PlanRob: Planning and Robotics

Co-located workshop at ICAPS 2025
Melbourne, Australia
November 10-11, 2025

Description

AI Planning & Scheduling (P&S) methods are key to enabling intelligent robots to perform autonomous, flexible, and interactive behaviours. Researchers in the P&S community have continued to develop approaches and produce planners, representations, as well as heuristics that robotics researchers can make use of. However, there remain numerous challenges complicating the uptake, use and successful integration of P&S technology in robotics, many of which have been addressed by robotics researchers with novel solutions. Strong collaboration and synergy between researchers in both communities is vital to the continued growth of the fields in a way that provide mutual benefits to the two communities. To foster this, the PlanRob workshop aims to provide a stable, long-term forum (having been held annually at ICAPS since 2013) where researchers from both the P&S and Robotics communities can openly discuss relevant issues, research and development progress, future directions and open challenges related to P&S when applied to Robotics. In addition to the usual paper submissions, the workshop’s format naturally lends itself to preliminary results, position papers as well as to work focused on challenges in using and integrating planners in robotics systems.

Topics of interest

Topics of interest include (but are not limited to):

  • human-aware planning and execution in human-robot interaction,
  • real-world planning applications for autonomous and intelligent robots,
  • planning domain representations for robotics applications,
  • optimising behaviour in large scale automated or semi-automated systems,
  • integrated planning and execution in robot architectures,
  • learning methods for robot planning and scheduling,
  • P&S methods for optimisation and adaptation in robotics,
  • mission, path, and motion planning for robots,
  • formal methods for robot planning and control,
  • challenges and solutions in using P&S technology in robotics,
  • open problems for P&S in robotics,
  • coordination of multi-robot teams,
  • benchmark planning domains for robots,
  • adversarial action planning in competitive robot domains,
  • mixed-initiative planning and sliding autonomy for robotic systems.

Important Dates

  • Paper submission: June 30, 2025
  • Notification: July 20, 2025
  • Workshop: November 11, 2025

Submission

There are two types of submissions:

  • short position papers (four pages)
  • regular papers (up to 10 pages)

Papers may have an additional page containing references. Regular papers may be scheduled with more time in the final program. A poster session may be considered to provide a further presentation opportunity.

The guidelines for formatting are the same as is used for ICAPS 2025 papers (typeset in the AAAI style as described at: http://www.aaai.org/Publications/Author/author.php), but with the AAAI copyright removed. The papers must be submitted in PDF format via the EasyChair system (https://easychair.org/conferences/?conf=icapswsplanrob25).

Please note that papers under review (e.g. which have been submitted to IJCAI-2025) are also welcome, however, in order to avoid potential conflicts, these manuscripts should be prepared as anonymous submissions for a double blind reviewing process.

Accepted papers will be published on the workshop’s website.

The organisers are investigating the availability of journal editors in order to invite a selection of accepted papers from the workshop to a special issue or post-proceedings volume.

Workshop Committee

Organizing Committee

Program Committee

  • Zlatan Ajanovic, TU Delft
  • Iman Awaad, Bonn Rhein Sieg University of Applied Sciences
  • Roman Barták Charles University
  • Ronen Brafman Ben-Gurion University
  • Riccardo Caccavale Università degli studi di Napoli Federico II
  • Magí Dalmau Moreno Universitat Pompeu Fabra
  • Riccardo De Benedictis CNR - National Research Council of Italy
  • Alberto Finzi Universita’ di Napoli Federico II
  • Nick Hawes University of Oxford
  • Jane Jean Kiam Universität der Bundeswehr München
  • Senka Krivic University of Sarajevo
  • Oscar Lima German Research Center for Artificial Intelligence - DFKI
  • Tim Niemueller Intrinsic Innovation GmbH
  • Andrea Orlandini CNR
  • Ron Petrick Heriot-Watt University
  • Sebastian Stock German Research Center for Artificial Intellegence, DFKI
  • Elisa Tosello Fondazione Bruno Kessler
  • Alessandro Umbrico National Research Council of Italy (CNR-ISTC)
  • Pulkit Verma Massachusetts Institute of Technology