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Updated: Jul 27, 2025
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Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
Published on: December 19, 2016
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An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance
Xuelong Sun1, Qinbing Fu1, Jigen Peng1
1School of Mathematics and Information Science, Guangzhou University, Guangzhou, 510006, China; Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, 510006, China.
Summary
This study introduces a novel insect-inspired autonomous navigation algorithm. It integrates goal-seeking and collision avoidance for robust robot navigation in dynamic environments.
Area of Science:
- Robotics
- Bio-inspired engineering
- Computational neuroscience
Background:
- Autonomous navigation is crucial for robots and animals.
- Insect navigation offers insights for bio-inspired solutions.
- Previous studies often focused on either goal-seeking or collision avoidance separately.
Purpose of the Study:
- To develop an insect-inspired autonomous navigation algorithm.
- To integrate both goal approaching and collision avoidance mechanisms.
- To investigate sensory-motor closed-loop navigation.
Main Methods:
- Integrated a sweat bee path integration (PI) model for goal-seeking.
- Incorporated a locust lobula giant movement detector (LGMD) model for collision avoidance.
- Implemented the algorithm in agents for navigation tasks within simulated environments.
Main Results:
- The algorithm successfully guided agents through complex navigation tasks.
- Demonstrated robust and efficient performance in static and dynamic environments.
- Showcased effective integration of global and local navigation cues.
Conclusions:
- The proposed algorithm represents a first step in coordinating insect-like navigation mechanisms.
- This integrated approach enhances autonomous navigation capabilities.
- Provides a foundation for future research in bio-inspired robotics.
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