On the performance of hierarchical distributed correspondence graphs for efficient symbol grounding of robot instructions

@article{Chung2015OnTP,
  title={On the performance of hierarchical distributed correspondence graphs for efficient symbol grounding of robot instructions},
  author={Istvan Chung and Oron Propp and Matthew R. Walter and Thomas M. Howard},
  journal={2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2015},
  pages={5247-5252}
}
Natural language interfaces are powerful tools that enables humans and robots to convey information without the need for extensive training or complex graphical interfaces. Statistical techniques that employ probabilistic graphical models have proven effective at interpreting symbols that represent commands and observations for robot direction-following and object manipulation. A limitation of these approaches is their inefficiency in dealing with larger and more complex symbolic… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 20 CITATIONS

Knowledge Based Hierarchical Decomposition of Industry 4.0 Robotic Automation Tasks

  • IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
  • 2018
VIEW 1 EXCERPT
CITES METHODS

Safe Navigation With Human Instructions in Complex Scenes

  • IEEE Robotics and Automation Letters
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

Learning models for following natural language directions in unknown environments

  • 2015 IEEE International Conference on Robotics and Automation (ICRA)
  • 2015
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A natural language planner interface for mobile manipulators

  • 2014 IEEE International Conference on Robotics and Automation (ICRA)
  • 2014
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Similar Papers

Loading similar papers…