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Inclusive Robotics for a better Society

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Month: May 2019

Research on robots taxation systems

Research on robots taxation systems

Álvaro Falcón Pulido (UCM team member) participated in the second edition of PhDay Law, that was held on May 28th. He presented his first ideas on Tax and Robotics, his thesis under supervision of Prof. Grau Ruiz. His presentation explored

Jaime Lara 30 May, 201917 June, 2019 Legal Ethics & socioeconomic, News Read more

THE IMPORTANCE OF ETHICS IN THE WORLD OF AI AND ROBOTICS

THE IMPORTANCE OF ETHICS IN THE WORLD OF AI AND ROBOTICS

By María Amparo Grau Ruiz  Complutense University of Madrid In this stage of hasty transition in which we live, in which more and more artefacts are used for mechanical and other relatively intelligent tasks, we must stop – if only

Jaime Lara 14 May, 201917 June, 2019 Legal Ethics & socioeconomic, News Read more

INBOTS is presented at the law school of Maynooth University

INBOTS is presented at the law school of Maynooth University

On April the 30th, Prof. Enrico Bonadio, from thy City Law School, our Project parnert working on Intellectual Property Regulations affecting Interactive Robotics, atended the law school of Maynooth University where he expanded on the Intellectual Property aspects of robotics and artificial intelligence. During

Jaime Lara 7 May, 201917 June, 2019 Intelectual Property Rights, News Read more

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Latest news

  • New methods to prevent, investigate and mitigate tax crime in the EU 26 January, 2021
  • One approach to include horizontal aspects in standardisation could be through the funding of European research projects with a Technology Readiness Level of six or higher 4 December, 2020
  • Health care includes advanced robots that have been used for a while such as robotized assistance for surgery and robots for social care 28 October, 2020
  • Where robotic solutions can do a better job than humans, there are good opportunities. 26 October, 2020
  • When does AI become a producer & consumer of Copyright? 5 October, 2020

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780073

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