This technology is a collaborative aerial transport system and method for multi-aerial manipulators that combines server-based offline path planning with individual online obstacle avoidance algorithms. It generates paths using Bezier curves and RRT*, and produces smooth trajectories through least-squares interpolation.
Drones face weight limitations that make it difficult to equip them with precise force and torque sensors, preventing the use of conventional force-based control algorithms. Furthermore, existing collaborative transport methods have struggled with object recognition in complex environments and high computational loads during centralized control.
This technology utilizes constraint-chain-based equations of motion and adaptive sliding mode controllers without the need for force or torque sensors. It proposes a method that applies Bezier curves and shape-preserving piecewise cubic interpolation for offline path generation. Online, it detects unknown obstacles via vision sensors, allowing a virtual leader to generate corrected paths for safe collaborative transport. Applicable to the aerial transport of large cargo and construction materials, it provides an economical solution for achieving stable collaboration among multiple drones without expensive force sensors.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of drone automation and vision-based operation technology for high-precision aerial manipulation.
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