Trust is a foundational requirement for long-term human-robot c-hri.org collaboration. Without trust, users hesitate to rely on robotic systems. Consistent performance and predictable behavior are essential.

Long-term adaptation allows robots to adjust to evolving user needs. Learning from repeated interaction improves accuracy and relevance. Adaptation reduces frustration and increases efficiency.

Transparency in robot behavior strengthens trust development. Users need to understand why robots act in certain ways. Clear communication reduces uncertainty.

Through adaptation and transparency, C-HRI systems evolve into reliable partners. Trust deepens over time through mutual adjustment. This relationship supports sustained collaboration.