping in Unstructured Environments.. ETH Zurich, Zürich, Switzerland, (2022)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/597371).Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning., , , , , and . ICRA, page 1646-1652. IEEE, (2022)Go Fetch: Mobile Manipulation in Unstructured Environments., , , , , , , , , and . CoRR, (2020)Efficient Multi-scale POMDPs for Robotic Object Search and Delivery., , , , , and . ICRA, page 6585-6591. IEEE, (2021)Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning., , , , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 1312-1325. PMLR, (2020)Closed-Loop Next-Best-View Planning for Target-Driven Grasping., , , and . IROS, page 1411-1416. IEEE, (2022)Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter., , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 1602-1611. PMLR, (2020)Object Finding in Cluttered Scenes Using Interactive Perception., , , , , and . ICRA, page 8338-8344. IEEE, (2020)Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator., , , , , , , , and . CASE, page 1373-1379. IEEE, (2019)