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20232025
most citedD-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation

1 citations · 2 across the 5 of their papers we have counts for

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cs.RO2025

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping

Jun Yamada, Alexander L. Mitchell, Jack Collins +1

This paper addresses the challenge of occluded robot grasping, i.e. grasping in situations where the desired grasp poses are kinematically infeasible due to environmental constrain…

cs.RO20241 cited

A Review of Differentiable Simulators

Rhys Newbury, Jack Collins, Kerry He +4

Differentiable simulators continue to push the state of the art across a range of domains including computational physics, robotics, and machine learning. Their main value is the a…

cs.RO20241 cited

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation

Jun Yamada, Shaohong Zhong, Jack Collins +1

Mastering dexterous robotic manipulation of deformable objects is vital for overcoming the limitations of parallel grippers in real-world applications. Current trajectory optimisat…

cs.RO2024

DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins +2

3D scene understanding for robotic applications exhibits a unique set of requirements including real-time inference, object-centric latent representation learning, accurate 6D pose…

cs.RO2023

TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer

Jun Yamada, Marc Rigter, Jack Collins +1

Model-based RL is a promising approach for real-world robotics due to its improved sample efficiency and generalization capabilities compared to model-free RL. However, effective m…