Abstract
Robots can play a significant role in product customization but they should leave a repetitive, low intelligence paradigm and be able to operate in unstructured environments and take decisions during the execution of the task. The EuRoC research project addresses this issue by posing as a competition to motivate researchers to present their solution to the problem. The first stage is a simulation competition where Pick & Place type of tasks are the goal and planning, perception and manipulation are the problems. This paper presents a skill-based architecture that enables a simulated moving manipulator to solve these tasks. The heuristics that were used to solve specific tasks are also presented. Using computer vision methods and the definition of a set of manipulation skills, an intelligent agent is able to solve them autonomously. The work developed in this project was used in the simulation competition of EuRoC project by team IRIS and enabled them to reach the \(5^{\mathrm {th}}\) rank.
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Pedrosa, E., Lau, N., Pereira, A., Cunha, B. (2015). A Skill-Based Architecture for Pick and Place Manipulation Tasks. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 2015. Lecture Notes in Computer Science(), vol 9273. Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_45
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DOI: https://doi.org/10.1007/978-3-319-23485-4_45
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