iRoPro: An interactive Robot Programming Framework

Liang, Ying; Pellier, Damien; Fiorino, Humbert; Pesty, Sylvie

doi:10.1007/s12369-021-00775-9

Cited by 10 publications

(1 citation statement)

References 35 publications

(66 reference statements)

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“…After excluding projects concerning specific robot hardware development, Liang et al [11] proposed a framework for robot action teaching, reuse, and refinement, where a graphical interface permits action details calibration to optimize robot performance, applying a mathematical model for process execution. Their solution requires a degree of automatic planning knowledge related to AI models.…”

Section: Introductionmentioning

confidence: 99%

A graphical programming environment oriented to the reactive paradigm for the multimodal control of an intelligent robot based on Raspberry Pi

Segura,

Higuchi,

Vinces

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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In the fields of computer science and electronics, resources for artificial intelligence and robotics tend to be aimed at experts, making it challenging for students to enter these fields without specialist assistance. To address this issue, this project proposes a cost-effective and educational development environment for graphical programming utilizing node-based programming and a Raspberry Pi-controlled robot. The software architecture, developed in Python, incorporates graphical resources to enable signal processing, remote connection, and artificial intelligence libraries under the functional programming paradigm. The resulting programming environment is intuitive and user-friendly, offering artificial intelligence capabilities to a multimodal robotic system controlled by Raspberry Pi.

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Section: Introductionmentioning

confidence: 99%