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Related Experiment Video

Updated: Jul 7, 2026

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Evolutionary programming-based univector field navigation method for past mobile robots.

Y J Kim¹, J H Kim, D S Kwon

¹Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|February 5, 2008

Summary

This summary is machine-generated.

This study introduces a new univector field method for fast mobile robot navigation. It ensures robots reach target positions with the correct orientation while avoiding obstacles.

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Area of Science:

Robotics
Artificial Intelligence
Control Systems

Background:

Existing mobile robot navigation and obstacle avoidance methods often neglect robot orientation at the target.
Current techniques focus solely on robot position, ignoring orientation and velocity, leading to suboptimal performance.

Purpose of the Study:

To propose a novel univector field method for fast mobile robot navigation.
To address limitations in current techniques by incorporating robot orientation and velocity for precise target arrival and obstacle avoidance.

Main Methods:

A normalized two-dimensional vector field is introduced for robot navigation.
A function approximator trained by evolutionary programming is utilized to generate a sub-optimal vector field.
Two distinct vector fields are trained: one for final posture acquisition and another for obstacle avoidance.

Main Results:

The proposed method enables fast mobile robots to achieve desired postures at target locations.
Effective obstacle avoidance is demonstrated alongside precise final posture acquisition.
Computer simulations and real-world experiments validate the scheme's effectiveness.

Conclusions:

The novel univector field method successfully integrates robot orientation and obstacle avoidance for efficient navigation.
The approach provides a robust solution for fast mobile robot navigation, ensuring both target accuracy and safety.
The use of evolutionary programming for training vector fields offers a promising direction for advanced robot control.