LATIDIA · Robótica

En los últimos años, la literatura ha incorporado enfoques multinivel y basados en la madurez, para explicar la variabilidad en el desempeño sostenible.

arXiv:2610.33227v1 Anuncio Tipo: nuevo Resumen: Las últimas décadas han visto una revolución en la robótica autónoma. Los enfoques de aprendizaje profundo y sus implementaciones de hardware han hecho posible dotar a los robots de capacidades adicionales

La noticia

arXiv:2610.33227v1 Announce Type: new Abstract: The last decades have seen a revolution in autonomous robotics. Deep learning approaches and their hardware implementations have made it possible to endow robots with extraordinary perceptual capabilities. In addition, they can also benefit from advances in Automated Planning, allowing them to autonomously solve complex tasks. However, on many occasions, the robot still acts without internalising and understanding the reasons behind a perception or an action, beyond an immediate response to a current state of the context. This gap results in limitations that affect its performance, reliability and trustworthiness. Deep learning alone cannot bridge this gap, because the reasons behind behaviour, when it emanates from