This symposium aims to open discussion on all areas related to high throughput electrode manufacturing, covering both experimental and theoretical aspects. The focus is on methods to accelerate materials discovery for battery electrodes, including but not limited to, robotics and automation, AI and machine learning and high throughput characterisation. Topics such as automation and high throughput techniques for battery research, utilising AI and machine learning for self-driving labs and intelligent experimental design in high throughput, will all be discussed. The symposium is open to all battery chemistries and will feature talks from a range of global institutions, proving a varied perspective on the latest in high throughput and self-driving labs.