Logo U. Osnabrueck Institute of Computer ScienceKnowledge-Based Systems Research Group

FLAP for CAOS: Forward-Looking Active Perception for Clutter-Aware Object Search

Thorsten Gedicke, Martin Günther and Joachim Hertzberg


Abstract

In this paper, we present a system for autonomous object search and exploration in cluttered environments. The system shortens the average time needed to complete search tasks by continually planning multiple perception actions ahead of time using probabilistic prior knowledge. Useful sensing actions are found using a frontier-based view sampling technique in a continuously built 3D map. We demonstrate the system on real hardware, investigate the planner's performance in three experiments in simulation, and show that our approach achieves shorter overall run times of search tasks compared to a greedy strategy.


Demo
This video shows the FLAP for CAOS system running live on a PR2 robot.

Paper
You can download the full paper here: [PDF] [Slides]

Bibtex

@InProceedings{Gedicke2016iav,
  title = {{FLAP} for {CAOS}: Forward-Looking Active Perception for Clutter-Aware Object Search},
  author = {Thorsten Gedicke and Martin G{\"u}nther and Joachim Hertzberg},
  booktitle = {Proc. 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV)},
  year = {2016},
  address = {Leipzig, Germany},
  pages = {114--119},
  month = jun,
  publisher = {IFAC}
}

Source Code
The source code is available on GitHub.


Thorsten Gedicke, April 2016