Abstract
A concept called "common reference object" is proposed for cooperatively transportation and a decentralized system consisting of multiple noholonomic mobile robots is constructed to demonstrate the present concept. In this system, one agent acts as the leader, which is able to plan and manipulate the omnidirectional motion of the object. Other agents referred to as followers are equipped with compliance arms and cooperatively transport the object by keeping a constant position relative to the object. During transportation operation, the leader robot can not only plan the motion of the object but also broadcast the local velocity of the object to other agents. Then, each follower receives such information and generates its own velocity in the local coordinate using a mapping process. In this paper, neural network (NN) and genetic algorithm (GA) are tested in identifying the mapping process. Simulation results show a good performance of the present system.
| Original language | English |
|---|---|
| Pages (from-to) | 515-520 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| Volume | 1 |
| Publication status | Published - 2003 |
| Externally published | Yes |
| Event | 2003 IEEE International Conference on Robotics and Automation - Taipei, Taiwan, Province of China Duration: Sept 14 2003 → Sept 19 2003 |
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering