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Fixed typos in workshop description and instructions
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content/program/workshops/planrob.md

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## Aim and Scope of the Workshop
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AI Planning & Scheduling (P&S) methods are crucial to enabling intelligent robots to perform autonomous, flexible, and interactive behaviors, but they must be tightly integrated into the overall robot architecture in order to be effective. This requires strong collaboration between researchers from both the AI and the Robotics communities. To foster this, the workshop aims to provide a stable, long-term forum where researchers from both the P&S and Robotics communities can openly discuss relevant issues such as research and development progress, future directions, and open challenges related to P&S when applied to Robotics.Recent advances in large-scale learning models, multimodal perception, and whole-body robotic systems are reshaping the landscape of planning and execution. The 2026 edition of PlanRob explicitly aims to address these emerging challenges, with a focus on integrating symbolic, geometric, and learning-based approaches for robust, scalable, and adaptive robot autonomy.
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AI Planning & Scheduling (P&S) methods are crucial to enabling intelligent robots to perform autonomous, flexible, and interactive behaviors, but they must be tightly integrated into the overall robot architecture in order to be effective. This requires strong collaboration between researchers from both the AI and the Robotics communities. To foster this, the workshop aims to provide a stable, long-term forum where researchers from both the P&S and Robotics communities can openly discuss relevant issues such as research and development progress, future directions, and open challenges related to P&S when applied to Robotics. Recent advances in large-scale learning models, multimodal perception, and whole-body robotic systems are reshaping the landscape of planning and execution. The 2026 edition of PlanRob explicitly aims to address these emerging challenges, with a focus on integrating symbolic, geometric, and learning-based approaches for robust, scalable, and adaptive robot autonomy.
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- Camera-Ready Deadline: June 5, 2026
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- ICAPS 2026 Workshops: June 28-29, 2026
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Note that at the date of the submission deadline, all papers need to be registered, which includes all relevant information such as title, abstract, authors, and kind of paper (long, short, etc.). **You will still be able to upload/update your paper until April 3 (AoE).**
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Note that at the date of the submission deadline, all papers need to be registered, which includes all relevant information such as title, abstract, authors, and kind of paper (long, short, ...).
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## Submission Instructions
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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.
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The guidelines for formatting are the same as is used for ICAPS 2026 papers as described at: [http://www.aaai.org/Publications/Author/author.php](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=icapswsplanrob24](https://easychair.org/conferences/?conf=icapswsplanrob26)).
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The guidelines for formatting are the same as is used for ICAPS 2026 papers as described at: [http://www.aaai.org/Publications/Author/author.php](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=planrob26](https://easychair.org/conferences/?conf=planrob26)).
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Please note that papers under review (e.g. which have been submitted to IJCAI-2026) are also welcome, however, in order to avoid potential conflicts, these manuscripts should be prepared as anonymous submissions for a double blind reviewing process.
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- Jonathan Cacace (EURECAT, Spain)
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- Riccardo Caccavale (Naples University, Italy)
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- Michael Cashmore (University of Strathclyde, UK)
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- Riccardo De Benedictis  (CNR-ISTC, Italy)
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- Riccardo De Benedictis (CNR-ISTC, Italy)
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- Alberto Finzi (Naples University, Italy)
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- Nick Hawes (University of Oxford, UK)
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- Felix Ingrand (LAAS-CNRS, France)
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- Erez Karpas (Technion, Israel)
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- Matteo Leonetti (King’s College, UK)
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- Oscar Lima (DFKI, Germany)
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- Masoumeh Mansouri  (University of Birmingham, UK)
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- Masoumeh Mansouri (University of Birmingham, UK)
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- Tim Niemuller (Intrinsic, Germany)
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- Andrea Orlandini (CNR-ISTC, Italy)
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- Ron Petrick (Heriot-Watt University, UK)

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