6 papers
Vision-Based Robotic Disassembly Combined with Real-Time MFA Data Acquisition
Federico Zocco, Maria Pozzi, Monica Malvezzi
Stable and reliable supplies of rare-Earth minerals and critical raw materials (CRMs) are essential for the development of the European Union. Since a large share of these material…
CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zero
Federico Zocco, Andrea Corti, Monica Malvezzi
The demand of finite raw materials will keep increasing as they fuel modern society. Simultaneously, solutions for stopping carbon emissions in the short term are not available, th…
CarboNet: A Finite-Time Combustion-Tolerant Compartmental Network for Tropospheric Carbon Control
Federico Zocco, Wassim M. Haddad, Monica Malvezzi
While governments and international organizations have set the net-zero target to prevent a climate event horizon, practical solutions are lacking mainly because of the impracticab…
CIRO7.2: A Material Network with Circularity of -7.2 and Reinforcement-Learning-Controlled Robotic Disassembler
Federico Zocco, Monica Malvezzi
The competition over natural reserves of minerals is expected to increase in part because of the linear-economy paradigm based on take-make-dispose. Simultaneously, the linear econ…
Circular Economy Design through System Dynamics Modeling
Federico Zocco, Monica Malvezzi
Nowadays, there is an increasing concern about the unsustainability of the take-make-dispose paradigm upon which traditional production and consumption systems are built. The conce…
A Unification Between Deep-Learning Vision, Compartmental Dynamical Thermodynamics, and Robotic Manipulation for a Circular Economy
Federico Zocco, Wassim M. Haddad, Andrea Corti +1
The shift from a linear to a circular economy has the potential to simultaneously reduce uncertainties of material supplies and waste generation. However, to date, the development…