Improving Naturalness and Intelligibility of Text-to-Speech Systems
The latest generation of speech synthesis techniques has recently increased the quality of Text-To-Speech (TTS) systems as regarding the...
Efficient Human-like Dexterous Grasping under Uncertainty for Robotics
Imagine that you are reaching into the fridge to grasp an object you can only partially see. Rather than relying solely on vision, you...
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...
Selected finalist for the Best Student Paper award at ICORR 2019
The 16th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2019) [Toronto, Canada, June 24–28] is a bi-annual...
Towards Robots that We can Trust
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...
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...
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...
