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Lattice Automata for Control of Self-Reconfigurable Robots

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 33-45

Publication milestones

  • Published - 14/11/2015

Publication status

Published - 14/11/2015

Edition

1

Volume

13

Publisher

Springer, United States, Germany

Book series

  • Book series name: Emergence, Complexity, and Computation (ECC)
    Volume: 13
    ISSN: 2194-7287
978-3-319-10923-7

ISBN (Electronic)

978-3-319-10924-4

Chapter Number

2

Host publication title

Robots and Lattice Automata

Host publication editors

  • Georgios Sirakoulis
  • Andrew Adamatzky

Abstract

Self-reconfigurable robots are built from robotic modules typically organised in a lattice. The robotic modules themselves are complete, although simple, robots and have onboard batteries, actuators, sensors, processing power, and communication capabilities. The modules can automatically connect to and disconnect from neighbour modules and move around in the lattice of modules. The self-reconfigurable robot as a whole can, through this automatic rearrangement of modules, change its own shape to adapt to the environment or as a response to new tasks. Potential advantages of self-reconfigurable robots are extreme versatility and robustness. The organisation of self-reconfigurable robots in a lattice structure and the emphasis on local communication between modules mean that lattice automata are a useful basis for control of self-reconfigurable robots. However, there are significant differences which arise mainly from the physical nature of self-reconfigurable robots as opposed to the virtual nature of lattice automata. The problems resulting from these differences are mutual exclusion, handling motion constraints of modules, and unrealistic assumption about global, spatial orientation. Despite these problems the self-reconfigurable robot community has successfully applied lattice automata to simple control problems. However, for more complex problems hybrid solutions based on lattice automata and distributed algorithms are used. Hence, lattice automata have shown to have potential for the control of self-reconfigurable robots, but still a unifying implementation based on lattice automata solving a complex control problem running on physical self-reconfigurable robot is yet to be demonstrated.

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