no code implementations • 19 Mar 2024 • Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner
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.
no code implementations • 21 Oct 2022 • Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner
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.
no code implementations • 9 Aug 2022 • Shaohong Zhong, Andrea Scarinci, Alice Cicirello
An approach is proposed to assist systems engineers in the automatic generation of systems diagrams from unstructured natural language text.