Multi-robot task allocation using CNP combines with neural network

Contract Net Protocol is a suitable method for multi-robot task allocation problems. However, it is difficult to find a function to evaluate robots’ bids when each robot gives more than one bid price to reflect its different abilities. We propose a method to fuse these prices and to decide which robot is the successful bidder using a BP neural network. The experiment result shows that the method is effective.