no code implementations • 7 Jul 2022 • Laura Londoño, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada
In this work, we present the first survey on fairness in robot learning from an interdisciplinary perspective spanning technical, ethical, and legal challenges.
no code implementations • 5 Feb 2022 • Laura Londoño, Adrian Röfer, Tim Welschehold, Abhinav Valada
As robotic systems become more and more capable of assisting humans in their everyday lives, we must consider the opportunities for these artificial agents to make their human collaborators feel unsafe or to treat them unfairly.
no code implementations • 7 Jan 2021 • Juana Valeria Hurtado, Laura Londoño, Abhinav Valada
The exponentially increasing advances in robotics and machine learning are facilitating the transition of robots from being confined to controlled industrial spaces to performing novel everyday tasks in domestic and urban environments.