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To improve the effectiveness of the defense strategy of Robocup simulation robot soccer team, this paper proposes a BP neural network (BP NN) method to predict the weights of weighted mean distance model. The weighted mean distance model is first introduced into the defense strategy of one robot soccer team. A BP neural network model is then built to modify the weights of the weighted mean distance...
In order to improve the match success rate, we proposed a penalty kick strategy based on two-player collaborative shooting method which is used in two different defense patterns. In this strategy, a self-rotation shooting method is applied when the opponent goalkeeper run out to destroy the ball and a reflecting shooting method is used when the goalkeeper stays at the goal line. The SimuroSot 5vs5...
A two-agent collaborative shooting method based on BP neural network was proposed to improve the shooting success rate. In this method, the two players, an assistant player and a shooter, perform a shooting behavior collaboratively using the position relationships among the assistant player, the shooter and the goal. The three shooting parameters, the assistant's passing speed and passing angle and...
This paper proposes a agricultural robot's complete coverage path-planning method based on sub-region to avoid the overabundance of turns in narrow areas. First, a given environment is divided into several sub-regions without preserves. Second, the robot finds out the covering order of subregions by transforming it into the problem of Depth-First Search (DFS), and then it can cover all sub-regions...
In this paper, an integrated maneuver using hierarchical hybrid structure to both decision making system and control system is proposed. This maneuver combined with leader-follower formation approach can accomplish the attacking task availably for robot soccer. Two robots on which omni-directional vision cameras are mounted can be organized to form a sub-team for the offensive target. The experimental...
In this research, we develop an interactive robot system for object manipulation, which uses interactive GUI for supporting robot operation to acquire target object such as book picking from bookshelf. Interactive functions of service robotic system are indispensability because robot has not enough capability in recognition and judgment even using many kinds of sensors. The developed system supports...
Reinforcement learning(RL) has been applied on the testbed of keepaway, a typical multi-agent system. To get the best performances of RL and figure out what influence the learning speed and the finally results, different values of the important variables had been selected in the emulator. The results intimated the influence of each parameter to the course of learning, and established the base of exploring...
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