Chiara Castellani
Papers
2
Total Citations
9
H-Index
2
About
Chiara Castellani is a rising researcher in human-robot interaction and multi-robot systems, whose work focuses on reducing the cognitive burden of operators and enabling safer physical collaboration. Her most cited paper (2024, 5 citations) introduces a data-driven shared control approach that dynamically adjusts autonomy to lower cognitive load when teleoperating robot swarms—a critical challenge for fields like environmental monitoring and medicine. In a second highly cited work (2024, 4 citations), she pioneers a vision-based, soft handover pipeline using open-palm gestures instead of rigid grippers, enhancing safety and naturalness in human-robot object transfer. These contributions demonstrate her ability to tackle both the cognitive and physical dimensions of human-robot teamwork. Though early in her career, Castellani’s research has already garnered attention for its practical, human-centered design, and her work on soft handovers represents a notable step toward more intuitive and trustworthy collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Soft Human-Robot Handover Using a Vision-Based Pipeline4 citations · 2024