In this paper we present role-based control which is a general bottom-up approach to the control of locomotion in self-reconfigurable robots. We use role-based control to implement a caterpillar, a sidewinder, and a rolling track gait in the CONRO self-reconfigurable robot consisting of eight module
Multiagent control of self-reconfigurable robots
β Scribed by Hristo Bojinov; Arancha Casal; Tad Hogg
- Book ID
- 104105203
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 457 KB
- Volume
- 142
- Category
- Article
- ISSN
- 0004-3702
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β¦ Synopsis
We demonstrate how multiagent systems provide useful control techniques for modular selfreconfigurable (metamorphic) robots. Such robots consist of many modules that can move relative to each other, thereby changing the overall shape of the robot to suit different tasks. Multiagent control is particularly well-suited for tasks involving uncertain and changing environments. We illustrate this approach through simulation experiments of Proteo, a metamorphic robot system currently under development.
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## Abstract A system based on multiagents is proposed as an information processing model for robot programming. This model uses objectβoriented representation in which physical entities are described as logical objects. An agent is an active and independent logical entity which can control objects.