Two UAVs use an adaptive controller to collaboratively transport a bendable object along trajectories, adapting on-the-fly to unknown deformable properties with Lyapunov-proven asymptotic stability and hardware validation.
Modeling, learning, perception, and control methods for deformable object manipulation
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A SA-KLQR controller with tactile feedback enables real-time regulation of angle, pressure, and coverage for a deformable swab tool in food-safety sampling.
citing papers explorer
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AirBender: Adaptive Transportation of Bendable Objects Using Dual UAVs
Two UAVs use an adaptive controller to collaboratively transport a bendable object along trajectories, adapting on-the-fly to unknown deformable properties with Lyapunov-proven asymptotic stability and hardware validation.
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Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing
A SA-KLQR controller with tactile feedback enables real-time regulation of angle, pressure, and coverage for a deformable swab tool in food-safety sampling.