4 citations · 6 across the 13 of their papers we have counts for
13 papers
Masked Generative Policy for Robotic Control
Lipeng Zhuang, Shiyu Fan, Florent P. Audonnet +4
We present Masked Generative Policy (MGP), a novel framework for visuomotor imitation learning. We represent actions as discrete tokens, and train a conditional masked transformer…
Is Task-Specific Training Necessary for Anomaly Detection?
Xingwu Zhang, Guanxuan Li, Paul Henderson +2
Current state-of-the-art multi-class unsupervised anomaly detection (MUAD) methods rely on training encoder--decoder models to reconstruct anomaly-free features. However, we argue…
3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing
Paul McHard, Florent P. Audonnet, Oliver Summerell +3
Surface defects are a primary source of yield loss in manufacturing, yet existing anomaly detection methods often fail in real-world deployment due to limited and unrepresentative…
Curio: A Cost-Effective Solution for Robotics Education
Talha Enes Ayranci, Florent P. Audonnet, Gerardo Aragon-Camarasa +2
Student engagement is one of the key challenges in robotics and artificial intelligence (AI) education. Tangible learning approaches, such as educational robots, provide an effecti…
Benchmarking machine learning models for predicting aerofoil performance
Oliver Summerell, Gerardo Aragon-Camarasa, Stephanie Ordonez Sanchez
This paper investigates the capability of Neural Networks (NNs) as alternatives to the traditional methods to analyse the performance of aerofoils used in the wind and tidal energy…
Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?
Yingdong Ru, Lipeng Zhuang, Zhuo He +2
This paper presents a rigorous evaluation of Real-to-Sim parameter estimation approaches for fabric manipulation in robotics. The study systematically assesses three state-of-the-a…
Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval
Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa +2
Interactive Text-to-image retrieval (I-TIR) is an important enabler for a wide range of state-of-the-art services in domains such as e-commerce and education. However, current meth…
Breaking Down the Barriers: Investigating Non-Expert User Experiences in Robotic Teleoperation in UK and Japan
Florent P Audonnet, Andrew Hamilton, Yakiyasu Domae +2
Robots are being created each year with the goal of integrating them into our daily lives. As such, there is an interest in research in evaluating the trust of humans toward robots…
Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation
Lipeng Zhuang, Shiyu Fan, Yingdong Ru +3
We present Flat'n'Fold, a novel large-scale dataset for garment manipulation that addresses critical gaps in existing datasets. Comprising 1,212 human and 887 robot demonstrations…
IMMERTWIN: A Mixed Reality Framework for Enhanced Robotic Arm Teleoperation
Florent P. Audonnet, Ixchel G. Ramirez-Alpizar, Gerardo Aragon-Camarasa
We present IMMERTWIN, a mixed reality framework for enhance robotic arm teleoperation using a closed-loop digital twin as a bridge for interaction between the user and the robotic…
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Zijun Long, George Killick, Lipeng Zhuang +3
State-of-the-art pre-trained image models predominantly adopt a two-stage approach: initial unsupervised pre-training on large-scale datasets followed by task-specific fine-tuning…
Foveation in the Era of Deep Learning
George Killick, Paul Henderson, Paul Siebert +1
In this paper, we tackle the challenge of actively attending to visual scenes using a foveated sensor. We introduce an end-to-end differentiable foveated active vision architecture…
TELESIM: A Modular and Plug-and-Play Framework for Robotic Arm Teleoperation using a Digital Twin
Florent P Audonnet, Jonathan Grizou, Andrew Hamilton +1
We present TELESIM, a modular and plug-and-play framework for direct teleoperation of a robotic arm using a digital twin as the interface between the user and the robotic system. W…