At CROSS Lab, we promote safety and sustainability in human-robot collaboration in workspaces. We focus on developing learning-based approaches to advance robot technologies and addressing the challenges of their occupational applications in construction, manufacturing, and warehouses. Specific research area includes:
- Human-robot collaboration
- Imitation learning and reinforcement learning
- Computer vision and sensor fusion
- BIM, digital twins, and extended reality
- Energy modeling and energy consumption
