August 4, 2019

Link to video: https://www.youtube.com/watch?time_continue=3&v=5Fuhk4oKIvY

Human robot collaboration on the shop floor presents a significant set of challenges. In this project we have developed methods for enabling a shop floor mobile robot to assist a human in logisti...

July 23, 2019

'Cleaning up nuclear wast is obviously a task for robots. But designing 'bots that can do that is hard'. This is how the latest article on the National Centre for Nuclear Robotics (NCNR) starts. A good read from The Economist.

Link to the article: https://www.economist....

June 25, 2019

LINK TO PAPER: https://arxiv.org/abs/1906.08381

LINK TO POSTER: https://drive.google.com/open?id=1osPtTC9_zDxhm90epWTHXzcY2Ty7DIKq

Remote manipulation is emerging as one of the key robotics tasks needed in extreme environments. Several researchers have investigated how t...

June 10, 2019

First Joint Workshop of Robotics and Mathematics

This is a multidisciplinary workshop whose purpose is to bring together Robotics and Applied Mathematics at the University of Birmingham. It will open in the morning, with the talks from the Robotics Group led by Professo...

May 14, 2019

Science Trends has recently published a summary of our work. Follow this link for more.

May 14, 2019

The 16th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2019) [Toronto, Canada, June 24–28] is a bi-annual appointment on theoretical and experimental issues in the fields of Rehabilitation Robotics and Neuroscience applied to Healthcare. Pros...

May 14, 2019

As robots make their way into our homes, the ability to predict how their actions affect the environment is a key skill that they need to possess to operate in safety and gain our trust.

In this work, we review the robotic pushing literature. While focusing on work conc...

August 15, 2018

The hype about sensorimotor learning is currently reaching high fever, thanks to the latest advancement in deep learning. In this paper, we present an open-source framework for collecting large-scale, time-synchronised synthetic data from highly disparate sensory modal...

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Feature-Based Transfer Learning for Robotic Push Manipulation