Keywords: Quantum Annealing, Robotic Manipulation, D-Wave, Path Planning, Optimization
TL;DR: This paper explores FIQA-RM, integrating quantum annealing for enhanced robotic manipulation efficiency and precision, showcasing its potential over classical methods through case studies and architecture analysis.
Abstract: This work explores the application of quantum annealing to enhance robotic manipulation systems. Specifically, we aim to theoretically illustrate how QA can be employed to optimize robotic manipulation tasks. By formulating problems using either Quadratic Unconstrained Binary Optimization or Ising models, we introduce the Fully Integrated Quantum Annealing for Robotic Manipulation (FIQA-RM) system. This system utilizes D-Wave's quantum annealer to effectively address complex optimization challenges in robotic manipulation. Our approach demonstrates the feasibility of optimizing robotic systems using quantum annealing techniques.
Submission Number: 35
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