diff --git a/content/program/workshops/planrob.md b/content/program/workshops/planrob.md index 29fe7a4..7134fa6 100644 --- a/content/program/workshops/planrob.md +++ b/content/program/workshops/planrob.md @@ -1,44 +1,46 @@ --- title: "PlanRob" -date: 2023-02-01T14:30:17+01:00 +date: 2024-01-30T17:34:17+01:00 draft: false --- -# Planning and Robotics (PlanRob 2023) +# Planning and Robotics (PlanRob 2024) -ICAPS'23 Workshop \ -Prague, Czech Republic \ -July 9-10, 2023 +ICAPS'24 Workshop \ +Banff, Alberta, Canada \ +June 2-3, 2024 ## Aim and Scope of the Workshop -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. +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): -- coordination of multi-robot teams, +- human-aware planning and execution in human-robot interaction, - real-world planning applications for autonomous and intelligent robots, -- optimising behaviour in large scale automated or semi-automated systems, -- integrated planning and execution in robotic architectures, - 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, -- human-aware planning and execution in human-robot interaction, -- adversarial action planning in competitive robotic domains, - 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: **March 31, 2023** (was March 24, 2023) -- Notification of acceptance: **April 28, 2023** (was April 21, 2023) -- Camera-ready version due: June 16 -- Workshop Date: July 09-10 +- Paper submission: **March 10, 2024** +- Notification of acceptance: **March 24, 2023** +- Camera-ready version due: **April 21** +- Workshop Date: **June 2-3** The reference time-zone for all deadlines is UTC-12: Your submissions will be on time so long as there is still some place in the world where the deadline has not yet passed. @@ -51,16 +53,16 @@ There are two types of submissions: 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 2023 papers (typeset in the AAAI style 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=planrob23](https://easychair.org/conferences/?conf=planrob23)). +The guidelines for formatting are the same as is used for ICAPS 2024 papers (typeset in the AAAI style 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=icapswsplanrob24)). -Please note that papers under review (e.g. which have been submitted to IJCAI-2023) are also welcome, however, in order to avoid potential conflicts, these manuscripts should be prepared as anonymous submissions for a double blind reviewing process. +Please note that papers under review (e.g. which have been submitted to IJCAI-2024) 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 +[//]: # (## Workshop Committee) ### Organizing Committee @@ -73,55 +75,49 @@ Università di Napoli "Federico II", Italy \ AndreA Orlandini, \ - Institute of Cognitive Sciences and Technologies (ISTC-CNR), Italy \ +Institute of Cognitive Sciences and Technologies (ISTC-CNR), Italy \ -### Program Committee +[//]: # (## Program Committee\) + +[//]: # (Zlatan Ajanovic TU Delft, Netherlands\) + +[//]: # (Roman Barták Charles University, Czech Republic\) + +[//]: # (Riccardo Caccavale Università degli studi di Napoli Federico II, Italy\) + +[//]: # (Gerard Canal King's College London, UK\) + +[//]: # (Nick Hawes University of Oxford, UK\) -Zlatan Ajanovic TU Delft, Netherlands\ -Roman Barták Charles University, Czech Republic\ -Riccardo Caccavale Università degli studi di Napoli Federico II, Italy\ -Gerard Canal King's College London, UK\ -Nick Hawes University of Oxford, UK\ -Felix Ingrand LAAS/CNRS, France\ -Erez Karpas Technion, Israel\ -Oscar Lima German Research Center for Artificial Intelligence - DFKI, Germany\ -Tim Niemueller Intrinsic Innovation GmbH, Germany\ -Ron Petrick Heriot-Watt University, UK\ -Tom Silver Massachusetts Institute of Technology, USA\ -Mohan Sridharan University of Birmingham, UK\ -Charlie Street University of Birmingham, UK\ -Alessandro Umbrico National Research Council of Italy (CNR-ISTC), Italy +[//]: # (Felix Ingrand LAAS/CNRS, France\) -## List of Accepted Papers +[//]: # (Erez Karpas Technion, Israel\) -Magí Dalmau Moreno, Néstor García Hidalgo, Vicenç Gómez and Hector Geffner. Combined Task and Motion Planning Via Sketch Decompositions +[//]: # (Allessandro Umbrico National Research Council of Italy CNR-ISTC, Italy\) -Carlo Weidemann, Hyun-Ji Choi, Ritesh Yadav, Stefan-Octavian Bezrucav and Burkhard Corves. Capability-Based Task Planning for Human-Robot Assembly Stations Employing People with Disabilities +[//]: # (Oscar Lima German Research Center for Artificial Intelligence - DFKI, Germany\) -Elias Goldsztejn, Ronen Brafman and Tal Feiner. PTDRL: Parameter Tuning Using Deep Reinforcement Learning +[//]: # (Tim Niemueller Intrinsic Innovation GmbH, Germany\) -Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Emilio Gerevini and Paolo Traverso. Planning for Learning Object Properties +[//]: # (Ron Petrick Heriot-Watt University, UK\) -Phani-Teja Singamaneni, Alessandro Umbrico, Andrea Orlandini and Rachid Alami. Adaptive Robot Navigation through Integrated Task and Motion Planning +[//]: # (Tom Silver Massachusetts Institute of Technology, USA\) -Selvakumar Hastham Sathiya Satchi Sadanandam, Sebastian Stock, Alexander Sung, Felix Ingrand, Oscar Lima, Marc Vinci and Joachim Hertzberg. A Closed-Loop Framework-Independent Bridge from AIPlan4EU's Unified Planning Platform to Embedded Systems +[//]: # (Mohan Sridharan University of Birmingham, UK\) -Oscar Lima Carrion, Martin Günther, Alexander Sung, Sebastian Stock, Marc Vinci, Amos Smith, Jan Christoph Krause and Joachim Hertzberg. A Physics-Based Simulated Robotics Testbed for Planning and Acting Research +[//]: # (Charlie Street University of Birmingham, UK\) -Valentin Hartmann and Marc Toussaint. Towards computing low-makespan solutions for multi-arm multi-task planning problems -Sofia Santilli, Alessandro Trapasso, Luca Iocchi and Fabio Patrizi. A novel algorithm for parallelizing actions of a sequential plan -Nikhil Chandak, Kenny Chour, Sivakumar Rathinam and R Ravi. Informed Steiner Trees: Sampling and Pruning for Multi-Goal Path Finding in High Dimensions -Anthony Favier, Shashank Shekhar and Rachid Alami. Anticipating False Beliefs and Planning Pertinent Reactions in Human-Aware Task Planning with Models of Theory of Mind +### List of Accepted Papers -David Zahrádka, Daniel Kubišta and Miroslav Kulich. Solving Robust Execution of Multi-Agent Pathfinding Plans as a Scheduling Problem +You can find them here in April... -## Workshop Schedule +### Workshop Schedule -TBD +TBD...