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Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration

Orlandini, Andrea; Cialdea Mayer, Marta; Umbrico Alessandro; Amedeo


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{
  "DOI": "10.1007/978-3-030-38561-3_12", 
  "author": [
    {
      "family": "Orlandini, Andrea"
    }, 
    {
      "family": "Cialdea Mayer, Marta"
    }, 
    {
      "family": "Umbrico Alessandro"
    }, 
    {
      "family": "Amedeo"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        3, 
        26
      ]
    ]
  }, 
  "abstract": "<p>During the last decade, industrial collaborative robots have entered assembly cells supporting human workers in repetitive and physical demanding operations. Such human-robot collaboration (HRC) scenarios entail many open issues. The deployment of highly flexible and adaptive plan-based controllers is capable of preserving productivity while enforcing human safety is then a crucial requirement. The deployment of plan-based solutions entails knowledge engineers and roboticists interactions in order to design well-suited models of robotic cells considering both operational and safety requirements. So, the ability of supporting knowledge engineering for integrating high level and low level control (also from non-specialist users) can facilitate deployment of effective and safe solutions in different industrial settings. In this chapter, we will provide an overview of some recent results concerning the development of a task planning and execution technology and its integration with a state of the art Knowledge Engineering environment to deploy safe and effective solutions in realistic manufacturing HRC scenarios. We will briefly present and discuss a HRC use case to demonstrate the effectiveness of such integration discussing its advantages.</p>", 
  "title": "Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration", 
  "version": "preprint", 
  "type": "chapter", 
  "id": "3859853"
}
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