UK PlanSIG 2026 will take place on February 9-10, 2026 in room G.07 of the Informatics Forum at the University of Edinburgh (map). If you are interested in attending the workshop, please make sure you register in advance of the workshop.
Day 1 - Monday, February 9, 2026
10:00 - 10:30 Registration and welcome coffee
10:30 - 10:45 Introduction and overview of the workshop
10:45 - 11:15 Long paper
Finding Human-Aligned Abstractions Efficiently for Explaining Plan Quality Differences
Benjamin Krarup, Amanda Coles, Derek Long, and David Smith
11:15 - 11:45 Long paper
Experience Report: Utilising Automated Planning Techniques in the Creation of Signal Plans for Urban Traffic Control
Lee Mccluskey, Alan Lindsay, Mauro Vallati, and Keith McCabe
11:45 - 12:15 Long paper
From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planning
Mustafa Abdelwahed, Joan Espasa, Alice Toniolo, and Ian Gent
12:15 - 12:35 Short paper
Planning for Marsupial Exploration in Partially-Known Environments
Kathryn Lampo, Jana Tumova, and Nick Hawes
12:35 - 13:30 Lunch
13:30 - 14:00 Long paper
Proper Open World Planning
Mikhail Soutchanski
14:00 - 14:30 Long paper
Neural Value Iteration
Yang You, Ufuk Çakır, Alex Schutz, and Nick Hawes
14:30 - 15:00 Long paper
Inspecting, Visualizing and Debugging Planning Problems with PDSim: A User Evaluation Study
Emanuele De Pellegrin and Ron Petrick
15:00 - 15:30 Long paper
Reasoning, Learning, and Planning in Ad Hoc Teams
Hasra Dodampegama and Mohan Sridharan
15:30 - 15:50 Short paper
Removing Planner Bias in Goal Recognition Through Multi-Plan Dataset Generation
Mustafa Abdelwahed, Felipe Meneguzzi, Kin Max Piamolini Gusmão, and Joan Espasa
15:50 - 18:00 Overview of Day 2 and afternoon activities
18:00 - 20:00 Dinner at Kalpna, 2-3 St Patrick Square (map)
Day 2 - Tuesday, February 10, 2026
09:00 - 09:30 Welcome coffee
09:30 - 09:45 Overview of Day 2
09:45 - 10:15 Long paper
Key Principles for Robot Architectures in the Era of Foundation Models
Mohan Sridharan
10:15 - 10:45 Long paper
Towards Scaling Generalised Planning with Curriculum Learning and Attention-based Policies
Isaac Symes Thompson, Alberto Caron, Chris Hicks, and Vasilios Mavroudis
10:45 - 11:15 Long paper
The Beta-Index: Insights into POMDP Structural Complexity
Yang You and Nick Hawes
11:15 - 11:45 Long paper
Dynamic Scene Reconstruction for Planning Environments
Albaraa Othman, Emanuele De Pellegrin, and Ron Petrick
11:45 - 12:05 Short paper
Adapting PDDL To Work In Dynamic Environments Using Unity NavMesh And PDSim
Ross Davidson and Alistair McConnell
12:05 - 13:00 Lunch
13:00 - 13:20 Short paper
Mission Planning for Long-Term Autonomous Operation of Underwater Gliders
Victor-Alexandru Darvariu, Bruno Lacerda, and Nick Hawes
13:20 - 13:50 Long paper
The MACB Problem: Definitions, Variants, and a PDDL+ Approach
Dani Papamaximou, Rongge Guo, Francesco Percassi, and Mauro Vallati
13:50 - 14:20 Long paper
Case Studies in Compiling Expressive Planning With Data Types
Carla Davesa Sureda, Joan Espasa, Mateu Villaret, and Ian Miguel
14:20 - 14:50 Long paper
Toward Automating Personalized Health Interventions: Joint Planning of Human and Robotic Activities with APLES
Lorenzo James, Emanuele De Pellegrin, and Ron Petrick
14:50 - 15:10 Short paper
Towards Generating Discriminating Instances for Multi-Agent Pathfinding: a Case Study with Shelf-Based Warehouse Scenarios
Tianchen Wu, Roman Barták, Nguyen Dang, Ian Miguel, and Jiří Švancara
15:10 - 15:20 Wrap up and departure
Emanuele De Pellegrin, University of Edinburgh, UK
Andy Edmondson, Heriot-Watt University, UK
Mary Ellen Foster, University of Glasgow, UK
Nick Hawes, Oxford University, UK
Lorenzo James, IÉSEG School of Management, France
Simon Parkinson, University of Huddersfield, UK
Ron Petrick, Heriot-Watt University, UK
Mohan Sridharan, University of Edinburgh, UK
Mauro Vallati, University of Huddersfield, UK
Ron Petrick, Heriot-Watt University, UK
Mohan Sridharan, University of Edinburgh, UK
UK PlanSIG 2026 is partially supported by the Edinburgh Centre for Robotics through the EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems (CDT-RAS) and the UKRI AI Centre for Doctoral Training in Dependable and Deployable AI for Robotics (CDT-D2AIR).