Identifying the physical properties of the surround ing environment is essential for robotic locomotion and naviga tion to deal with non-geometric hazards, such as slippery and deformable terrains. It would be of great benefit for robots to anticipate these extreme physical properties before contact; however, estimating environmental physical parameters from vision is still an open challenge. Animals can achieve this by using their prior ...

Rotating filter membranes can increase the long term filtrate flux by efficiently and continuously removing the retained particles on a microfiltration membrane. However, the practical implementation of rotating machinery in high purity applications such as biotechnological manufacturing of proteins raises concerns about the contamination of the process fluids due to submerged bearings and imperfect sealings to the outside environment. ...

Marine-based salmon farming faces a significant challenge in the management of sea lice infestations, particularly in high-density production areas. Multiple strategies have been employed on salmon farms to prevent and treat sea lice infestations, but they have widely varied in their effectiveness in reducing infestations and their associated impact on the marine environment and fish welfare. Typically, cost and effectiveness are crucial ...

The formation of power peaks caused by the stochastic nature of the electric vehicles (EVs) charging process is raising concerns related to the stability of the power grid. In this work, we consider an EV charging station equipped with a hydrogen-based energy storage system (HESS) and on-site renewable power generation, and we offer an experimental demonstration of its potential in reducing the power peak of the EV charging station, despite ...

Identifying suitable kinetic models for bioprocesses is a complex task, particularly when interpretable models are sought. Classical machine learning algorithms are gaining wide interest to simulate complex bioprocesses that are hard to describe via first principles. However, they often rely on a priori assumptions of the model structure and lead to mathematical expressions that are hard to interpret. In this work, we apply an alternative ...