Papers

5

Total Citations

42

H-Index

2

About

Maddalena Feder is a researcher at the forefront of modular robotics and assistive technologies, with a focus on enhancing automation and improving quality of life for individuals with motor impairments. Her key research areas include automatic model generation for modular reconfigurable robots and body–machine interfaces for assistive control. Feder’s major contributions include pioneering a unified approach for automatically generating kinematics and dynamics model descriptions for modular robot manipulators, enabling high-performance motion control akin to fixed-structure robots. Her work on automatically creating URDF files from SolidWorks designs streamlines the deployment of modular robots, offering flexibility and rapid recovery from failures. With her most-cited paper garnering 21 citations, Feder’s impact is evident in advancing modular robotics. She has also developed a body–machine interface for assistive robot control in spinal cord injury, with preliminary tests showing promise. Her exploration of implicit prosthesis control from compensatory body motions and semi-autonomous avatars for clinical assistance demonstrates a commitment to practical, human-centered solutions. Feder’s innovative work bridges robotics and rehabilitation, making her a notable figure in both fields.

Research Focus

Key Achievements

2
H-Index
5
Papers
42
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Generation of Kinematics and Dynamics Model Descriptions for Modular Reconfigurable Robot Manipulators
21 citations · 2021
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Fraunhofer Italia Research, University of Pisa, Piaggio (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago