Planly: Teaching AI Planning Through Block-Based Programming and Robotics

Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep) 2026 Open access

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Authors: Lee Clift, Damien Anderson, Catriona Weir, Phil Rodgers, Joseph El Gemayel
DOI: 10.1145/3777490.3777516
Cited by: 0
References: 2

Abstract

We present Planly, a tool that teaches AI planning concepts through block-based programming and physical robotics. Using a Scratch-like interface, students construct PDDL planning problems with visual blocks, defining objects, states, goals, and actions. The system validates code, solves problems, and executes solutions through both a provided digital simulation and via a physical Arduino-powered kinematic arm. This approach makes abstract AI planning accessible and engaging for compulsory education, primarily aimed at the upper primary age group of 8-11 year olds.

Fields of Study & Subjects

Teaching and Learning Programming Educational Robotics and Engineering AI-based Problem Solving and Planning

Publication details

Journal / source
Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep)
Pages
124–124
Publication date
21 January 2026
Language
EN