Maximiliano Mollura
Papers
1
Total Citations
4
H-Index
1
About
Maximiliano Mollura is a researcher at the forefront of Human-Robot Interaction (HRI), with a particular focus on developing intuitive and safe control strategies for physical collaboration. His work centers on biomimetic adaptive impedance control, a paradigm that allows robotic systems to dynamically adjust their stiffness and damping in response to a human partner’s arm dynamics and motor control strategies. This approach moves beyond traditional teleoperation, where master devices remain oblivious to the user's biomechanical state, toward a more natural, cooperative partnership. Mollura’s key contribution lies in designing controllers that enable robots to “feel” and adapt to human intent in real time, significantly enhancing both safety and performance in shared tasks. His seminal 2018 paper, "Biomimetic adaptive impedance control in physical Human Robot Interaction," has garnered 4 citations, establishing a foundation for subsequent work in the field. By bridging robotics with principles from human motor control, Mollura is helping to shape the next generation of assistive and collaborative robots—machines that are not just tools, but true partners.
Research Focus
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Top Papers
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