1992Journal of the Robotics Society of JapanOpen access

Autonomous Generation of the Potential Field on Obstacle Avoidance Problem.

Shuichi Yokoyama, Masabumi UCHIDA, Kei Fukushima, Toshio AKINUMA

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Abstract

It is necessaryfor an autonomous mobile robot to solve the problem of obstacles avoidance.Po tential method is one of superior to solve this problem.And there are some reports which showed the effect of potential method.But there is few discussion about how to make potential field.In this paper, we try to generate potential field by parallel distributed processing with the group of ele ments "Sensory Points", and defined the motion of elements.As a result of computer simulation, we confirmed as follows: it is possible to generate the potential field quickly with sensory points, and potential field which we generated is effective to solve the obstacle avoidance problem.

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What this paper is about

It is necessaryfor an autonomous mobile robot to solve the problem of obstacles avoidance.Po tential method is one of superior to solve this problem.And there are some reports which showed the effect of potential method.But there is few discussion about how to make potential field.In this paper, we try to generate potential field by parallel distributed processing with the group of ele ments "Sensory Points", and defined the motion of elements.As a result of computer simulation, we confirmed as follows: it is possible to generate the potential field quickly with sensory points, and potential field which we generated is effective to solve the obstacle avoidance problem.

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Available abstract

It is necessaryfor an autonomous mobile robot to solve the problem of obstacles avoidance.Po tential method is one of superior to solve this problem.And there are some reports which showed the effect of potential method.But there is few discussion about how to make potential field.In this paper, we try to generate potential field by parallel distributed processing with the group of ele ments "Sensory Points", and defined the motion of elements.As a result of computer simulation, we confirmed as follows: it is possible to generate the potential field quickly with sensory points, and potential field which we generated is effective to solve the obstacle avoidance problem.

Key concepts: Potential field, Obstacle avoidance, Field (mathematics), Mobile robot, Collision avoidance, Computer science, Obstacle, Motion planning

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