ScaFi-Blocks is a visual, low-code programming environment for designing and implementing swarm algorithms. Built on the ScaFi aggregate computing framework and the Blockly visual programming library, ScaFi-Blocks enables users to visually compose algorithms using intuitive building blocks, abstracting away the complexities of traditional swarm programming frameworks. This approach simplifies the development of collective behaviours for a wide range of swarm systems, including robot swarms, IoT device ensembles, and sensor networks, fostering broader accessibility and innovation within the field. This contribution bridges the gap between visual programming and textual code, lowering the barrier to entry for non-experts while promoting a deeper understanding of aggregate computing principles.

Aguzzi, G., Cerioni, M., Viroli, M. (2026). Low-code design of collective systems with ScaFi-Blocks. SCIENCE OF COMPUTER PROGRAMMING, 247, 1-9 [10.1016/j.scico.2025.103356].

Low-code design of collective systems with ScaFi-Blocks

Aguzzi G.;Viroli M.
2026

Abstract

ScaFi-Blocks is a visual, low-code programming environment for designing and implementing swarm algorithms. Built on the ScaFi aggregate computing framework and the Blockly visual programming library, ScaFi-Blocks enables users to visually compose algorithms using intuitive building blocks, abstracting away the complexities of traditional swarm programming frameworks. This approach simplifies the development of collective behaviours for a wide range of swarm systems, including robot swarms, IoT device ensembles, and sensor networks, fostering broader accessibility and innovation within the field. This contribution bridges the gap between visual programming and textual code, lowering the barrier to entry for non-experts while promoting a deeper understanding of aggregate computing principles.
2026
Aguzzi, G., Cerioni, M., Viroli, M. (2026). Low-code design of collective systems with ScaFi-Blocks. SCIENCE OF COMPUTER PROGRAMMING, 247, 1-9 [10.1016/j.scico.2025.103356].
Aguzzi, G.; Cerioni, M.; Viroli, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1026172
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