Beatrice Luciani
Papers
9
Total Citations
123
H-Index
5
About
Beatrice Luciani is a leading researcher in rehabilitation robotics, specializing in the design and control of upper-limb exoskeletons for post-stroke and neurological rehabilitation. Her most impactful work introduces the AGREE exoskeleton—a compliant-controlled robotic platform that combines lightweight mechatronics with adaptive control to deliver personalized therapy. With over 120 cumulative citations, her 2023 AGREE paper (44 citations) and her Technology Acceptance Model study (31 citations) are particularly influential, addressing both technical innovation and the critical barrier of therapist adoption. Luciani has pioneered Learning by Demonstration methods that allow exoskeletons to replicate therapists’ force profiles and movement trajectories, bridging the gap between robotic precision and human clinical intuition. Her recent work on imitation learning using Gaussian Mixture Models and Dynamic Movement Primitives further advances personalized rehabilitation. By integrating therapist perspectives into robotic design and developing force-based human-machine interfaces, Luciani is shaping a future where exoskeletons become trusted, intuitive tools in clinical settings—enhancing both patient outcomes and clinician acceptance.
Research Focus
Key Achievements
Top Papers
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