research
∙
05/17/2023
Crossing the Reality Gap in Tactile-Based Learning
Tactile sensors are believed to be essential in robotic manipulation, an...
share
research
∙
03/04/2023
Prismer: A Vision-Language Model with An Ensemble of Experts
Recent vision-language models have shown impressive multi-modal generati...
research
∙
12/12/2022
Where To Start? Transferring Simple Skills to Complex Environments
Robot learning provides a number of ways to teach robots simple skills, ...
research
∙
10/31/2022
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter
Neural fields can be trained from scratch to represent the shape and app...
research
∙
10/05/2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
We introduce the first work to explore web-scale diffusion models for ro...
research
∙
08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
research
∙
04/06/2022
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning
We present DOME, a novel method for one-shot imitation learning, where a...
research
∙
02/07/2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Understanding the structure of multiple related tasks allows for multi-t...
research
∙
11/25/2021
Back to Reality for Imitation Learning
Imitation learning, and robot learning in general, emerged due to breakt...
research
∙
11/14/2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
In this work, we introduce a novel method to learn everyday-like multi-s...
research
∙
11/04/2021
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
Robots that arrange household objects should do so according to the user...
research
∙
11/01/2021
Learning Eye-in-Hand Camera Calibration from a Single Image
Eye-in-hand camera calibration is a fundamental and long-studied problem...
research
∙
09/15/2021
Hybrid ICP
ICP algorithms typically involve a fixed choice of data association meth...
research
∙
05/24/2021
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace
When training control policies for robot manipulation via deep learning,...
research
∙
05/13/2021
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
We introduce a simple new method for visual imitation learning, which al...
research
∙
04/09/2021
Bootstrapping Semantic Segmentation with Regional Contrast
We present ReCo, a contrastive learning framework designed at a regional...
research
∙
02/22/2021
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
Reinforcement learning (RL) has demonstrated great success in the past s...
research
∙
11/18/2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination
One of the main issues in Imitation Learning is the erroneous behavior o...
research
∙
11/13/2020
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Domain randomisation is a very popular method for visual sim-to-real tra...
research
∙
08/15/2020
Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics
Zero-shot sim-to-real transfer of tasks with complex dynamics is a highl...
research
∙
08/07/2020
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
Dexterous manipulation of objects in virtual environments with our bare ...
research
∙
08/03/2020
Shape Adaptor: A Learnable Resizing Module
We present a novel resizing module for neural networks: shape adaptor, a...
research
∙
04/01/2020
Constrained-Space Optimization and Reinforcement Learning for Complex Tasks
Learning from Demonstration is increasingly used for transferring operat...
research
∙
03/31/2020
Sim-to-Real Transfer for Optical Tactile Sensing
Deep learning and reinforcement learning methods have been shown to enab...
research
∙
01/25/2019
Self-Supervised Generalisation with Meta Auxiliary Learning
Learning with auxiliary tasks has been shown to improve the generalisati...
research
∙
03/28/2018
End-to-End Multi-Task Learning with Attention
In this paper, we propose a novel multi-task learning architecture, whic...
research
∙
05/17/2017
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery
Robotic surgery has become a powerful tool for performing minimally inva...
research
∙
09/13/2016
3D Simulation for Robot Arm Control with Deep Q-Learning
Recent trends in robot arm control have seen a shift towards end-to-end ...
research
∙
08/07/2016
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
This paper presents a new method for parallel-jaw grasping of isolated o...
research
∙
05/26/2016
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
A multi-view image sequence provides a much richer capacity for object r...
research
∙
01/19/2016
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors
In this paper we propose a new approach for learning local descriptors f...
research
∙
04/28/2015
