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Merge pull request #27 from iawaad/PlanRobv2
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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- 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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