Papers
9
Total Citations
54
H-Index
4
About
Fabio DallaLibera is a robotics researcher whose work bridges soft robotics, human-robot interaction, and biologically inspired control. His key research areas include assistive robotics for elderly care, tactile-based human-robot communication, and bio-inspired control algorithms. DallaLibera made notable contributions to soft robotics with his work on a ray-mimicking soft robot that uses morphological features for adaptive deformation (17 citations), demonstrating how biomimicry can enhance robotic flexibility and resilience. In assistive robotics, he analyzed the biomechanics of sit-to-stand motion assisted by elderly care robots (10 citations), and developed a standing-up assist robot that leverages physiotherapist skills to encourage patient self-reliance (6 citations). His innovative "teaching by touching" approach (6 citations) explores how tactile instructions can intuitively guide humanoid robot motion development, a concept with implications for rehabilitation and physical training. DallaLibera also contributed to biologically inspired control, proposing parameterless algorithms robust to nonlinearities and sensor noise (3 citations each), and deriving minimalistic behavioral rules from bacterial chemotaxis (3 citations). His work consistently emphasizes practical, human-centered applications, from elderly care to intuitive robot teaching, making him a thoughtful contributor to the field of assistive and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
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- 5How do People Expect Humanoids to Respond to Touch?4 citations · 2015
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