A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing

نویسندگان

  • Lyudmila Mihaylova
  • Tine Lefebvre
  • Herman Bruyninckx
  • Klaas Gadeyne
  • Joris De Schutter
چکیده

This work presents a comparison of decision making criteria and optimization methods for active sensing in robotics. Active sensing incorporates the following aspects: (i) where to position sensors, and (ii) how to make decisions for next actions, in order to maximize information gain and minimize costs. We concentrate on the second aspect: “Where should the robot move at the next time step?”. Pros and cons of the most often used statistical decision making strategies are discussed. Simulation results from a new multisine approach for active sensing of a nonholonomic mobile robot are given.

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تاریخ انتشار 2002