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Localization-Free Obstacle Avoidance
Novel navigation method without localization requirements
Aug 2023 – Dec 2023312 views
Invented a novel mathematical approach to obstacle avoidance that eliminates the need for localization systems. The method uses only local sensor data to make navigation decisions.
This research challenges traditional robotics paradigms by proving effective navigation is possible without SLAM or GPS. Published at FIRA RoboWorldCup 2023.
Results
- 1st Place FIRA 2023
- award
- 94%
- success Rate
- 8ms
- computation Time
Challenge
Designing a system that works reliably without position information in complex environments.
Approach
Developed equation-based decision making using only local sensor readings and heading direction.
Built with
C++ROSGazeboMathematical Modeling
Tags
#research#innovation#navigation#algorithm