Speaker: Andrea Orlandini, Consiglio Nazionale delle Ricerche - Istituto di Scienze e Tecnologie della Cognizione (ISTC-CNR)
Andrea is a Researcher working at the National Research Council of Italy, Institute of Cognitive Sciences and Technologies (ISTC-CNR), in Rome. He got a degree in Computer Science Engineering and he received his PhD in Computer Science and Automation in 2006 defending the thesis "Logical Based Approaches to Artificial Intelligence Planning and Robot Control" at the Roma Tre University in Rome (Italy). He was a post doc at Laboratoire d'analyse et d'architectures des systèmes, a research laboratory linked with the French National Centre for Scientific Research (LAAS-CNRS). He is currently working in the Planning and Scheduling Technology Lab at ISTC-CNR, investigating safe and robust AI and Robotics solutions. His main research interests span over automated planning, task and motion planning, dependable plan execution and model-based robot control in collaborative robots and assistive technologies.
Modern production systems are increasingly using artificial agents (e.g., robots) of different kinds. Ideally, these agents should be able to perceive the shop floor and recognize Its status, to act optimizing their work toward the achievement of a set of production goals, to change the plan of action when problems arise, and to collaborate/cooperate with other (artificial / human) agents. The development of such an ideal agent in manufacturing presents several challenges.
In this talk, I will provide an overview over a decade of work spent investigating Planning and Scheduling (P&S) issues when dealing with advanced manufacturing systems. Specifically, I will present how P&S can be used to solve sequencing problems for flexible manufacturing systems, a possible integration of P&S with Knowledge Representation and Reasoning solutions to deal with Reconfigurable Manufacturing Systems and, finally, I will present some ongoing research activities in human-aware task and motion planning for collaborative robots.
Meeting ID: 878 4059 9115
Orario inizio: ore 16.00
Modalità partecipazione: Misto (online + presenza in sala verde)
Strada le Grazie 15
Partita IVA 01541040232
Codice Fiscale 93009870234
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