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Multi-robot collision avoidance method in sweet potato fields.

Kang Xu1, Jiejie Xing2, Wenbin Sun1

  • 1College of Information and Communication Engineering, Hainan University, Haikou, China.

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Summary

This study introduces a low-cost, multi-robot collision avoidance method for sweet potato fields. The system enhances operational efficiency and safety by predicting and preventing robot collisions proactively.

Keywords:
accurate sprayingcollision avoidanceitinerary tablemulti-robotsweet potatoes

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Area of Science:

  • Agricultural Robotics
  • Autonomous Navigation
  • Collision Avoidance Systems

Background:

  • Current sweet potato spraying relies on inefficient, labor-intensive single or semi-mechanized robots.
  • Timely pest and disease control is hindered by low operational efficiency in current methods.
  • Multi-robot systems offer improved efficiency but face challenges in safe and robust collision avoidance.

Purpose of the Study:

  • To develop a low-cost, multi-robot collision avoidance strategy for autonomous navigation in sweet potato fields.
  • To enhance the safety and efficiency of multiple robots operating concurrently.
  • To address the limitations of existing methods in preventing in-field collisions.

Main Methods:

  • Proposed a novel multi-robot collision avoidance method utilizing robot position and environmental data.
  • Implemented a proactive path adjustment strategy based on predicted collision risks.
  • Validated the approach through simulation, focusing on safe and efficient navigation.

Main Results:

  • The collision avoidance method demonstrated good performance in simulations.
  • The system successfully predicted and mitigated potential collisions by adjusting paths in advance.
  • Robots navigated effectively within the complex field environment without becoming stuck.

Conclusions:

  • The proposed low-cost multi-robot collision avoidance approach is effective for autonomous navigation in agricultural fields.
  • This method enhances operational efficiency and safety without requiring expensive hardware or extensive tuning.
  • It provides a viable solution for simultaneous robot operations, overcoming previous limitations.