Showing 1–18 of 18 results
/ Date/ Name
Mar 4, 2024Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin PickingSep 21, 2023Uncertainty-driven Exploration Strategies for Online Grasp LearningAug 31, 2023SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded ObjectsAug 1, 2023DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered ScenesNov 20, 2022Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning ApproachOct 18, 2022Deep Black-Box Reinforcement Learning with Movement PrimitivesMay 23, 2022Meta-Learning Regrasping Strategies for Physical-Agnostic ObjectsMar 9, 2022What Matters For Meta-Learning Vision Regression Tasks?Feb 28, 2022Hierarchical Policy Learning for Mechanical SearchNov 2, 2021A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion PrimitivesAug 3, 2021Non-local Graph Convolutional Network for joint Activity Recognition and Motion PredictionJun 10, 2021Differentiable Robust LQR LayersJun 8, 2021Residual Feedback Learning for Contact-Rich Manipulation Tasks with UncertaintyJan 22, 2021Differentiable Trust Region Layers for Deep Reinforcement LearningOct 29, 2020Bayes-Adaptive Deep Model-Based Policy OptimisationFeb 20, 2020Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO SystemsMay 11, 2018Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision ProcessesApr 13, 2018Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features