Topics of Interest

This workshop addresses researchers from logistics that utilize and develop AI approaches as well as researchers from AI that apply their work in logistics or see possibilities to connect to logistic problems or methods.

We encourage contributions from the following research and application areas:

Possible Research Areas: Possible Application Areas:
  • Coordination in Space and Time
  • Knowledge Representation and Reasoning
  • Multi Modal Interaction
  • Cognitive Robotics
  • Cognitive Modeling
  • Spatial and Temporal Reasoning
  • Ontologies
  • Logic and Constraint Programming
  • Ambient Intelligence
  • Planning and Scheduling
  • Multi Agent Systems
  • Data Mining
  • Case-Based Reasoning
  • Machine Learning
  • Human-machine Interfaces
  • ...
  • Transport logistics
  • Production planning and control
  • Assembly and disassembly
  • Process modeling and monitoring
  • Process planning
  • Intelligent manufacturing systems
  • Production Scheduling
  • Inventory organization and optimization
  • Automated inspection and quality control
  • Supply chain management
  • Traffic management
  • ...

A special focus will be given to applying AI techniques in order to integrate and interact with humans within the logistic process, may they be users, system designers, analysts, or other stakeholders. Intelligent logistic systems will instruct users; they communicate and explain their situation and reasoning upon demand; they notify managers about anomalies or in case of an emergency; they engage in clarification dialogs upon misunderstandings. The better the human interface becomes, the more we expect logistic scenarios to become re-populated by users such that shared human-machine scenarios may benefit from human expertise and intelligence while operators are relieved from tedious automated routine. This way we move from a de-centralized view of cooperating autonomous units to an “emancipated” society of logistic units interacting among themselves and with human agents. We explicitly encourage submissions that tackle this challenge.