Planning and Deliberation with PDDL
13:00 - 14:00 – Francisco Javier Rodriguez Lera
Lecture description: This session motivates deliberative planning in autonomous robotics by contrasting it with reactive control. It then introduces the principles of automated planning and the syntax of PDDL — covering domains, problems, predicates, actions, durative actions, and planning pipelines — illustrated with practical modelling examples from service robotics.
- Session materials:
Bio Francisco J. Rodríguez received his Ph.D. degree in intelligent systems for engineering in 2015 from the School of Industrial Engineering and Information Technology at University of León (Spain). Currently, he is working as a researcher in the University of León (Spain) after to stay two years as a research associate in the AI Robolab, which belongs to the Computer Science and Communications Research Unit (CSC) at University of Luxembourg.
His work and research interest lie on five different topics associated with AI and Robotics: - cybersecurity in Autonomous Systems, in particular in Social Robots for Public Spaces - cognitive architectures motivational-oriented for robot control generating natural behaviors in autonomous robots - software development and DevOps for delivering solutions in research and business scenarios - application of AI and robots solutions for home-like environments and public spaces - artificial neural networks systems applied to context-awareness in human-robot interaction environments.