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Learning for Manipulation I

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Paper List

  • Foldsformer: Learning Sequential Multi-Step Cloth Manipulation with Space-Time Attention [Abstract]

  • GraNet: A Multi-Level Graph Network for 6-DoF Grasp Pose Generation in Cluttered Scenes [Abstract]

  • Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System [Abstract]

  • GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation [Abstract]

  • Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects [Abstract]

  • Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation [Abstract]

  • VL-Grasp: A 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes [Abstract]

  • QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation [Abstract]

  • Robust Visual Sim-To-Real Transfer for Robotic Manipulation [Abstract]

  • Multi-Dimensional Deformable Object Manipulation Using Equivariant Models [Abstract]

  • Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks [Abstract]

  • Probabilistic Slide-Support Manipulation Planning in Clutter [Abstract]

  • GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning [Abstract]