Autonomous Multi-Agent Docking Using Color Segmentation

Abstract

This poster will look at the work in progress of an autonomous multi-agent scheme for ego-centric docking, meaning that the agent docking has no communication or help from the agent to which it is docking. Docking has become a major issue in marsupial robots, and has applications in space exploration, urban search and rescue, and reconnaissance. This work attempts to make use of color segmentation of a fiducial and affordances in reactive behaviors to autonomously dock a mobile robot agent, specifically a marsupial type of heterogeneous team. To this end, a real-time solution was also needed, and thus limited the algorithm to the lowest order complexity that could be managed while still being robust.

Cite

Text

Hyams. "Autonomous Multi-Agent Docking Using Color Segmentation." AAAI Conference on Artificial Intelligence, 2000.

Markdown

[Hyams. "Autonomous Multi-Agent Docking Using Color Segmentation." AAAI Conference on Artificial Intelligence, 2000.](https://mlanthology.org/aaai/2000/hyams2000aaai-autonomous/)

BibTeX

@inproceedings{hyams2000aaai-autonomous,
  title     = {{Autonomous Multi-Agent Docking Using Color Segmentation}},
  author    = {Hyams, Jeff},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2000},
  pages     = {1076},
  url       = {https://mlanthology.org/aaai/2000/hyams2000aaai-autonomous/}
}