Papers
17
Total Citations
178
H-Index
8
About
Marco Antonelli is a robotics and computational neuroscience researcher whose work bridges biological sensorimotor systems and humanoid robot design. His primary research areas include peripersonal space representation, visuomotor transformations, oculomotor control, and multimodal sensory integration — fields that sit at the intersection of cognitive science and autonomous robotics. Antonelli's most influential contribution, "Implicit Sensorimotor Mapping of the Peripersonal Space by Gazing and Reaching" (2011, 51 citations), demonstrated how coordinated eye-arm movements — a strategy observed in primates and infants — can be used to build implicit visuomotor maps in robotic systems. This foundational insight informed subsequent work on distributed peripersonal space representations in humanoid robots (2014, 26 citations) and on-line learning of visuomotor transformations. His cerebellar-inspired adaptive saccade controller (2015, 17 citations) further highlighted his commitment to biologically plausible robot architectures. Beyond fundamental research, Antonelli has demonstrated applied impact through the SPIRIT framework (2020, 10 citations), a practical software solution for configuring industrial inspection robots. Across more than a decade, his research consistently advances how robots perceive, represent, and interact with their immediate spatial environment, drawing on principles from primate neuroscience to engineer more capable, adaptive autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Adaptive saccade controller inspired by the primates' cerebellum17 citations · 2015
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- 6Implicit mapping of the peripersonal space of a humanoid robot9 citations · 2011
- 7On-Line Learning of the Visuomotor Transformations on a Humanoid Robot9 citations · 2012
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- 9Plastic Representation of the Reachable Space for a Humanoid Robot7 citations · 2012
- 10