Massimo Paolucci
Papers
7
Total Citations
80
H-Index
3
About
Massimo Paolucci is a leading researcher in the field of robotics, with a primary focus on the automated design and optimization of large-scale artificial skin for humanoid robots. His work addresses the critical challenge of equipping robots with a sense of touch, which is essential for safe and dexterous interaction with the world. Paolucci’s major contributions lie in developing computational methods to automate the complex, multi-stage process of robot skin design—from customizing skin shape to fit different robot bodies, to solving the NP-hard problem of optimally routing thousands of wires from tactile sensors to microcontrollers. His most cited work (30 citations) introduces automated procedures for skin deployment, while his series of papers on Ant Colony Optimization (e.g., 27 and 13 citations) provide heuristic solutions for the wiring problem, significantly advancing the feasibility of tactile sensing for humanoid robots. Paolucci’s research has been experimentally validated, demonstrating practical pathways to creating scalable, cost-effective robotic skins. His achievements are foundational for the next generation of robots that can safely and intuitively collaborate with humans.
Research Focus
Key Achievements
Top Papers
- 1On the Problem of the Automated Design of Large-Scale Robot Skin30 citations · 2013
- 2Information-based multi-agent exploration27 citations · 2003
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