NAMOSIM

NAMOSIM is a mobile robot motion planner for the problem of navigation of movable obstacles (NAMO).

NAMO Simulator

NAMOSIM is a mobile robot motion planner for the problem of navigation of movable obstacles (NAMO). It computes plans for robots navigating in a 2D polygonal environment in which certain obstacles may be grasped and moved. This problem is pertinent for real-world robotics applications such as indoor, social environments where robots may need to move or manipulate objects in order to navigate and complete their tasks.

Cite Us

If you use NAMO in any capacity for your research, please do cite the associated paper:

@inproceedings{renault:hal-02912925,
  TITLE = {{Modeling a Social Placement Cost to Extend Navigation Among Movable Obstacles (NAMO) Algorithms}},
  AUTHOR = {Renault, Benoit and Saraydaryan, Jacques and Simonin, Olivier},
  URL = {https://hal.archives-ouvertes.fr/hal-02912925},
  BOOKTITLE = {{IROS 2020 - IEEE/RSJ International Conference on Intelligent Robots and Systems}},
  ADDRESS = {Las Vegas, United States},
  SERIES = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Conference Proceedings},
  PAGES = {11345-11351},
  YEAR = {2020},
  MONTH = Oct,
  DOI = {10.1109/IROS45743.2020.9340892},
  KEYWORDS = {Navigation Among Movable Obstacles (NAMO) ; Socially- Aware Navigation (SAN) ; Path planning ; Simulation},
  PDF = {https://hal.archives-ouvertes.fr/hal-02912925/file/IROS_2020_Camera_Ready.pdf},
  HAL_ID = {hal-02912925},
  HAL_VERSION = {v1},
}

Check out our IROS24 Paper at https://hal.science/hal-04705395.

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