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Found 8 papers, 1 papers with code
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.
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
The teacher world model then supervises a student world model that takes the domain-randomised image observations as input.
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
We introduce BioDEX, a large-scale resource for Biomedical adverse Drug Event Extraction, rooted in the historical output of drug safety reporting in the U. S. BioDEX consists of 65k abstracts and 19k full-text biomedical papers with 256k associated document-level safety reports created by medical experts.
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments
In this work, we propose a system for efficient skill acquisition that leverages an object-centric generative model (OCGM) for versatile goal identification to specify a goal for MP combined with RL to solve complex manipulation tasks in obstructed environments.
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space
Motion planning framed as optimisation in structured latent spaces has recently emerged as competitive with traditional methods in terms of planning success while significantly outperforming them in terms of computational speed.
Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design
The second, an indirect method, utilises CPPN-NEAT.
Quantifying the Reality Gap in Robotic Manipulation Tasks
We quantify the accuracy of various simulators compared to a real world robotic reaching and interaction task.
Robotics
Towards the Targeted Environment-Specific Evolution of Robot Components
This research considers the task of evolving the physical structure of a robot to enhance its performance in various environments, which is a significant problem in the field of Evolutionary Robotics.
