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D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation
In this work, we propose D-Cubed, a novel trajectory optimisation method using a latent diffusion model (LDM) trained from a task-agnostic play dataset to solve dexterous deformable object manipulation tasks.
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
We present a novel approach to path planning for robotic manipulators, in which paths are produced via iterative optimisation in the latent space of a generative model of robot poses.
Natural Language Processing for Systems Engineering: Automatic Generation of Systems Modelling Language Diagrams
An approach is proposed to assist systems engineers in the automatic generation of systems diagrams from unstructured natural language text.
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