Topic: autonomous manufacturing

Develop perception and learning methods for humanoid robots in autonomous manufacturing. The doctorate combines RGB-D data, scene understanding, synthetic data, simulation-to-reality transfer and robot manipulation, with experimental validation on physical platforms. The project is hosted by the Advanced Manufacturing Lab and includes collaboration with researchers and industrial partners. Apply through the ETH online recruitment portal. The vacancy is currently advertised with an active application route; no closing date is stated.

In this talk, Frans Cronje will be speaking about the journey towards autonomous manufacturing. He will demonstrate how artificial intelligence (AI) can be implemented to achieve a reduction in poor quality costs in manufacturing. The talk will showcase the power of applied AI.