55 citations · 58 across the 5 of their papers we have counts for
5 papers
Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
Kento Kawaharazuka, Jihoon Oh, Jun Yamada +2
Amid growing efforts to leverage advances in large language models (LLMs) and vision-language models (VLMs) for robotics, Vision-Language-Action (VLA) models have recently gained s…
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…
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…
World Models via Policy-Guided Trajectory Diffusion
Marc Rigter, Jun Yamada, Ingmar Posner
World models are a powerful tool for developing intelligent agents. By predicting the outcome of a sequence of actions, world models enable policies to be optimised via on-policy r…
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…