We present TELESIM, a modular and plug-and-play framework for direct
tel...
As the size of Large Multi-Modal Models (LMMs) increases consistently, t...
State-of-the-art image models predominantly follow a two-stage strategy:...
Vision Transformers have been incredibly effective when tackling compute...
Due to the high dimensionality of object states, a garment flattening
pi...
Simulation software is a powerful tool for robotics research, allowing t...
In this paper, we propose to predict the physics parameters of real fabr...
We present in this paper a Garment Similarity Network (GarNet) that lear...
Deep Reinforcement Learning (DRL) is emerging as a promising approach to...
While humans are aware of their body and capabilities, robots are not. T...
We present an approach to continuous perception for robotic laundry task...
We present an introspective framework inspired by the process of how hum...
We present a behaviour-based reinforcement learning approach, inspired b...
This paper proposes a single-shot approach for recognising clothing
cate...
This paper presents a novel robot vision architecture for perceiving gen...
To provide insight into cloth perception and manipulation with an active...