IJCAI 2019 Workshop on AIxFood

The tasks of cooking and eating present exciting research and application challenges for AI systems. Research on food preparation, delivery, and consumption build on universal human experiences and address critical human needs. At the same time, successfully developing AI systems for cooking and eating presents many challenges across the spectrum of AI: knowledge representation, machine learning, planning, robotics, assistive technologies, human-computer and human-robot interaction. The AI&Food workshop will include both industry and academic perspectives, and targets researchers and practitioners from any field of AI with an interest in food and cooking.

This workshop is a part of the 2019 International Joint Conferences on Artificial Intelligence (IJCAI-19). The exact date and time of the workshop will be announced here, once available.

Dates

  • Abstract submission deadline: 30 April 2019
  • Acceptance notifications: 7 May 2019
  • Workshop date: August 11 or August 12 (not decided yet)

Invited Speakers

Topics of Interest

The workshop is interested in work on all aspects of AI and food including but not limited to the following topics of interest:

* Planning in the cooking domain for recipe and dish creation

* Classification of dishes, ingredients, and ingredient features (cooking state, quantity, seasoning) from images and videos (computer vision)

* AI and ML in novel recipe generation (computational creativity)

* Knowledge representation for food domain knowledge: recipes, cooking procedure, ingredient interaction, flavour, nutrition, and health facts

* Knowledge extraction for food domain knowledge: ontologies, recipes

* Recipe and food domain knowledge extraction from text (natural language processing)

* Reasoning for changing recipes, dealing with nutritional aspects, health

* Interfaces for monitoring food intake and promoting healthy eating

* Shared autonomy for cooking and eating in the real world

* Interfaces for food related AI systems (HCI)

* Food manipulation and cooking skill learning for robots (robot learning)


Application domains of interest include (but are not limited to):

* Cooking robots

* Assistive feeding robots

* Every day cooking and high-end meal creation

* Recipe retrieval, design and creation

* Cooking for health and sustainability

* Cooking as entertainment

Call for Extended Abstracts

We solicit 2-4 page extended abstracts of past, recently completed or on-going work with contributions to any of the topics above. Extended abstracts are reviewed for suitability by the organizers. If in doubt about whether your extended abstract is in scope for the workshop, please contact us directly. Please format your paper using IJCAI style files.

Submission: 2-4 page extended abstracts

Submission deadline: 30 April 2019

Notification: 7 May 2019

Camera ready: 15 June 2019

Please submit extended abstracts through: https://cmt3.research.microsoft.com/AIXFOOD2019

Organizers

Program Committee

  • Chris Atkeson (Carnegie Mellon University)
  • David Dubois (Kinova Robotics)
  • Laura Herlant (iRobot)
  • Ichiro Ide (Nagoya University)
  • George Kantor (Carnegie Mellon University)
  • Stavroula Mougiakakou (University of Bern)
  • Jan Peters (Technische Universitaet Darmstadt)
  • Manuela Veloso (Carnegie Mellon University)
  • Keiji Yanai (University of Electro-Communications, Tokyo, Japan)
  • Kaoru Yoshida (Sony Computer Science Laboratories Inc.)

Contact

If you have any questions, comments or feedback, please contact Michael Spranger at michael [dot] spranger [at] gmail [dot] com