Welcome to the Intelligent Hybrid Robotics Lab at the University of York. We aim to design, develop, and apply novel robotics solutions to current challenges. We also aim to realise a future that will enable safe robots in human-shared environments.
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To realise our aim, our research focuses on discovering and making progress in the following technologies,
Novel sensors: We design novel sensors and sensing solution and their applications in robotic proprioception, human-robot interaction and novel interface devices.
Robotic control: We design and apply state-of-the-art control techniques for soft/rigid robots. This includes the application of modern model-based control such as Model Predictive Control (MPC) and more established classical control methods, including Sliding Mode Control (SMC), and distributed PID Controllers.
Applied Machine Learning: we apply machine learning for sensor fusion, regression, and decoupling multi-modal sensors. Â We also use machine learning to enhance control performance of modern robots.
Novel Grippers: we develop novel grippers with proprioception for grasping applications in extreme environments.
Hybrid Robots: we design, develop and control next-generation robots with soft and rigid properties.
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