An Application Interface for UCHILSIM and the arrival of new challenges

Abstract. UCHILSIM is a robot simulator recently introduced in the RoboCup Four Legged League. A main attractive of the simulator is the possibility of reproducing with accuracy the dynamical behavior of AIBO 1 robots as well as providing good graphical representations of their surroundings on a soccer scenario. Learning over virtual environments can be performed with successful transfers of resulting behaviors to real environments. Previous version of the simulator had a major drawback: Only the UChile1 team could make use of it since the developed system had high dependency on the team code. In this paper we present results of a development work which was envisioned on the first presentation of UCHILSIM; an application interface for allowing any OPEN-R software code to be directly used over the UCHILSIM simulator. The possibility of having this kind of tool opens a great field of developments and challenges since more people will develop OPEN-R software, even without having the robotic hardware but the simulator. Other recent improvements on our simulator are briefly presented here as well.

Towards an ethical robot: Internal models, consequences and ethical action selection

If robots are to be trusted, especially when interacting with humans, then they will need to be more than just safe. This paper explores the potential of robots capable of modelling and therefore predicting the consequences of both their own actions, and the actions of other dynamic actors in their environment. We show that with the addition of an 'ethical' action selection mechanism a robot can sometimes choose actions that compromise its own safety in order to prevent a second robot from coming to harm. An implementation with e-puck mobile robots provides a proof of principle by showing that a simple robot can, in real time, model and act upon the consequences of both its own and another robot's actions. We argue that this work moves us towards robots that are ethical, as well as safe. © 2014 Springer International Publishing

A New Video Rate Region Color Segmentation and Classification for Sony Legged RoboCup Application

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Correction to: Is diet partly responsible for differences in COVID-19 death rates between and within countries? (Clinical and Translational Allergy, (2020), 10, 1, (16), 10.1186/s13601-020-00323-0)

Following publication of the original article [1], the authors identified an error in the affiliation list. The affiliation of author G. Walter Canonica should have been split up into two affiliations: • Personalized Medicine, Asthma and Allergy – Humanitas Clinical and Research Center – IRCCS, Rozzano (MI), Italy • Department of Biomedical Sciences, Humanitas University, Pieve Emanuele (MI), Italy The corrected affiliation list is reflected in this Correction. © 2020, The Author(s)