Unifying strategies of obstacle avoidance and shooting for soccer robot systems

Kim, Cheol-Joong; Park, Mun-Soo; Topalov, Andon V.; Chwa, Dongkyoung; Hong, Suk-Kyo

doi:10.1109/iccas.2007.4406909

Cited by 1 publication

(2 citation statements)

References 5 publications

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“…4 shows the version 1.5 Robot Soccer Simulator. An Australian teacher, Dr. Jun Jo created this simulator (Kim et al, 2007). This is the Federation of International Robot-soccer Association (FIRA) official simulator.…”

Section: Methodsmentioning

confidence: 99%

“…We take the value of 1) the distance to the goal 2) the distance to the closest obstacle 3) the angle between the current robot orientation and the direction to the goal 4) the angle between the current robot orientation and the direction to the closest obstacle (Kim et al, 2007). We concentrate on developing the function of robot soccer including how the robot avoids the obstacle around it.…”

Section: Basic Concept Of Robot Soccermentioning

confidence: 99%

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Position and Obstacle Avoidance Algorithm in Robot Soccer

Pratomo

Prabuwono

Zakaria

et al. 2010

Journal of Computer Science

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Problem statement: Robot soccer is an attractive domain for researchers and students working in the field of autonomous robots. However developing (coding, testing and debugging) robots for such domain is a rather complex task. Approach: This study concentrated on developing position and obstacle avoidance algorithm in robot soccer. This part is responsible for realizing soccer skills such as movement, shoot and goal keeping. The formulation of position and obstacle avoidance was based on mathematical approach. This formula is to make sure that the movement of the robot is valid. Velocity of the robot was calculated to set the speed of the robot. The positioning theory including the coordination of the robot (x,y) was used to find the obstacle and avoid it. Results: Some simulations and testing had been carried out to evaluate the usefulness of the proposed algorithms. The functions for shooting, movement and obstacle avoidance had been successfully implemented. Conclusion: The results showed its possibility could be used as strategy algorithms in real robot soccer competition.

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Section: Methodsmentioning

confidence: 99%

Section: Basic Concept Of Robot Soccermentioning

confidence: 99%