DROCS: Distributed multi-robot on-demand control system

Woong Gyu La, Seungho Yoo, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a network-enabled platform for multiple robots. With the advance of robotics, robots penetrate into our daily lives, and the number of robots is continuously increasing. As the performance of the robots increased, the sphere of activities also increased. And this leads communication distance among robots longer. In environment with multiple robots in wide area, communication among robots become important. However, the most popular robotics system, the Robot Operating System, assumes that the network is providing a confident communication. This might lead overall system failure when master node of the system could not communicate with other nodes. Also the ROS's publish-subscribe model's anonymous communication became a barrier to efficient neighbor management. To complement the glitches of powerful system, we proposed system, DROCS, which supports network function. Further, it provides a useful high-level functions for applications which runs multiple robots. With our implementation, the proposed system achieves network management and neighbor-awareness of multiple robot system.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1448-1453
Number of pages6
ISBN (Electronic)9781538637418
DOIs
Publication statusPublished - 2018 Mar 23
Event2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017 - Macau, China
Duration: 2017 Dec 52017 Dec 8

Publication series

Name2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Volume2018-January

Other

Other2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Country/TerritoryChina
CityMacau
Period17/12/517/12/8

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation

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