Mattia Antonelli
Papers
6
Total Citations
62
H-Index
3
About
Mattia Antonelli is a leading researcher in human-robot collaboration and wearable sensing for Industry 4.0. His work focuses on real-time motion tracking of human upper limbs using Inertial Measurement Units (IMUs) to enhance collaborative robotics in industrial settings. Antonelli’s major contributions include developing methods to fuse spatial and inertial data for accurate motion prediction, enabling reactive robot behaviors that improve worker safety and efficiency. His most-cited paper, “Real-time estimation of upper limbs kinematics with IMUs during typical industrial gestures” (2022), has garnered 29 citations, while his foundational study “Collection and Analysis of Human Upper Limbs Motion Features for Collaborative Robotic Applications” (2020) has 22 citations. He has also explored active joint exoskeletons for trunk support, as seen in his 2022 work. Antonelli’s research is pivotal for advancing human-robot interaction, with applications ranging from manufacturing to rehabilitation. His innovative use of wearable MIMUs (magnetic and inertial measurement units) for motion identification underscores his impact on creating safer, more intuitive collaborative workspaces.
Research Focus
Key Achievements
Top Papers
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- 3Upper Limbs Motion Tracking for Collaborative Robotic Applications4 citations · 2020
- 4Experimental Characterization of Active Joint for Trunk Exoskeleton3 citations · 2022
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