Papers
10
Total Citations
221
H-Index
8
About
Gianluca Massera is a leading researcher in embodied cognitive science and developmental robotics, whose work bridges the gap between neural control, active perception, and linguistic learning in autonomous systems. His most significant contributions center on how simulated humanoid robots—controlled by artificial neural networks—can develop complex manipulation skills, such as reaching, grasping, and lifting objects, through adaptive evolutionary processes. A hallmark of his research is the demonstration that linguistic instructions can facilitate the acquisition of these motor skills, with his seminal 2010 paper on this topic garnering 56 citations. Massera also made foundational contributions to active categorical perception, showing that perception is not a passive internal representation but an active process shaped by action, as evidenced in his highly cited 2010 and 2009 works. He is the principal architect of the FARSA (Framework for Autonomous Robotics Simulation and Analysis) open-source software, a widely used tool that has enabled countless experiments in embodied cognition and adaptive behavior, with related publications accumulating over 40 citations. His involvement in the major ITALK project further underscores his impact, integrating social and linguistic learning into robotic platforms to study human language development.
Research Focus
Key Achievements
Top Papers
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- 5Designing adaptive humanoid robots through the FARSA open-source framework24 citations · 2014
- 6Evolution of prehension ability in an anthropomorphic neurorobotic arm21 citations · 2007
- 7FARSA: An Open Software Tool for Embodied Cognitive Science14 citations · 2013
- 8Active categorical perception in an evolved anthropomorphic robotic arm10 citations · 2009
- 9FARSA: An Open Software Tool for Embodied Cognitive Science5 citations · 2013
- 10EVOLVING A SIMULATED ROBOTIC ARM ABLE TO GRASP OBJECTS3 citations · 2005