Bridging the gap between discrete symbolic planning and optimization-based robot control

  • Scioni E
  • Borghesan G
  • Bruyninckx H
 et al. 
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Symbolic reasoners generate plans which are often not exploiting the robot capabilities and are sensitive to runtime disturbances. This work proposes a scheduler as an interface between a discrete, symbolic plan and a motion control based on constraint optimization. Acting as a local reasoner, the scheduler valuates a set of predicates to decide when an action will be executed. Given a task specification which describes how the action should be realized, the scheduler configures the controller at runtime. A demonstration will be provided considering an “open drawer” scenario.

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  • Enea Scioni

  • Gianni Borghesan

  • Herman Bruyninckx

  • Marcello Bonfe

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