Chiara Talignani Landi
Papers
17
Total Citations
908
H-Index
15
About
Chiara Talignani Landi is a robotics researcher whose work sits at the intersection of human-robot interaction, safety-critical control, and adaptive robot behavior. Her research has made substantial contributions to two interconnected domains: admittance control for physical human-robot interaction and the application of control barrier functions (CBFs) to guarantee safety in collaborative robotic environments. Landi's most influential work addresses a fundamental challenge in human-robot collaboration — achieving stable, intuitive interaction without placing undue burden on human operators. Her variable admittance control strategies, which together have accumulated nearly 300 citations, introduced principled methods for adapting robot compliance dynamically, preventing oscillatory instabilities that commonly emerge when humans and robots share physical contact. Complementing this, her research on control barrier functions — including an accessible tutorial published in 2022 — has helped bridge formal safety theory and real-world industrial deployment, notably extending to ISO/TS 15066 compliance without sacrificing robot performance. Beyond pure control theory, Landi has explored affective robotics to reduce operator workload and developed multi-camera tracking systems for safe shared workspaces. Her body of work reflects a consistent commitment to making collaborative robots not only technically robust but practically deployable in industrial settings, earning her considerable recognition within the human-robot interaction research community.
Research Focus
Key Achievements
Top Papers
- 1
- 2Admittance control parameter adaptation for physical human-robot interaction102 citations · 2017
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- 6Safety and Efficiency in Robotics: The Control Barrier Functions Approach69 citations · 2022
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- 10Walk-through Programming for Industrial Applications32 citations · 2017