Topic: humanoid robots

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.

Due to the aging population and life digitalization, humanoid robots could be seen as potential community resources to accompany the elderly, support remote work, and improve individuals' mental or physical health. To enhance human-robot interaction, it is essential for robots to become more socialized via processing multiple social cues in a complex real-world environment. Thus, social cues integration and crossmodal conflict resolution are crucial for humanoid robots to implement social interaction. I will present a series of studies to explore the following questions: 1) how human participa