Let's Push Things Forwards
As robots make their way out of factories to work alongside humans, it is crucial that they develop the necessary skills to manipulate...
'Feature-Based Transfer Learning for Robotic Push Manipulation'
Our paper entitled 'Feature-Based Transfer Learning for Robotic Push Manipulation' published in 2018 IEEE International Conference on...
Multisensory Learning Framework for Robot Drumming
The hype about sensorimotor learning is currently reaching high fever, thanks to the latest advancement in deep learning. In this paper,...
Birmingham researchers use artificial intelligence to advance the dexterity of robots
Link to the article about our GPAtlasRRT algorithm for tactile recovering of the shape of novel objects. https://www.birmingham.ac.uk/uni...
Awarded the Ramsay Research Fund
I have been awarded the Ramsay Research Fund to develop a "VR-based Research Framework for Biomedical Applications" By 2020, it is...
2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectorie
Designing robotic assistance devices for manipulation tasks is challenging. This work is concerned with improving accuracy and usability...
Feature-Based Transfer Learning for Robotic Push Manipulation
This work presents a data-efficient approach to learning transferable forward models for robotic push manipulation. Our approach extends...
