• Submission deadline: June 7 2021 AoE
  • Notification: July 7 2021 AoE

Call for Demonstrations

The System Demonstrations and Exhibits program at ICAPS 2021 provides an opportunity for planning and scheduling researchers and practitioners to demonstrate their state-of-the-art implementations in action. This event allows the community to experience some of the latest contributions to the field while broadening the reach of novel methods.

Researchers from all sub-areas of AI planning and scheduling are encouraged to submit proposals to demonstrate their systems. Submissions will be evaluated based on their novelty; scientific or industrial contributions' relevance to the conference theme and participants; and presentation. We welcome submissions that demonstrate novel techniques for automated planning and scheduling, as well as commercial, mature systems, and innovative applications recently deployed or in development that rely on automated planning and scheduling in a significant way. Tools for teaching planning or scheduling are also relevant.

There will be an award for Best System Demonstration.


Potential exhibitors should submit their applications via EasyChair and select the ICAPS 2021 Demo Track. The submission should contain the following:

An extended abstract of no more than 2 pages (including references) using the latest AAAI template. This should include the title of the proposed demonstration, the list of authors and their affiliations, and an abstract of up to 250 words. It should describe the technical content of the demonstration, with the appropriate credits and references. The abstract must include a link to a video file no more than 10 minutes long, hosted on a public service that allows streaming or downloading. The video of the demonstration is as important as the extended abstract for evaluating the suitability and merit of the proposed demonstration.

A description of any non-standard hardware or software requirements or other requested logistical arrangements (within the confines of a virtual conference).

The extended abstracts for accepted demonstrations will be available to conference participants and will be archived on the conference website.


Tathagata Chakraborti | IBM Research AI | Contact: tchakra2 at ibm.com
Hang Ma | Simon Fraser University