El Programa de Doctorado en Ingeniería Industrial organiza, del 18 al 20 de junio (de 9:00hrs. a 11:00hrs.) un curso sobre metodologías de planificación y ejecución para robots autónomos basadas en Inteligencia Artificial. Tendrá lugar en el Seminario del DISA, EII (Sede Mergelina) y será impartido por Alberto Finzi (Associate Professor, University of Naples "Federico II").
Los estudiantes de doctorado que quieran un certificado de asistencia deberán inscribirse enviando un correo electrónico a jaime.duque@uva.es y deberán firmar en el control de asistencia.
Sobre el curso
Planning and executing complex tasks is a fundamental challenge for autonomous and interactive robotic systems. Structured and goal-oriented behavior requires integrated planning and execution capabilities across multiple levels of abstraction. This course presents and discusses various AI-based planning and execution methodologies for autonomous robots. It covers key techniques and their associated architectural paradigms, highlighting their advantages and limitations. The course first introduces classical, temporal, and hierarchical approaches, then presents methods for integrated planning and scheduling, plan monitoring and execution, and combined task and motion planning. Further topics include the interaction between planning and learning, collaborative task execution, and a discussion of open research challenges in robotic autonomy.
Sobre Alberto Finzi
Alberto Finzi is an Associate Professor at the University of Naples "Federico II", where he works at the PRISMA Lab and is responsible for the AI and Cognitive Robotics research area. He is Associate Editor of the Journal of Intelligent Service Robotics and coordinates the Robotics Working Group of the Italian Association for Artificial Intelligence (AIxIA). His research focuses on autonomous robotics, task and motion planning, execution monitoring, learning, and human-robot interaction.