2D path planning: a configuration space heuristic approach
International Journal of Robotics Research
Integrating behavioral, perceptual, and world knowledge in reactive navigation
Robotics and Autonomous Systems
Animal behavior as a paradigm for developing robot autonomy
Robotics and Autonomous Systems
A biological perspective on autonomous agent design
Robotics and Autonomous Systems
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The aim of this paper is to develop a theory capable of describing the behavior of a group of artificial worms. The worms move through free-formed narrow paths and avoid obstacles in pursuit of a goal. They can move forward, backward, and rotate. The group of worms can divide, and also regroup. In this paper, the worms reach their goals by using a strategy provided by a bionic model. In this bionic model, both the worms and the goals emit waves. The worms perceive their environment in terms of these waves, and choose their movements accordingly. (One could compare the worms to bats using sonar to avoid trees while pursuing a mosquito). Here, we illustrate worm behavior through computer simulations. These simulations show all behaviors-specifically pursuit of goals, avoiding obstacles, and group fission and fusion.