Mobile Robot Target Search: Integration of Particle Weights and Travel Distance Cost

Key Points

• The study aims to improve mobile robot target search by addressing signal instability and enhancing navigation efficiency.
• Developed a new target search technique that integrates particle weights and travel distance costs.
• Conducted real-world experiments in environments with obstacles and large spaces.
• Compared the performance against a method using only signal weights.
• Achieved a 32.4% reduction in average travel time in large environments.
• Improved average location estimation error by 42.8% over traditional methods.
• Demonstrated significant enhancement in robot navigation stability.

Abstract